Priyanka Bagade

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Privacy of physiological data collected by a network of embedded sensors on human body is an important issue to be considered. Physiological signal-based security is a light weight solution which eliminates the need for security key storage and complex exponentiation computation in sensors. An important concern is whether such security measures are(More)
Implementing requirements verified body worn medical sensors and smart phones, acting as base stations, in Body Sensor Networks (BSNs), is of extreme importance for development of reliable pervasive health monitoring systems (PHMS). Models of BSNs have been used to analyze designs with respect to requirements such as energy consumption, lifetime, and(More)
Well-being and fitness are major focuses pushing the need for a simple and effective method to monitor health. Researchers have pointed out safety, lifetime, and reliability as the key requirements of medical devices. Mismatch between requirements of wearable medical sensor and smart phone and their implementation is one of the major causes of failure. We(More)
We demonstrate bHealthy, a physiological feedback-based mobile wellness application suite. bHealthy, monitors physiological signals using electrocardiogram, electroencephalogram, and accelerometer sensors; uses a suite of assessment applications to detect mental state of the user; suggests apps to enhance wellbeing; and tracks the performance of the user in(More)
Sensors aesthetically embedded in accessories such as jewelry, piercings or contact lenses are being proposed recently. These symbiotic wearable wireless sensors are envisioned to operate on scarce harvested energy resources from the human body. In addition to the hardware and software constraints arising from the form-factor and low energy operations,(More)
Interactions between the medical devices and the human body in Medical Cyber Physical Systems (MCPSes) are considered for verifying patient’s safety. The discrete and continuous dynamics of an MCPS require a hybrid approach towards modeling and analysis. In this regard, hybrid automata is used to model analgesic infusion pumps, an exemplary MCPS(More)
Early detection and diagnosis of potentially fatal physiological conditions such as heart attacks, require continuous monitoring of patient health following transfer from hospital to home. In response to this need, wireless home-based health monitoring systems (WHMS) are being proposed as a low-cost solution. A WHMS (Figure 1) consists of physiological(More)
Data sharing between mobile apps that are co-located in a smartphone may lead to synergistic benefits to the user especially in the health-care domain. Mobile apps that monitor and control user behavior can interact to engage the user into a healthy schedule over a long term. In the current app development paradigm, apps are being developed individually and(More)
Mobile medical apps (MMAs) work in close loop with human physiology through sensing and control. As such it is essential for them to achieve intended functionality, without having harmful effects on human physiology, affecting the availability of the service and compromising the privacy of health data. However for a mobile app manufacturer, generating(More)
Widespread adoption of smartphone based Mobile Medical Apps (MMAs) is opening new avenues for innovation, bringing MMAs to the forefront of low cost healthcare delivery. These apps often control human physiology and work on sensitive data. Thus it is necessary to have evidences of their trustworthiness i.e. maintaining privacy of health data, long term(More)
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