Drug$ - A Documentary on Big Pharma Conspiracy (2018)

Note:- 👇 This documentary was collected from Youtube

Synopsis:

Narrated by Academy Award® Winner J.K. Simmons, DRUG$ is a feature-length documentary about the soaring price of medicines in the U.S., featuring interviews with academics, patients, advocates and political leaders, including Senator Bernie Sanders and Congressman Elijah Cummings. In a titanic struggle against corporate greed, see how a diverse group of concerned Americans is fighting back to keep lifesaving medicines affordable for us all......

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Is It Worth Storing Your Baby's Cord Blood ? - A Medical Documentary by The Fifth Estate

Note:- 👇 This documentary was collected from Youtube

Synopsis:

Stem Cells, extracted from the umbilical cord shortly after a baby is born, could save a child's life. But experts say there is little benefit to parents who store that blood in private blood banks......

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Unreported: The Essure Story | Implant Files - A Medical Documentary by The Fifth Estate.

Note:- 👇 This documentary was collected from Youtube

Synopsis:

Essure was billed as a safe, simple and non-surgical form of permanent birth control. It was implanted into thousands of women in Canada, and about a million around the world. But some of those women are experiencing medical complications that have led to surgery, including hysterectomies. Should regulatory agencies, like Health Canada, have been more vigilant in ensuring the device was adequately studied before being approved? Gillian Findlay investigates about this issue.....

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Science of Fasting - A Documentary about Fasting for Cure

Note:- 👇 This documentary was collected from Youtube

Synopsis:

Young biologists from the University of Southern California have overturned conventional wisdom and used molecular biology to demonstrate the powerful effects of fasting. This research suggests a wide-ranging potential, which could include treatments for the disease of the century, cancer. If these scientists are right, maybe our approach to disease and treatment will need a rethink........

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Reversing Roe (2018) - A Documentary on ABORTION; the Most Controversial Issue.

Note:- 👇 This documentary was collected from YTS.AM

Synopsis:

A deep historical look at one of the most controversial issues of our time, highlighting the ABORTION debate from various points along the ideological spectrum in a winding story of abortion in America.......

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Under Our Skin 2: Emergence - From Horror to Hope. (Part 02)

Note:- 👇 This documentary was collected from Youtube.

Synopsis:

In this dramatic follow-up to UNDER OUR SKIN, EMERGENCE takes the viewer on a journey from horror to hope. We witness the emerging epidemic of Lyme disease as infection and education spread globally. We watch as the truth emerges about the disease's persistence and reach, about promising new research, and about medical collusion and conflicts of interest that continue to impede progress. We revisit the characters from UNDER OUR SKIN as they emerge into better health, reclaiming their lives and dignity, and offering hope to the legions now suffering. As Lyme disease surges, EMERGENCE shines a probing light on the issue and becomes a beacon in the dark .......

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To Go Back to Part 01; Click Here.

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Under Our Skin - The Untold Story of Lyme Disease. (Part 01)

Note:- 👇 This documentary was collected from Youtube.

Synopsis:

One difficulty in diagnosing Lyme disease is the fact that its symptoms are very broad, they seem to mimic those of other diseases and they vary from patient to patient. This documentary investigates the epidemic we are now facing and traces its flourishing to a negligent and corrupt health care system. Interviews with patients and doctors paints a clear picture of a medical industry that has decided to place profits ahead of the health of the people it is supposed to be treating .......

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To Watch Part 02; Click Here.

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Our Battle Ongoing: Lyme Disease in Australia - Medical Documentary on Ongoing Lyme Disease Crisis in Australia.

Note:- 👇 This documentary was collected from Youtube.

Synopsis:

Our Battle Ongoing takes a look into the lives of Australians across the nation currently suffering from Lyme disease or a Lyme-like illness. Every individual has their own unique story as symptoms differ from person to person, but they are all united in a common cause of seeing recognition come to those suffering now and for the generations to come. With little to no help currently available, some have to take drastic measures in order to receive treatment. Our Battle Ongoing brings to light the tragedy of living with an invisible illness in Australia .......

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The Mysterious World Under Our Skin - A Latest Scientific Finding Medical Documentary by DW; on Skin Tissues.

Note:- 👇 This documentary was collected from Youtube.

Synopsis:

Under the skin, the human body has a connective tissue called fascia that contains muscles and nerves. But what does the fascia do? What is the real role of this whole-body network? Is it a starting point for new therapies and cures for one of the world's most widespread disorders, back pain, for example? This documentary presents the latest scientific findings by international researchers and provides some surprising insights. For a long time, the fascia was viewed as an insignificant sheathing membrane that was ignored by surgeons and excised by anatomists. .......

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Artificial Intelligence (AI) in Healthcare ..... Part 02

Applications of AI in Healthcare in near future.

