Analysis of energy consumption for wearable ECG devices

Jung Yoon Kim, Chao Hsien Chu

Research output: Contribution to journalConference article

6 Scopus citations

Abstract

Wearable health monitoring systems (WHMS) have received much attention for the last decade due to increasing healthcare costs and the aging world population. Although advances in sensors, embedded systems, wireless communication and intelligent information technologies has brought us tiny wearable ECG devices and efficient algorithms to continuously monitor and analyze ECG signals, energy consumption is a critical concern for practical usage. In this study, we examine three possible models of data transmissions-transmitting all data in real time (type 1), transmitting all data in batch periodically (type 2), or only transmitting the detected events (type 3), in which the third model is our proposed method. A simulated environment and a generic energy consumption model are developed to examine the influence of different strategies and Ventricular Fibrillation (VF) detection methods on energy consumption.

Original languageEnglish (US)
Article number6985162
Pages (from-to)962-965
Number of pages4
JournalProceedings of IEEE Sensors
Volume2014-December
Issue numberDecember
DOIs
StatePublished - Jan 1 2014
Event13th IEEE SENSORS Conference, SENSORS 2014 - Valencia, Spain
Duration: Nov 2 2014Nov 5 2014

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All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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