Wearable low power dry surface wireless sensor node for healthcare monitoring application

Research output: Chapter in Book/Report/Conference proceedingsChapterpeer-review

Abstract

Nowadays, the technology advancements of sensors, low power mixed-signal/RF circuits, wireless communication and Wireless Sensor Networks (WSNs) have enabled the design of compact, low power, high performance and low cost solutions for a wide range of applications, surveillance, building monitoring, sports/fitness, and of particular interesting are applications for health care. Novel sensors for human biomedical signal together with wireless connectivity and low power solutions are creating new opportunities for wearable devices which allow continuous monitoring together with freedom of movement of the users. This paper presents a low-power wearable sensor networks platform for on-body physiological measurements and wireless data communications. The platform hosts novel high sensitivity electric potential dry surface sensors that can be used in either contact or non-contact mode to measure ECG and EMG signals. Heart rate and respiration rate is performed runtime directly on the node. This approach reduces the amount of data than need to be transmitted, from raw measurement to analyzed data. In doing so the duty cycle of the radio has been reduced and the power consumption of the node optimized. Experimental measurements show the acquisition and processing of data from sensors and the low power consumption achieved with the node in different modalities.

Original languageEnglish
Title of host publication2013 IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2013
Pages189-195
Number of pages7
DOIs
Publication statusPublished - 2013
Event2013 IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2013 - Lyon, France
Duration: 7 Oct 20139 Oct 2013

Publication series

NameInternational Conference on Wireless and Mobile Computing, Networking and Communications
ISSN (Print)2161-9646
ISSN (Electronic)2161-9654

Conference

Conference2013 IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2013
Country/TerritoryFrance
CityLyon
Period7/10/139/10/13

Keywords

  • Body Sensor Network
  • Dry Surface Sensors
  • ECG
  • EMG
  • Energy Efficient Wireless Node
  • Health Care

Fingerprint

Dive into the research topics of 'Wearable low power dry surface wireless sensor node for healthcare monitoring application'. Together they form a unique fingerprint.

Cite this