The Healthcare industry is ripe for some major changes.  From chronic diseases and cancer to radiology and risk assessment, there are nearly endless opportunities to leverage technology to deploy more precise, efficient, and impactful interventions at exactly the right moment in a patient’s care. When it comes to our health, especially in matters of life and death, the promise of artificial intelligence (AI) to improve outcomes is very intriguing. 

While there is still much to overcome to achieve, AI-dependent health care, most notably data privacy concerns and fears of mismanaged care due to machine error and lack of human oversight, there is sufficient potential that governments, tech companies, and healthcare providers are willing to invest and test out AI-powered tools and solutions. Such tools and solutions are explained below:

• AI-Assisted Robotic Surgery:

Da Vinci Surgical Robot.

Robot-assisted surgery is considered "minimally invasive" so patients won't need to heal from large incisions. Via artificial intelligence, robots can use data from past operations to inform new surgical techniques. The positive results are indeed promising. One study that involved 379 orthopedic patients found that AI-assisted robotic procedure resulted in five times fewer complications compared to surgeons operating alone. A robot was used on an eye surgery for the first time, and the most advanced surgical robot, the Da Vinci allows doctors to perform complex procedures with greater control than conventional approaches. Heart surgeons are assisted Heartlander, a miniature robot, that enters a small incision on the chest to perform mapping and therapy over the surface of the heart.

• Virtual Nursing Assistants:

AI-Powered Virtual Health Assistance.

From interacting with patients to directing patients to the most effective care setting, virtual nursing assistants could save the healthcare industry a certain amount of billions annually. Since virtual nurses are available 24/7, they can answer questions, monitor patients and provide quick answers. Most applications of virtual nursing assistants today allow for more regular communication between patients and care providers between office visits to prevent hospital readmission or unnecessary hospital visits. Care Angel's virtual nurse assistant can even provide wellness checks through voice and AI.

• Aid Clinical Judgment or Diagnosis:

Admittedly, using AI to diagnose patients is undoubtedly in its infancy, but there have been some exciting use cases. A Stanford University study tested an AI algorithm to detect skin cancers against dermatologists, and it performed at the level of the humans. A Danish AI software company tested its deep-learning program by having a computer eavesdrop while human dispatchers took emergency calls. The algorithm analyzed what a person says, the tone of voice and background noise and detected cardiac arrests with a 93% success rate compared to 73% for humans. Baidu Research recently announced that the results of early tests on its deep learning algorithm indicate that it can outperform humans when identifying breast cancer metastasis. Prime minister Theresa May announced an AI revolution would help the National Health Service (NHS), the UK's healthcare system, predict those in an early stage of cancer to ultimately prevent thousands of cancer-related deaths by 2033. The algorithms will examine medical records, habits and genetic information pooled from health charities, the NHS and AI.

• Workflow and Administrative Tasks:

Another way AI can impact healthcare is to automate administrative tasks. It is expected that this could result in $18 billion in savings for the healthcare industry as machines can help doctors, nurses and other providers save time on tasks. Technology such as voice-to-text transcriptions could help order tests, prescribe medications and write chart notes. One example of using AI to support admin tasks is a partnership between the Cleveland Clinic and IBM that uses IBM’s Watson to mine big data and help physicians provide a personalized and more efficient treatment experience. One way Watson supports physicians is being able to analyze thousands of medical papers using natural language processing to inform treatment plans.

• Managing Medical Records and Other Data:

Since the first step in health care is compiling and analyzing information (like medical records and other past history), data management is the most widely used application of artificial intelligence and digital automation. Robots collect, store, re-format, and trace data to provide faster, more consistent access.

• Doing Repetitive Jobs:

Analyzing tests, X-Rays, CT scans, data entry, and other mundane tasks can all be done faster and more accurately by robots. Cardiology and radiology are two disciplines where the amount of data to analyze can be overwhelming and time consuming. Cardiologists and radiologists in the future should only look at the most complicated cases where human supervision is useful.

• Treatment Design:

Artificial intelligence systems have been created to analyze data notes and reports from a patient’s file, external research, and clinical expertise to help select the correct, individually customized treatment path.

• Digital Consultation:

Apps like Babylon in the UK use AI to give medical consultation based on personal medical history and common medical knowledge. Users report their symptoms into the app, which uses speech recognition to compare against a database of illnesses. Babylon then offers a recommended action, taking into account the user’s medical history.

• Drug Creation:

Developing pharmaceuticals through clinical trials can take more than a decade and cost billions of dollars. Making this process faster and cheaper could change the world. Amidst the recent Ebola virus scare, a program powered by AI was used to scan existing medicines that could be redesigned to fight the disease.

The program found two medications that may reduce Ebola infectivity in one day, when analysis of this type generally takes months or years; a difference that could mean saving thousands of lives.

• Precision Medicine:

Genetics and genomics look for mutations and links to disease from the information in DNA. With the help of AI, body scans can spot cancer and vascular diseases early and predict the health issues people might face based on their genetics.

