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Fog computing is a recently proposed computing paradigm that extends Cloud computing and services to the edge of the network. The new features offered by fog computing (e.g., distributed analytics and edge intelligence), if successfully applied for time-sensitive healthcare applications, has great potential to accelerate the discovery of early notification of emergency situations to support smart...
In previous decades, there has been a significant paradigm shift in the domain of computer architecture and processing mechanisms of large-scale data due to the increase of computational power caused by an overwhelming flow of massive amount of data. Hadoop and MapReduce are very powerful concepts which enable the efficient development of scalable and parallel applications required for processing...
Body Area Networks (BANs) are considered as the key building blocks for the emerging application of upcoming generation of networks that would be extended towards the wearable technology as well as the Internet of Things. Starting from the traditional network scenarios to today's advanced network infrastructure, BANs have played a very significant role in developing the computer network industry and...
In recent years, more and more biological sensors are being connected wirelessly. This makes them much more versatile and allows a greater degree of mobility to the wearer. However, there are downsides to the move to wireless. In wireless body area sensor network (WBASNs), power consumption and storage limitations are major obstacles that need to be addressed. Increasing capacity often means increasing...
Wireless Body area Sensor Network (WBSN) is a recent concept that can dramatically benefit healthcare applications through advances in wireless technology. Physiological and biokinetic parameters that require continuous monitoring are sensed by small and lightweight body sensors that transmit the values of these parameters over wireless links for monitoring at the other end. The sensors employed in...
Wireless technologies employing small sensors are particularly useful since they allow monitoring of kinetic and physiological data without affecting any individual in motion. The primary objective of this collaborative research between the Department of Electrical Engineering and Computing Sciences and the Department of Athletes at the University of Cincinnati is to build a wireless system using...
Neurodegenerative diseases in our ageing population in recent time have been a deep concern for the medical practitioners. Neurodegeneration is the cause of progressive loss of structure or function of neurons, including neural death. Many neurodegenerative diseases including Parkinson's, Alzheimer's, and Huntington's occur as a result of neurodegenerative processes. Human gait impairment is one of...
Current research suggests that firefighters are under high risks of cardiac attacks due to heat stress and high physiological exertion. Thus, it is very important to track the location of firefighters in a real fire scenario, so as to alert the fire crew chief during a medical emergency. In this paper, we use Wireless Body Area Sensor Networks (WBASN) to gather various physiological data from monitoring...
Remote monitoring of patients with movement disorders is currently being researched extensively with the help of Wireless Body Area Sensor Network (WBASN). e-Healthcare is one such popular WBASN application. We focus our research addressing an important issue of wireless monitoring of patients suffering from Parkinson's Disease (PD) for fall detection in order to avoid potential injuries. We also...
e-Healthcare is a popular healthcare application of Wireless Body Area Sensor Network (WBASN). Today home monitoring of patients with movement disorders, monitoring of elderly for early fall detection are very popular applications. Our research focuses on one such important application of continuous, non-invasive, and wireless monitoring of the patients with Parkinson's disease, for preventing potential...
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