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 contributionResearchpeer-review

4 Citations (Scopus)

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
StatePublished - 1 Jan 2014
Event13th IEEE/ACM International Conference on Information Processing in Sensor Networks, IPSN 2014 - Berlin, Germany
Duration: 15 Apr 201417 Apr 2014

Other

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

Fingerprint

Electrocardiography
Demonstrations
Blood pressure
Monitoring

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] IEEE Computer Society. https://doi.org/10.1109/IPSN.2014.6846797
Thomas, Simi Susan ; Nathan, Viswam ; Zong, Chengzhi ; Aroul, Praveen ; Philipose, Lijoy ; Soundarapandian, Karthikeyan ; Shi, Xiangrong ; Jafari, Roozbeh. / Demonstration abstract : BioWatch - A wrist watch based physiological signal acquisition system. IPSN 2014 - Proceedings of the 13th International Symposium on Information Processing in Sensor Networks (Part of CPS Week). IEEE Computer Society, 2014. pp. 349-350
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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.",
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Thomas, SS, Nathan, V, Zong, C, Aroul, P, Philipose, L, Soundarapandian, K, Shi, X & 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)., 6835794, IEEE Computer Society, pp. 349-350, 13th IEEE/ACM International Conference on Information Processing in Sensor Networks, IPSN 2014, Berlin, Germany, 15/04/14. https://doi.org/10.1109/IPSN.2014.6846797

Demonstration abstract : BioWatch - A wrist watch based physiological signal acquisition system. / Thomas, Simi Susan; Nathan, Viswam; Zong, Chengzhi; Aroul, Praveen; Philipose, Lijoy; Soundarapandian, Karthikeyan; Shi, Xiangrong; Jafari, Roozbeh.

IPSN 2014 - Proceedings of the 13th International Symposium on Information Processing in Sensor Networks (Part of CPS Week). IEEE Computer Society, 2014. p. 349-350 6835794.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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Thomas SS, Nathan V, Zong C, Aroul P, Philipose L, Soundarapandian K et al. 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). IEEE Computer Society. 2014. p. 349-350. 6835794 https://doi.org/10.1109/IPSN.2014.6846797