demonstration

A low power and convenient bio-impedance monitor, and its application to respiration monitoring

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Julien PendersAuthors Info & Claims

WH '13: Proceedings of the 4th Conference on Wireless Health

Article No.: 13, Pages 1 - 2

https://doi.org/10.1145/2534088.2534091

Published: 01 November 2013 Publication History

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Abstract

A low power and convenient bio-impedance monitor, which relies on a proprietary ASIC to achieve low power performance, is shown. It can be used in several bio-impedance applications, especially in continuous and wearable applications thanks to its compact form factor and long battery life time. In this paper, we demonstrate its performance for respiration monitoring. The result is compared with that of the reference system, showing a high correlation factor of 0.91.

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V.-P. Seppä, et al., 4th European Conference of the International Federation for Medical and Biological Engineering, vol. 22, pp. 1088--1091, 2009.

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S. Lee, et al., "A Low-power and Compact-sized Wearable Bio-impedance Monitor with Wireless Connectivity," 2013 J. Phys.: Conf. Ser. 434 012013.

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Index Terms

A low power and convenient bio-impedance monitor, and its application to respiration monitoring
1. Applied computing
  1. Life and medical sciences
    1. Consumer health
    2. Health informatics

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Published In

WH '13: Proceedings of the 4th Conference on Wireless Health

November 2013

91 pages

ISBN:9781450322904

DOI:10.1145/2534088

General Chairs:
Roozbeh Jafari
University of Texas at Dallas
,
Wendy Nilsen
National Institutes of Health

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing

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Association for Computing Machinery

New York, NY, United States

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Published: 01 November 2013

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WH '13: Wireless Health 2013

November 1 - 3, 2013

Maryland, Baltimore

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WH '13 Paper Acceptance Rate 7 of 33 submissions, 21%;

Overall Acceptance Rate 35 of 139 submissions, 25%

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Abstract

References

Index Terms

Recommendations

Simultaneous Activity and Respiratory Monitoring Using an Accelerometer

Ambulatory Urodynamics Monitoring System Using Personal Digital Assistance

Wearable Respiration Sensor Platform Using Ultrasound Transducer

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