Wearable electrocardiogram acquisition and classification systems with different distributive operations

Cheng Han Hsieh; Ming Chun Liang; Shih Yu Chang Chien; Yuan Sun Chu; Hsing Chen Lin; Shuenn Yuh Lee

doi:10.1109/BioCAS.2014.6981666

Wearable electrocardiogram acquisition and classification systems with different distributive operations

Cheng Han Hsieh
, Ming Chun Liang
, Shih Yu Chang Chien
, Yuan Sun Chu
, Hsing Chen Lin
, Shuenn Yuh Lee

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

This paper presents two wearable electrocardiogram signal acquisition and classification systems that are capable of long-term healthcare and bio-signal record. In the first version, an MSP430 micro-control unit (MCU) combines with low-power analog front end (AFE), and a Bluetooth module is implemented. The proposed AFE consists of a low-noise pre-amplifier with gain control and a high-pass sigma-delta modulator (HPSDM) that allows the system to achieve high resolution. The direct transmission of the HPSDM outcome can enhance data security. In the other version, the MCU is replaced by a bio-signal processor (BSP). The BSP combines a decimation filter with a wavelet-transform processor to fulfill beat detection and classification. The UART package generator is also integrated in BSP. The algorithm of BSP is verified by MIT/BIH Arrhythmia data, with sensitivity and positive predictability of 99.67% and 99.59%, respectively. The entire system can be operated for 2 days by using two PR44 zinc-air batteries of 605 mAh as power supply.

Original language	English
Title of host publication	IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	145-148
Number of pages	4
ISBN (Electronic)	9781479923465
DOIs	https://doi.org/10.1109/BioCAS.2014.6981666
Publication status	Published - 2014 Dec 9
Event	10th IEEE Biomedical Circuits and Systems Conference, BioCAS 2014 - Lausanne, Switzerland Duration: 2014 Oct 22 → 2014 Oct 24

Publication series

Name	IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings

Other

Other	10th IEEE Biomedical Circuits and Systems Conference, BioCAS 2014
Country/Territory	Switzerland
City	Lausanne
Period	14-10-22 → 14-10-24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

Hardware and Architecture
Biomedical Engineering

Access to Document

10.1109/BioCAS.2014.6981666

Cite this

Hsieh, C. H., Liang, M. C., Chien, S. Y. C., Chu, Y. S., Lin, H. C., & Lee, S. Y. (2014). Wearable electrocardiogram acquisition and classification systems with different distributive operations. In IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings (pp. 145-148). Article 6981666 (IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BioCAS.2014.6981666

Hsieh, Cheng Han ; Liang, Ming Chun ; Chien, Shih Yu Chang et al. / Wearable electrocardiogram acquisition and classification systems with different distributive operations. IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 145-148 (IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings).

@inproceedings{ea35436dc8fb4b3b99a4124f28cd346b,

title = "Wearable electrocardiogram acquisition and classification systems with different distributive operations",

abstract = "This paper presents two wearable electrocardiogram signal acquisition and classification systems that are capable of long-term healthcare and bio-signal record. In the first version, an MSP430 micro-control unit (MCU) combines with low-power analog front end (AFE), and a Bluetooth module is implemented. The proposed AFE consists of a low-noise pre-amplifier with gain control and a high-pass sigma-delta modulator (HPSDM) that allows the system to achieve high resolution. The direct transmission of the HPSDM outcome can enhance data security. In the other version, the MCU is replaced by a bio-signal processor (BSP). The BSP combines a decimation filter with a wavelet-transform processor to fulfill beat detection and classification. The UART package generator is also integrated in BSP. The algorithm of BSP is verified by MIT/BIH Arrhythmia data, with sensitivity and positive predictability of 99.67\% and 99.59\%, respectively. The entire system can be operated for 2 days by using two PR44 zinc-air batteries of 605 mAh as power supply.",