Reference:

• www.forbes.com. 2018. No page title. [ONLINE] Available at: https://www.forbes.com/sites/bernardmarr/2018/07/27/how-is-ai-used-in-healthcare-5-powerful-real-world-examples-that-show-the-latest-advances/#52ae0d145dfb. [Accessed 04 October 2018].

• HealthITAnalytics. 2018. Top 12 Ways Artificial Intelligence Will Impact Healthcare. [ONLINE] Available at: https://healthitanalytics.com/news/top-12-ways-artificial-intelligence-will-impact-healthcare. [Accessed 04 October 2018].

• https://novatiosolutions.com/10-common-applications-artificial-intelligence-healthcare/

...... Click Here To Read Part 01 ......

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Artificial Intelligence (AI) in Healthcare ..... Part 01

Applications of AI in Healthcare.

Artificial intelligence has many applications across various industries, and healthcare is one that could be transformed by the technology. The potential for AI in healthcare is tremendous as it increasingly becomes integrated into the healthcare ecosystem. The processing power of AI has applications far beyond providing simple diagnoses. It can be used to help health professionals identify the severity of what is wrong with the patient and provide insight as to why they are experiencing certain symptoms. This additional information helps doctors decide on the most effective treatment. Also, AI is transforming the way doctors deliver cost-effective, high-quality diagnostic and treatment services to their patients. For example, the technology can identify patterns and anomalies in diagnostic data from medical scans at a speed and volume that humans are simply unable to replicate. Some more applications of AI, are covered below:

• AI offers a number of advantages over traditional analytics and clinical decision-making techniques.  Learning algorithms can become more precise and accurate as they interact with training data, allowing humans to gain unprecedented insights into diagnostics, care processes, treatment variability, and patient outcomes.  

BCI for a locked-in syndrome patient.

• Neurological diseases and trauma to the nervous system can take away some patients’ abilities to speak, move, and interact meaningfully with people and their environments.  Brain-computer interfaces (BCIs) backed by artificial intelligence could restore those fundamental experiences to those who feared them lost forever. Brain-computer interfaces could drastically improve quality of life for patients with Amyotrophic Lateral Sclerosis (ALS), strokes, or locked-in syndrome, as well as the 500,000 people worldwide who experience spinal cord injuries every year.

• Artificial intelligence is helping to enable “Virtual Biopsies” and advance the innovative field of radiomics, which focuses on harnessing image-based algorithms to characterize the phenotypes and genetic properties of tumors.

• Shortages of trained healthcare providers, including ultrasound technicians and radiologists can significantly limit access to life-saving care in developing nations around the world. Artificial intelligence could help mitigate the impacts of this severe deficit of qualified clinical staff by taking over some of the diagnostic duties typically allocated to humans.For example, AI imaging tools can screen chest x-rays for signs of tuberculosis, often achieving a level of accuracy comparable to humans.  This capability could be deployed through an app available to providers in low-resource areas, reducing the need for a trained diagnostic radiologist on site. However, algorithm developers must be careful to account for the fact that disparate ethnic groups or residents of different regions may have unique physiologies and environmental factors that will influence the presentation of disease.

Electronic Health Records.

• Electronic Health Records (EHR) have played an instrumental role in the healthcare industry’s journey towards digitalization, but the switch has brought myriad problems associated with cognitive overload, endless documentation, and user burnout. EHR developers are now using artificial intelligence to create more intuitive interfaces and automate some of the routine processes that consume so much of a user’s time. Antibiotic resistance is a growing threat to populations around the world as overuse of these critical drugs fosters the evolution of superbugs that no longer respond to treatments.  Multi-drug resistant organisms can wreak havoc in the hospital setting, and claim thousands of lives every year. Electronic health record data can help to identify infection patterns and highlight patients at risk before they begin to show symptoms.  Leveraging machine learning and AI tools to drive these analytics can enhance their accuracy and create faster, more accurate alerts for healthcare providers.

• Smart devices are taking over the consumer environment, offering everything from real-time video from the inside of a refrigerator to cars that can detect when the driver is distracted. In the medical environment, smart devices are critical for monitoring patients in the ICU and elsewhere.  Using artificial intelligence to enhance the ability to identify deterioration, suggest that sepsis is taking hold, or sense the development of complications can significantly improve outcomes and may reduce costs related to hospital-acquired condition penalties. Inserting intelligent algorithms into these devices can reduce cognitive burdens for physicians while ensuring that patients receive care in as timely a manner as possible.

• Immunotherapy is one of the most promising avenues for treating cancer.  By using the body’s own immune system to attack malignancies, patients may be able to beat stubborn tumors.  However, only a small number of patients respond to current immunotherapy options, and oncologists still do not have a precise and reliable method for identifying which patients will benefit from this option. Machine learning algorithms and their ability to synthesize highly complex data sets may be able to illuminate new options for targeting therapies to an individual’s unique genetic makeup.

