NDLI: Advances in the Construction of ECG Wearable Sensor Technology: The ECG-ITM-05 eHealth Data Acquisition System

Content Provider	IEEE Xplore Digital Library
Author	Gnecchi, J.A.G. de Jesus Valencia Herrejon, A. del Carmen Tellez Anguiano, A. Patino, A.M. Espinoza, D.L.
Copyright Year	2012
Description	Author affiliation: Dept. de Ing. Electron., Inst. Tecnol. de Morelia, Morelia, Mexico (Gnecchi, J.A.G.; de Jesus Valencia Herrejon, A.; del Carmen Tellez Anguiano, A.; Patino, A.M.) \|\| Seccion Bioelectronica, CINVESTAV/IPN, Mexico City, Mexico (Espinoza, D.L.)
Abstract	This paper presents recent advances in development of ECG WS (electrocardiogram wearable sensor) eHealth data acquisition systems (eHealth-DAQ) as part of an ongoing effort to produce low-cost, reliable biopotential monitoring equipment. The ECG-ITM05 eHealth DAQ is based on the recently introduced ADS1298 analog front end, MSP430F2618 ultra-low power micro controller and μSD memory card to produce a minimalist long-term measurement system. The equipment uses conductive fabrics sewed onto sportswear shirts as electrodes. Active electrodes help maintaining the quality of measured ECG similar to that of conventional electrodes in some locations. The equipment was used for monitoring various activities (sit-ups, twisting, power walking and gym bicycle riding) for evaluating the performance of the electrode sensing array. The results show that the equipment can be used for measuring long term ambulatory cardiac activity and is a versatile unit that allows in-system programming for implementing further signal processing algorithms.
Sponsorship	IEEE Comput. Soc.
Starting Page	338
Ending Page	342
File Size	556566
Page Count	5
File Format	PDF
ISBN	9781467350969
DOI	10.1109/CERMA.2012.60
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-19
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transform Wearable Sensors Digital signal processing Electrocardiography eHealth
Content Type	Text
Resource Type	Article

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