A multi parameters wearable telemetric system for cardio-pulmonary fitness of e-health

Tsung Che Chou*, Nan Fu Chiu, Fang Ren Liao, Shey Shi Lu, Feng Ping, Chang Rung Yang, Chii Wann Lin

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

We report a multi parameters cardio-pulmonary (CP) monitoring system with features of low power consumptions (30 mA,3.3V), miniaturization (size 25 cm2), and wireless data communications (Frequency 96 MHz) for wearable applications in e-Health. Its target application is for the evaluation of fitness of CP during exercises. We use a miniature bi-directional hot-wire sensor for respiratory function, an optical sensor for saturated blood oxygen level or plethsymograph, and two surface electrodes for single lead electrocardiograph. The fitness indexes include blood oxygen level, ECG, and respiratory functions, which will be used for the quantitative evaluation of the level of physical activity.

Original languageEnglish
Title of host publicationProceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3498-3501
Number of pages4
ISBN (Print)0780387406, 9780780387409
DOIs
Publication statusPublished - 2005
Externally publishedYes
Event2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China
Duration: 2005 Sept 12005 Sept 4

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume7 VOLS
ISSN (Print)0589-1019

Other

Other2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Country/TerritoryChina
CityShanghai
Period2005/09/012005/09/04

Keywords

  • Cardio-pulmonary fitness
  • Exercise
  • MEMS
  • Multi parameters
  • Wearable monitoring system
  • e-Health

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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