Smart Wearable Devices for Health Monitoring.

• Almost all consumers now have access to devices with sensors that can collect valuable data about their health.  From smartphones with step trackers to wearables that can track a heartbeat around the clock, a growing proportion of health-related data is generated on the go. Collecting and analyzing this data and supplementing it with patient-provided information through apps and other home monitoring devices can offer a unique perspective into individual and population health. Artificial intelligence will play a significant role in extracting actionable insights from this large and varied treasure trove of data.  

• Continuing the theme of harnessing the power of portable devices, experts believe that images taken from smartphones and other consumer-grade sources will be an important supplement to clinical quality imaging  especially in under served populations or developing nations. The quality of cell phone cameras is increasing every year, and can produce images that are viable for analysis by artificial intelligence algorithms.  Dermatology and ophthalmology are early beneficiaries of this trend. Using smartphones to collect images of eyes, skin lesions, wounds, infections, medications, or other subjects may be able to help under served areas cope with a shortage of specialists while reducing the time-to-diagnosis for certain complaints.

• As the healthcare industry shifts away from fee-for-service, so too is it moving further and further from reactive care.  Getting ahead of chronic diseases, costly acute events, and sudden deterioration is the goal of every provider and reimbursement structures are finally allowing them to develop the processes that will enable proactive, predictive interventions. Artificial intelligence will provide much of the bedrock for that evolution by powering predictive analytics and clinical decision support tools that clue providers in to problems long before they might otherwise recognize the need to act.

• AI can provide earlier warnings for conditions like seizures or sepsis, which often require intensive analysis of highly complex data sets. Leveraging AI for clinical decision support, risk scoring, and early alerting is one of the most promising areas of development for this revolutionary approach to data analysis.  By powering a new generation of tools and systems that make clinicians more aware of nuances, more efficient when delivering care, and more likely to get ahead of developing problems, AI will usher in a new era of clinical quality and exciting breakthroughs in patient care.

...... Click Here To Read Part 02 ......

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Mysteries of the Unseen World (2013) - Documentary.

Note:- 👇 This documentary was collected from https://yts.am

Synopsis:
MYSTERIES OF THE UNSEEN WORLD transports audiences to places on this planet that they have never been before, to see things that are beyond their normal vision, yet literally right in front of their eyes. Mysteries of the Unseen World reveals phenomena that can't be seen with the naked eye, taking audiences into earthly worlds secreted away in different dimensions of time and scale.......

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Google & the World Brain (2013) - Documentary

Note:- 👇 The below documentary was collected from https://yts.am

Synopsis:
The story of the most ambitious project ever conceived on the Internet, and the people who tried to stop it. In 1937 HG Wells predicted the creation of the "World Brain", a giant global library that contained all human knowledge which would lead to a new form of higher intelligence. Seventy year later the realization of that dream was underway, as Google scanned millions and millions of books for its Google Books website. But over half those books were still in copyright, and authors across the world launched a campaign to stop them, climaxing in a New York courtroom in 2011. A film about the dreams, dilemmas and dangers of the Internet, set in spectacular locations in China, USA, Europe and Latin America.......

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Lo & Behold, Reveries of the Connected World (2016) - Doumentary

Note:- 👇 The below documentary was collected from https://yts.am

Synopsis:
Filmmaker Werner Herzog examines the past, present and future of the Internet and how it affects human interaction and modern society......

