Publication Type:

Conference Paper


2016 IEEE Wireless Health (WH), IEEE (2016)



Accession Number:




Amrita HIS database, Biomedical monitoring, Cloud computing, data transmission, effective health monitoring, effective prognosis, energy performance, Health care, health criticality, hospital information system, Market research, Medical services, Monitoring, Multiplexer, Patient monitoring, Physiological parameters, RASPRO engine, sensing subsystem, Sensors, symptom summarization, telemedicine, telemedicine network, Time series analysis, wireless remote health monitoring, Wireless sensor networks


Consistent power and 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, symptom summarization, and data transmission. Physiological parameters from multiple sensors feed into a severity quantizer and a subsequent multiplexer, the output of which is processed by the RASPRO engine to rapidly discover and alert any health criticalities. The architecture is optimized for communication and energy performance, and the algorithms result in lucid presentations to physicians. The whole system is the result of close collaboration between engineering and medical teams at one of the best known multidisciplinary universities, building on a multi-terabyte more than a million patient Amrita Hospital Information System (HIS) database, and is being readied for deployment on a large telemedicine network of more than 60 nodes in the Indian subcontinent and parts of Africa.

Cite this Research Publication

Rahul K Pathinarupothi, Ekanath Srihari Rangan, Bithin Alangot, and Dr. Maneesha V. Ramesh, “RASPRO: rapid summarization for effective prognosis in wireless remote health monitoring”, in 2016 IEEE Wireless Health (WH), 2016.