Venkata Lakshmi Narayana K

Bio: Venkata Lakshmi Narayana K is an academic researcher from VIT University. The author has contributed to research in topics: Sensor node & Wireless sensor network. The author has an hindex of 1, co-authored 1 publications receiving 1 citations.

Implementation issues of Body Area Sensor Networks for ubiquitous long-term biomedical signal monitoring and conditioning

Abstract: Ubiquitous and pervasive health monitoring in everyday life is the key for long-term unobtrusive monitoring of biomedical signals to enable early-stage diagnosis of health issues for proactive health care. Health care costs can be minimized by providing health services at a patient's home where the cost is the lowest as opposed to expensive clinical environments. Body Area Sensor Networks (BASNs) can be developed with reliability for effective measurement of basic biomedical signals. Signal conditioning component has to be designed in such a way to perform local on-node data processing to decrease the amount of data to be transmitted to the base station. A low-power BASN can be designed and optimized for ubiquitous biomedical signal monitoring through power and energy-aware wireless sensor nodes. The power management strategies have to be analyzed so that the power supply can gradually shift away from battery-powered solutions to completely energy-autonomous nodes that are powered by means of energy harvesting. This paper discusses the implementation issues of BASNs in view of ubiquitous long-term biomedical signal conditioning.

Realisation of ubiquity in body area networks for healthcare systems

Abstract: The world today is facing many health-related problems. Obesity-related health issues, often attributed to unhealthy lifestyle, represent one of the most serious global problems of the 21st century. Despite signi cant progress in the eld of medicine, the level of chronic diseases is still on the rise. These health issues are further exacerbated by a growing pressure on the healthcare system caused by a rapid growth of an aging population and a falling number of people of workforce age. Physical and mental health is of prime importance to every individual and to society as a whole. There is a growing interest in new ways to support and maintain an overstressed healthcare system, and there is an expectation for solutions that come from the areas of science and technology. One of the main ideas o ered is to move some of the traditional functions of clinicians, health centers and hospitals into the patient's home environment. The Internet of Things (IoT) and Big Data domains are rapidly evolving. From the initial concepts of connecting things to the Internet for monitoring, control and collecting data, the technology extends into Big Data analytics in a ubiquitous and pervasive computing environment. The number of healthcare applications is becoming a core part of the IoT world, with all its bene ts and challenges. This research focuses on IoT solutions related to personal health monitoring and healthaware mobile devices, seen as an integrated system. The application of ubiquitous communication for plug-and-play, IP protocols, for interoperable low-power sensor networks are investigated together with research into e ective resource management into Body Area Networks. The aim is to contribute to an area of health technology that can be available "everywhere, anytime and to anyone".