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Similar BME Project Topics

1. Determining Wellness through an Ambient Assisted Living Environment
2. Intrabody Communication 
3. A Level-Crossing Based QRS-Detection Algorithm for Wearable ECG Sensors
4. ECG Biometric with Abnormal Cardiac Conditions in Remote Monitoring System
5. WE-CARE: An Intelligent Mobile Telecardiology System to Enable mHealth Applications 
6. Zigbee and GSM based patient health monitoring system 
7. Low-cost MCU solution for measuring HRV using SpO2 sensor
8. Development of cost effective ECG data acquisition system for clinical applications using LabVIEW
9. Wireless transmission of alarm signals from baby incubators to neonatal nursing station 
10. Motor rehabilitation based on brain machine interface and Microsoft Kinect
11. A Brain–Computer Interface-Based Vehicle Destination Selection System Using P300 and SSVEP Signals
12. Sound transmission through the human body with digital weaver modulation (DWM) method 
13. Prototype early warning system for heart disease detection using Android application 
14. Control of robotic hand simulator via human hand motion analysis based on EMG 
15. Smart wireless healthcare monitoring for drivers community 
16. Development of wireless EMG control system for rehabilitation devices 
17. Bluetooth Low Energy (BLE) based blood pressure monitoring system 
18. Design and implementation of heart rate measurement device using wireless system 
19. An Assistive Navigation System Based on Augmented Reality and Context Awareness for People With Mild Cognitive Impairments 
20. A novel pulseoximeter for bluetooth synchronized measurements in a body sensor network 
21. An Instrumented Insole for Long Term Monitoring Movement, Comfort, and Ergonomics
22. Remote patient monitoring system for rural population using ultra low power embedded system 
23. Speed control of the Implantable Centrifugal Blood Pump to avoid aortic valve stenosis: Simulation and implementation 
24. Intelligent Closed-Loop Insulin Delivery Systems for ICU Patients
25. Indoor hospital communication systems: An integrated solution based on power line and visible light communication
26. Implementation of a real-time ECG signal processor 
27. A Configurable and Low-Power Mixed Signal SoC for Portable ECG Monitoring Applications 28 IGBM28 EMG-based continuous control method for electric wheelchair 
28. Ultra-low power design of wearable cardiac monitoring systems 
29. Galvanic Coupling Transmission in Intrabody Communication: A Finite Element Approach
30. Diagnostic Device for Acute Cardiac Disease Using ECG and Accelerometer 
31. An enhanced fall detection system for elderly person monitoring using consumer home networks
32. LABVIEW based expert system for detection of heart abnormalities 
33. Micro-electrode arrays for multi-channel motor unit EMG recording
34. EEG-based brain connectivity analysis of states of unawareness 
35. Investigation of Galvanic-Coupled Intrabody Communication Using the Human Body Circuit Model 
36. Implementing Intelligent Traffic Control System for Congestion Control, Ambulance Clearance, and Stolen Vehicle Detection 
37. Design of vital sign monitor based on wireless sensor networks and telemedicine technology 39 IGBM39 Medical Data Compression and Transmission in Wireless Ad Hoc Networks 
38. Toward developing a smart wheelchair for user physiological stress and physical activity monitoring
39. An open and configurable embedded system for EMG pattern recognition implementation
40. Design and Implementation of Portable ECG and Body Temperature Monitor 
41. Wireless body area networks: Status and opportunities 
42. Evaluation of the NeuroSkyMindFlex EEG headset brain waves data 
43. Real time monitoring of vital signs using wireless technique 
44. Acquisition and processing real-time EMG signals for prosthesis active hand movements
45. Human body: The future communication channel for WBAN 
46. A multi-to-one short-range wireless communication system for the smart ICU physiology telemetry system 
47. Brain Computer Interface-Based Smart Living Environmental Auto-Adjustment Control System in UPnP Home Networking 
48. A low-power, wireless, wrist-worn device for long time heart rate monitoring and fall detection 
49. Implementation of Mind Control Robot 
50. Personal Lung Function Monitoring Devices for Asthma Patients

A System for the Epilepsy Patients Using RF Communication

Abstract:

The aim of this project is to design the system for the epilepsy patients using RF communication. The wireless electronic diagnosing system designed here is exclusively meant for epilepsy patients. The system helps them in accurately predicting the occurrence of seizures

Description:

Epilepsy is a very fatal condition which is caused as a result of imbalance in the nervous system. The very common symptoms of epilepsy includes sudden fluctuations in Heart Beat rate and involuntary muscular movements (seizures). The aura (practical symptom) of epilepsy includes fluctuations in heartbeat, nausea, dizziness etc.

Sudden occurrence of seizures during driving may lead to accidents and its occurrence during sleeping hours can even lead to the patient's death, if no immediate, proper attention is provided by a bystander or a doctor. With the aid of this system, the patient can lead a normal life.

The electronic system presented here is a wearable device which predicts the occurrence of epilepsy in a few minutes advance. The device utilizes the signals from human body to detect the occurrence of epilepsy.

As soon as the device detects the symptoms, it transmits a coded signal. The signal is decoded by a wireless receiver to produce control signals for switching an alarm device, mobile messaging device and an automatic vehicle control system.

Technology:

Micro-electromechanical systems (MEMS) are free scale's enabling technology for acceleration and pressure sensors. MEMS based sensor products provide an interface that can sense, process or control the surrounding environment.

MEMS-based sensors are a class of devices that builds very small electrical and mechanical components on a single chip. MEMS-based sensors are a crucial component in automotive electronics, medical equipment, hard disk drives, computer peripherals, wireless devices and smart portable electronics such as cell phones and PDAs.

MEMS technology provides the following advantages - cost-efficiency, low power, miniaturization, high performance, and integration. Functionality can be integrated on the same silicon or in the same package, which reduces the component count. This contributes to overall cost savings .

