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

    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
    Pages3498-3501
    Number of pages4
    Publication statusPublished - 2005 Dec 1
    Event2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China
    Duration: 2005 Sep 12005 Sep 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
    CountryChina
    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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