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Consistent cost effective health monitoring has become the need of the hour especially for the unstable, chronically and critically ill. Here we present a novel architecture and algorithmic methodology combining the sensing subsystem and the analytics engines. Physiological parameters from multiple sensors feed into a severity quantizer and a subsequent multiplexer, the output of which is processed...
Automated sleep apnea detection and severity identification has largely focused on multivariate sensor data in the past two decades. Clinically too, sleep apnea is identified using a combination of markers including blood oxygen saturation, respiration rate etc. More recently, scientists have begun to investigate the use of instantaneous heart rates for detection and severity measurement of sleep...
Obstructive Sleep Apnea (OSA) is a common sleeping disorder in which persons temporarily stop breathing during their sleep. Untreated OSA may lead to several cardio vascular diseases, diabetes, stroke etc. Currently, overnight Polysomnography (PSG) is the widely used technique to detect sleep apnoea. However, a human expert has to monitor the patient overnight. In this paper, we use the technique...
There is a worldwide trend of increase in cardiac related deaths. One of the major reasons is the condition of cardiac ischemia, which implies inadequacy of blood supply to heart leading to myocardial infarction. One of the main techniques used for detection of ischemia is 12-lead ECG test. However, on most occasions the patient may not be attached to any such devices so as to provide immediate medical...
Remote health monitoring and intervention systems including wearable sensors, smartphones and advanced communication technologies are slated to be a game changer in the delivery of quality healthcare services, especially in developing parts of the world. However, we are yet to see large scale adoption of remote health monitoring systems due to many factors such as: lack of reliable data network coverage,...
In the relentless pursuit of human race to build a better world with technology, there lurk some blind spots in the developing world, and foremost among them is "sustainable access to energy". In this project, we develop and demonstrate a systematic methodology for institutional campuses to transform themselves into energy sustainable communities. The methodology starts with an investigation...
Remote health monitoring and delivery through mobile devices and wireless networks offers unique challenges related to performance, reliability, data size, power management, and analytical complexity. We present a multi-layered architecture that matches communication performance to medical importance of data being monitored. The priority of vital data and the context of sensing are used to select...
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