Hence the benefit of the project is that a lightweight, rugged, low cost, which helps a victim of epilepsy patients

Biomedical Sleep Inducer

Abstract:

Sleeping difficulty, called insomnia, can involve difficulty falling asleep when you first go to bed at night, waking up too early in the morning, and waking up often during the night. The lack of restful sleep can affect your ability to carry out daily responsibilities because you are too tired or have trouble concentrating. All types of insomnia can lead to daytime drowsiness, poor concentration, and the inability to feel refreshed and rested in the morning. Magnetic field associated with the Earth is called Geo-magnetic fields. It is essentially dipolar (i.e., it has two poles, the northern and southern magnetic poles) on the Earth's surface. Away from the surface, the field becomes distorted. Many people experience sleeping well in natural surroundings, into a tent or a wooden hut. This fact is due not only to the healthy atmosphere but also from our unconscious ability to perceive natural Earth’s magnetic fields. Our mini project generates this type of Geo-magnetic-fields and our aim is to perceive them: in this manner our brain is surrounded by an ideal environment for a sound sleep.

Features of Sleep Inducer:

• Generates a natural electromagnetic-field
• Makes easier to fall asleep
• Induces a prolonged and sound sleep without drugs
• No side effects

Highlights of the Project:
This project helps in fighting insomnia. Apart from this it also supports relaxation, stress management and induces sleep easily. This project generates type of geo-magnetic-fields and it helps the brain surrounded by an ideal environment for a sound sleep.

Low Cost Solar ECG with Bluetooth Transmitter

Abstract:

Cardiovascular disease is the world's leading killer, accounting for 16.7 million or 29.2 per cent of total global deaths every year. The World Health Organization estimates that 60 percent of the world's cardiac patients will be Indian by 2010. The reported prevalence of coronary heart disease (CHD) in adult surveys has risen 4-fold over the last 40 years and even in rural areas the prevalence has doubled over the past 30 years.

The Electrocardiograph (ECG) is a diagnostic instrument which measures the electrical activity of the heart, providing valuable information of cardiac disorders like infarction, Atherosclerosis, etc. ECG instruments used in hospitals are bulky, work on line voltage which makes the ECG waveform distorted and an isolation amplifier is needed for patient's safety making it expensive thus cannot be used in underdeveloped areas. We have developed an inexpensive portable solar powered ECG.

63% of all rural households in India do not have electricity and use fuel for lighting. Thus, being solar powered will eliminate its dependence on electricity and can easily be used in areas either with no electricity or with lots of load shedding. The electro-cardiogram will be free from the line frequency noise. Advantage of this equipment is the backup option of charging the batteries using a simple mobile charger. The device is capable of acquiring up to 34 hours of continuous electrocardiogram data at a sample rate of 500 Hz. The ECG is also transmitted to the patient's cell phone or a computer with the help of a Bluetooth transmitter

Simple Heart Beat Classifier Based on ECG

Abstract:

In this paper, we studied and validated a simple heart beat classifier based on ECG feature models selected with the focus on an improved generalization capability. We considered features from the RR series, as well as features computed from the ECG samples and different scales of the wavelet transform, at both available leads.

The classification performance and generalization were studied using publicly available databases: the MIT-BIH Arrhythmia, the MIT-BIH Supraventricular Arrhythmia, and the St. Petersburg Institute of Cardiological Technics (INCART) databases. The Association for the Advancement of Medical Instrumentation recommendations for class labeling and results presentation were followed.

A floating feature selection algorithm was used to obtain the best performing and generalizing models in the training and validation sets for different search configurations. The best model found comprehends eight features, was trained in a partition of the MIT-BIH Arrhythmia, and was evaluated in a completely disjoint partition of the same database.

The results obtained were: global accuracy of 93%; for normal beats, sensitivity (S) 95%, positive predictive value (P+) 98%; for supraventricular beats, S 11%, P+ 39%; and for ventricular beats S 81%, P+ 87%. In order to test the generalization capability, performance was also evaluated in the INCART, with results comparable to those obtained in the test set.

This classifier model has fewer features and performs better than other state-of-the-art methods with results suggesting better generalization capability.

An Infant Monitoring System Using CO2 Sensors

Abstract:

In this paper, an infant monitoring system was proposed to reduce the potential risks for sudden infant death syndrome (SIDS). This system can be used for infants at home or in a hospital nursery room. The system consists of carbon dioxide (CO2) sensors and active radio frequency identification (RFID) technology. A commercial metal-oxide based CO2 sensor was chosen and characterized in sensitivity, selectivity and humidity dependence. A proof-of-concept system, to be used for two infants in the same room, was designed and assembled. The RFID transmission was accomplished with a wireless module at two different operating frequencies. The results are promising. A method for further practical applications in a large nursery room is also discussed .

Infant Incubator Parameter Sensing And Monitoring Through Wireless:

A system was designed which comprises of essential hardware and software for monitoring the parameters through wireless Communication.

To control the temperature of the air adjacent an infant in an incubator.is to circulate the air within an incubator with a blower driven by a motor and to vary the blower speed based on the temperature of the air within the incubator.

Thermistors for sensing air temperature and motor controllers are known and have been used to control the temperature of the air adjacent an infant in an incubator and to reduce the blower speed and thereby the associated noise in the enclosure.

