RASPRO: Rapid Summarization for Effective Prognosis in Wireless Remote Health Monitoring

Rahul Krishnan Pathinarupothi1, Ekanath Rangan1, Bithin Alangot2, Maneesha Vinodini Ramesh2

  • 1Amrita Vishwa Vidyapeetham
  • 2Amrita Vishwa Vidyapeetham University
Also at:
15:30 - 16:30 | Wednesday 26 October 2016 | Main Auditorium

Details

Category

Contributed Papers (Poster)

Sessions

08:30 - 19:30 | Wed 26 Oct | Auditorium Foyer | WePOS

Poster Session

15:30 - 16:30 | Wed 26 Oct | Main Auditorium | IS-1

Ignite Session 1

Abstract

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 multi-disciplinary 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.

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