Demonstration abstract: BioWatch - A wrist watch based physiological signal acquisition system

Simi Susan Thomas, Viswam Nathan, Chengzhi Zong, Praveen Aroul, Lijoy Philipose, Karthikeyan Soundarapandian, Xiangrong Shi, Roozbeh Jafari

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

A wrist watch based system, which can measure electrocardiogram (ECG) and photoplethysmogram (PPG), is presented in this work. By using both ECG and PPG we measure pulse transit time (PTT), which is known to correlate well with the blood pressure (BP) [1]. This system, called BioWatch, can potentially facilitate continuous and ubiquitous monitoring of ECG, PPG and BP.

Original languageEnglish
Title of host publicationIPSN 2014 - Proceedings of the 13th International Symposium on Information Processing in Sensor Networks (Part of CPS Week)
PublisherIEEE Computer Society
Pages349-350
Number of pages2
ISBN (Print)9781479931460
DOIs
Publication statusPublished - 1 Jan 2014
Event13th IEEE/ACM International Conference on Information Processing in Sensor Networks, IPSN 2014 - Berlin, Germany
Duration: 15 Apr 201417 Apr 2014

Publication series

NameIPSN 2014 - Proceedings of the 13th International Symposium on Information Processing in Sensor Networks (Part of CPS Week)

Other

Other13th IEEE/ACM International Conference on Information Processing in Sensor Networks, IPSN 2014
CountryGermany
CityBerlin
Period15/04/1417/04/14

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Keywords

  • Blood pressure
  • Dry-contact electrodes
  • Electrocardiogram
  • Photoplethysmogram
  • Pulse transit time
  • Wrist-based physiological monitoring

Cite this

Thomas, S. S., Nathan, V., Zong, C., Aroul, P., Philipose, L., Soundarapandian, K., ... Jafari, R. (2014). Demonstration abstract: BioWatch - A wrist watch based physiological signal acquisition system. In IPSN 2014 - Proceedings of the 13th International Symposium on Information Processing in Sensor Networks (Part of CPS Week) (pp. 349-350). [6835794] (IPSN 2014 - Proceedings of the 13th International Symposium on Information Processing in Sensor Networks (Part of CPS Week)). IEEE Computer Society. https://doi.org/10.1109/IPSN.2014.6846797