It is also necessary to monitor the CO2 Level in the incubator frequently, so that if the CO2 Level increases, In such a case, a oxygen valve is also actuated , for the infant to breathe properly.

We have to attach transducers to infants in an incubator to directly measure the infants temperature, respiration rate, pulse, and other physiological parameters and sent to a remote computer through wireless for processing the data.

Sensors Involved in Measurement:

1. Co2 Sensor

2. Thermistor

3. Heart Beat Sensor

Electrocardiogram-Assisted Blood Pressure Estimation

Abstract:

Accurate automatic noninvasive assessment of blood pressure (BP) presents a challenge due to conditions like arrhythmias, obesity, and postural changes that tend to obfuscate arterial amplitude pulsations sensed by the cuff. Researchers tried to overcome this challenge by analyzing oscillometric pulses with the aid of a higher fidelity signal-the electrocardiogram (ECG). Moreover, pulse transit time (PTT) was employed to provide an additional method for BP estimation. However, these methods were not fully developed, suitably integrated, or tested.

To address these issues, we present a novel method whereby ECG-assisted oscillometric and PTT (measured between ECG R-peaks and maximum slope of arterial pulse peaks) analyses are seamlessly integrated into the oscillometric BP measurement paradigm. The method bolsters oscillometric analysis (amplitude modulation) with more reliable ECG R-peaks provides a complementary measure with PTT analysis (temporal modulation) and fuses this information for robust BP estimation. We have integrated this technology into a prototype that comprises a BP cuff with an embedded conductive fabric ECG electrode, associated hardware, and algorithms.

A pilot study has been undertaken on ten healthy subjects (150 recordings) to validate the performance of our prototype against United States Food and Drug Administration approved Omron oscillometric monitor (HEM-790IT). Our prototype achieves mean absolute difference of less than 5 mmHg and grade A as per the British Hypertension Society protocol for estimating BP, with the reference Omron monitor.

Zigbee Based Patient Analysing System with WAP

Abstract:

This project is used to scan the complete parameters of a person in an ICU ward through Zigbee Technology. The name "ZigBee" is derived from the erratic zigging patterns many bees make between flowers when collecting pollen. This is evocative of the invisible webs of connections existing in a fully wireless environment. ZigBee is the name of a specification for a suite of high level communication protocols using small, low-power digital radios based on the IEEE 802.15.4 standard for wireless personal area networks (WPANs), such as wireless headphones connecting with cell phones via short-range radio. The technology is intended to be simpler and cheaper than other WPANs, such as Bluetooth. ZigBee is targeted at radio-frequency (RF) applications which require a low data rate, long battery life, and secure networking.

Project Description:

This project is a working model which incorporates sensors to measure all these parameters like Body temperature, Respiratory Temp, Saline Status, ECG and Heart Beat rate and transfer it to the computer, so that the patient condition can be analyzed to by doctors in any part of the hospital wherever they are. Thus it reduces doctors work load and also gives more accurate results, wherever there is an abnormality felt by the patient, we have also incorporated saline monitoring system which gives an alarm when the saline bottle about to empty.

More over K-Sheet Automation is automatically done, since all the parameters are completely monitored through a computer, it can be stored on a database for periodic intervals with respect to the current date and time.

A new system called medicine reminder system is also incorporated in this project. An alarm will be energized, Whenever a particular patient should be given medicines. This can be done for multiple patients also by assigning the intervals for the patient to a database.

An Emergency patient calling switch is also included here.

Whenever the patients finds emergency he needs to press the button on his side, so that the particular patients room number and will be indicated to the doctors room.

There is an Anesthesia injection Module Which is interfaced with the System, can be commanded by the controller to extract the exact amount of anesthetic fluid to the syringe.

Modules:

• Sensors and Transducers
• Signal Conditioning Board
• PIC Micro-controller Interface Board
• Power Supply
• Relay, alarm and its Driver Circuits
• Anesthesia Injection Module

Advantages of Zigbee Based Patient Analysing System with WAP:

1. 8 independent analog channels available. (For future Enhancements)
2. All the Parameters can be viewed on the Mobile phone
3. Annunciation’s systems are included for all this analog inputs 
4. Heart Beat Rate of the Patient
5. Saline status is displayed in the monitor.
6. On-line graphics for selectable parameters.
7. On-line recording of all process parameters in the interval selectable by the user, which is most useful for future analysis and failure detection

Vitamania: The Sense and Nonsense of Vitamins (2018) - Documentary

Note:- 👇 This documentary was collected from https://yts.am

Synopsis:

Almost one billion of us take a regular dietary supplement, mainly vitamin tablets. Vitamins are enthusiastically endorsed by celebrities, and vitamin-fortified foods line our supermarket shelves. But how safe are these products? Is it true that vitamins are "natural" and therefore can't do you any harm? How are they regulated, and how can parents make the right choices for their children's health. These surprisingly urgent questions are investigated by scientist Dr Derek Muller in Vitamania, the latest documentary made by Emmy Award-winning Australian filmmakers, Genepool Productions.....