author = "Hsieh, \{Cheng Han\} and Liang, \{Ming Chun\} and Chien, \{Shih Yu Chang\} and Chu, \{Yuan Sun\} and Lin, \{Hsing Chen\} and Lee, \{Shuenn Yuh\}",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 10th IEEE Biomedical Circuits and Systems Conference, BioCAS 2014 ; Conference date: 22-10-2014 Through 24-10-2014",

year = "2014",

month = dec,

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doi = "10.1109/BioCAS.2014.6981666",

language = "English",

series = "IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings",

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}

Hsieh, CH, Liang, MC, Chien, SYC, Chu, YS, Lin, HC & Lee, SY 2014, Wearable electrocardiogram acquisition and classification systems with different distributive operations. in IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings., 6981666, IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 145-148, 10th IEEE Biomedical Circuits and Systems Conference, BioCAS 2014, Lausanne, Switzerland, 14-10-22. https://doi.org/10.1109/BioCAS.2014.6981666

Wearable electrocardiogram acquisition and classification systems with different distributive operations. / Hsieh, Cheng Han; Liang, Ming Chun; Chien, Shih Yu Chang et al.
IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. p. 145-148 6981666 (IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Wearable electrocardiogram acquisition and classification systems with different distributive operations

AU - Hsieh, Cheng Han

AU - Liang, Ming Chun

AU - Chien, Shih Yu Chang

AU - Chu, Yuan Sun

AU - Lin, Hsing Chen

AU - Lee, Shuenn Yuh

PY - 2014/12/9

Y1 - 2014/12/9

N2 - This paper presents two wearable electrocardiogram signal acquisition and classification systems that are capable of long-term healthcare and bio-signal record. In the first version, an MSP430 micro-control unit (MCU) combines with low-power analog front end (AFE), and a Bluetooth module is implemented. The proposed AFE consists of a low-noise pre-amplifier with gain control and a high-pass sigma-delta modulator (HPSDM) that allows the system to achieve high resolution. The direct transmission of the HPSDM outcome can enhance data security. In the other version, the MCU is replaced by a bio-signal processor (BSP). The BSP combines a decimation filter with a wavelet-transform processor to fulfill beat detection and classification. The UART package generator is also integrated in BSP. The algorithm of BSP is verified by MIT/BIH Arrhythmia data, with sensitivity and positive predictability of 99.67% and 99.59%, respectively. The entire system can be operated for 2 days by using two PR44 zinc-air batteries of 605 mAh as power supply.

AB - This paper presents two wearable electrocardiogram signal acquisition and classification systems that are capable of long-term healthcare and bio-signal record. In the first version, an MSP430 micro-control unit (MCU) combines with low-power analog front end (AFE), and a Bluetooth module is implemented. The proposed AFE consists of a low-noise pre-amplifier with gain control and a high-pass sigma-delta modulator (HPSDM) that allows the system to achieve high resolution. The direct transmission of the HPSDM outcome can enhance data security. In the other version, the MCU is replaced by a bio-signal processor (BSP). The BSP combines a decimation filter with a wavelet-transform processor to fulfill beat detection and classification. The UART package generator is also integrated in BSP. The algorithm of BSP is verified by MIT/BIH Arrhythmia data, with sensitivity and positive predictability of 99.67% and 99.59%, respectively. The entire system can be operated for 2 days by using two PR44 zinc-air batteries of 605 mAh as power supply.

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DO - 10.1109/BioCAS.2014.6981666

M3 - Conference contribution

AN - SCOPUS:84920531941

T3 - IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings

SP - 145

EP - 148

BT - IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 10th IEEE Biomedical Circuits and Systems Conference, BioCAS 2014

Y2 - 22 October 2014 through 24 October 2014

ER -

Hsieh CH, Liang MC, Chien SYC, Chu YS, Lin HC, Lee SY. Wearable electrocardiogram acquisition and classification systems with different distributive operations. In IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2014. p. 145-148. 6981666. (IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings). doi: 10.1109/BioCAS.2014.6981666

Wearable electrocardiogram acquisition and classification systems with different distributive operations

Abstract

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