Android Application to Detect and Alert Tachycardia and Bradycardia using Pulse Rate Sensor

Heart rate monitoring is most vital in preventing disorders related to heart. Failure to detect heart disorder in early stage may lead to death. The lacking of devices to immediately detect the abnormalities in heart and alert the patients emergency contact lead to this problem. In this report the author propose a system to detect two heart disorders called Tachycardia and Bradycardia which are caused by abnormalities in heart rate. The proposed system will consist of a pulse sensor which will be connected to a smartphone via Bluetooth. The signal information which is processed by the microcontroller will be sent to the mobile phone. An app created will send an alert to the emergency contacts of the patients when Tachycardia or Bradycardia condition has been detected by the sensor. This will increase the possibilities of giving immediate treatment to the patient, and hope to reduce the death rate caused by heart disorder

Android Application to Detect and Alert Tachycardia and Bradycardia using Pulse Rate Sensor

Heart rate monitoring is most vital in preventing disorders related to heart. Failure to detect heart disorder in early stage may lead to death. The lacking of devices to immediately detect the abnormalities in heart and alert the patients emergency contact lead to this problem. In this report the author propose a system to detect two heart disorders called Tachycardia and Bradycardia which are caused by abnormalities in heart rate. The proposed system will consist of a pulse sensor which will be connected to a smartphone via Bluetooth. The signal information which is processed by the microcontroller will be sent to the mobile phone. An app created will send an alert to the emergency contacts of the patients when Tachycardia or Bradycardia condition has been detected by the sensor. This will increase the possibilities of giving immediate treatment to the patient, and hope to reduce the death rate caused by heart disorder

Equivalence testing for identity authentication using pulse waves from photoplethysmograph

Doctor of PhilosophyDepartment of StatisticsSuzanne DubnickaChristopher VahlPhotoplethysmograph sensors use a light-based technology to sense the rate of blood flow as controlled by the heart’s pumping action. This allows for a graphical display of a patient’s pulse wave form and the description of its key features. A person’s pulse wave has been proposed as a tool in a wide variety of applications. For example, it could be used to diagnose the cause of coldness felt in the extremities or to measure stress levels while performing certain tasks. It could also be applied to quantify the risk of heart disease in the general population. In the present work, we explore its use for identity authentication. First, we visualize the pulse waves from individual patients using functional boxplots which assess the overall behavior and identify unusual observations. Functional boxplots are also shown to be helpful in preprocessing the data by shifting individual pulse waves to a proper starting point. We then employ functional analysis of variance (FANOVA) and permutation tests to demonstrate that the identities of a group of subjects could be differentiated and compared by their pulse wave forms. One of the primary tasks of the project is to confirm the identity of a person, i.e., we must decide if a given person is whom they claim to be. We used an equivalence test to determine whether the pulse wave of the person under verification and the actual person were close enough to be considered equivalent. A nonparametric bootstrap functional equivalence test was applied to evaluate equivalence by constructing point-wise confidence intervals for the metric of identity assurance. We also proposed new testing procedures, including the way of building the equivalence hypothesis and test statistics, determination of evaluation range and equivalence bands, to authenticate the identity

Aerospace medicine and biology - a continuing bibliography

Aerospace medicine and biology - bibliograph

Aerospace Medicine and Biology. an Annotated Bibliography. 1958-1961 Literature, Volumes VII-X, Part 2

Abstracts on aerospace medicine and biology - bibliography on environmental factors, safety and survival, personnel, pharmacology, toxicology, and life support system

Intelligent Biosignal Processing in Wearable and Implantable Sensors

This reprint provides a collection of papers illustrating the state-of-the-art of smart processing of data coming from wearable, implantable or portable sensors. Each paper presents the design, databases used, methodological background, obtained results, and their interpretation for biomedical applications. Revealing examples are brain–machine interfaces for medical rehabilitation, the evaluation of sympathetic nerve activity, a novel automated diagnostic tool based on ECG data to diagnose COVID-19, machine learning-based hypertension risk assessment by means of photoplethysmography and electrocardiography signals, Parkinsonian gait assessment using machine learning tools, thorough analysis of compressive sensing of ECG signals, development of a nanotechnology application for decoding vagus-nerve activity, detection of liver dysfunction using a wearable electronic nose system, prosthetic hand control using surface electromyography, epileptic seizure detection using a CNN, and premature ventricular contraction detection using deep metric learning. Thus, this reprint presents significant clinical applications as well as valuable new research issues, providing current illustrations of this new field of research by addressing the promises, challenges, and hurdles associated with the synergy of biosignal processing and AI through 16 different pertinent studies. Covering a wide range of research and application areas, this book is an excellent resource for researchers, physicians, academics, and PhD or master students working on (bio)signal and image processing, AI, biomaterials, biomechanics, and biotechnology with applications in medicine

Advances in Human-Robot Interaction

Rapid advances in the field of robotics have made it possible to use robots not just in industrial automation but also in entertainment, rehabilitation, and home service. Since robots will likely affect many aspects of human existence, fundamental questions of human-robot interaction must be formulated and, if at all possible, resolved. Some of these questions are addressed in this collection of papers by leading HRI researchers

Aerospace Medicine and Biology - A cumulative index to a continuing bibliography

Cumulative index for abstracts of NASA documents on aerospace medicine and biolog

Recent Developments in Smart Healthcare

Medicine is undergoing a sector-wide transformation thanks to the advances in computing and networking technologies. Healthcare is changing from reactive and hospital-centered to preventive and personalized, from disease focused to well-being centered. In essence, the healthcare systems, as well as fundamental medicine research, are becoming smarter. We anticipate significant improvements in areas ranging from molecular genomics and proteomics to decision support for healthcare professionals through big data analytics, to support behavior changes through technology-enabled self-management, and social and motivational support. Furthermore, with smart technologies, healthcare delivery could also be made more efficient, higher quality, and lower cost. In this special issue, we received a total 45 submissions and accepted 19 outstanding papers that roughly span across several interesting topics on smart healthcare, including public health, health information technology (Health IT), and smart medicine

Aerospace Medicine and Biology - A continuing bibliography, with indexes, January 1966

Aerospace medicine and biology - continuing bibliography with abstract