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Portable Cellphone Microscope

Abstract:

When people get sick, they generally go to their doctor, get a prescription for what ails them, and feel better if they follow the medications properly. If the root cause for the disease is a pathogenic microorganism the doctor definitely need a lab report for further treatments. E.g.: Viral Fever, Typhoid, Dengue Fever, Bacterial Diseases and several other types of diseases caused by microorganisms. 

In the medical lab there are so many different types of microscopes available for diagnostic purposes. From light microscopes to well sophisticated electron microscopes are the devices using for studying microorganisms to find out a proper solution for the diseases which they cause to mankind.

Students who are interested in studying the micro structural forms of living and non-living things are having chances only at their lab. The limited amount of time and sources sometimes don’t allow the keen students to study and practice more.

Even in higher educational levels, studying the tiny particles which cannot be seen by bare eyes are only limited to the lab sessions.

In the other hand mobile phone technology is well reached from top to bottom corners of the world. It is rare to find someone who is without a cell phone. The reason why everyone has cell phone is for communication from wherever they are and everyone can afford to buy a cell phone according to their budget. It is not a compulsory requirement whether the cell phone owner is well educated enough to handle it.

Therefore build up a portable microscope by using the cell phone is the right way to satisfy these types of people’s need is the proper solution for this problem……

For further Project Details,

Please Contact:

C. S. Gaston Ravin Dias

Email:- sam.gastondiaz@gmail.com

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Fall Detection System

Abstract:

Falling is a common phenomenon and the most significant cause of injury for elderly people. This study investigates the methodology to identify falls from normal Activities of Daily Living (ADLs) and how assistance can be given soon afterwards, to prevent elders from fatal conditions. 

Here, a Wireless Sensor System (WSS), based on accelerometer and gyroscope, is attached with their chest like a sticker which contains of this WSS to collect real-time fall data.

Experiment protocols starts at standing position as its initial position and consisting of two types of falls such as forward fall and backward fall whenever these types of falls take place the Elder’s Kit which is attached to the individual, sends signals to the Monitoring Department and then the medical assistance will be provided to that particular patient as soon as possible. 

Executive Summary:

This project simply targets, those who need special care relevant to their movements, such people are elders and patients who must be stayed in bed. Therefore their movements should be monitored for their own health safety without their concern because they have their own freedom to move.

So, this fall detection system which is a prototype and which can be applicable in a care taking places such as elders’ home and even in hospital wards, is needed to monitor their orientations which has some facilities to measure their acceleration as well as their gyration for a better posture detection. If suppose a fall happens this system should alert the care takers for immediate medical assistance. 

Even though there are advanced Fall Detectors are available, understanding the basic functions of this system is so important. Hence such a prototype is discussed in this project.

For further Project Details,

Please Contact:

C. S. Gaston Ravin Dias

Email:- sam.gastondiaz@gmail.com

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OGAWA MASTER DRIVE Massage Chair - Bioinstrumentation Project

Abstract

Massage chairs with internal electric motors and gears have been in existence since mid-1950s. They were invented to mimic motions involved in a conventional massage applied by a human masseuse. One such company known in Malaysia is OGAWA. OGAWA prides itself in its mission to build a portfolio of wellness products, services and solutions. The latest model in their arsenal is the Master Drive 4D Thermocare that aims to apply human-like full body massages through accurate massages that are claimed to precisely target the acupunctural points.....

Introduction.

Massage works on the assumed principle of constant external motion along, against, or circular onto an area, aiming to improve its vascular supply to prevent and remove the accumulation of excessive deposits of lactic acid. This excess is presumed to be due to constant contraction causing exaggerated anaerobic respiration. Muscle spasms are thought to be the symptomatic manifestation of this local lactic acidosis. There has been few studies on the efficacy of massage on releasing spasms and muscle tension however results and patient satisfaction were variable....

Electromyography (EMG) functions to measure electrical activity of the muscles in response to a nerve stimulation onto a muscle group. Electrodes are attached either intramuscularly or onto the surface of the muscle of interest and connected to an oscilloscope where the electricity picked up by the sensor would be displayed. The muscle tissue at rest does not usually produce electrical signals. 

The Trapezius Muscle is our choice of muscle to be studied in this report due to its accesibility and location (close to the surface of the body) and relation to neck pain in psychosomatic stress. It is also noted to be one of the acupunctural points in complementary medicine. 

It is hypothetized in this study that the baseline EMG reading would be higher, reflecting slight contraction in response to trapezius muscle tension prior to being.........

For further Project Details,

Please Contact:

C. S. Gaston Ravin Dias

Email:- sam.gastondiaz@gmail.com

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