Low-Power Multi-Lead Wearable ECG System With Sensor Data Compression

This study proposes a low-power wearable electrocardiogram (ECG) acquisition system for monitoring human health in daily life. A flexible sensing electrode was designed to replace traditional silver-silver chloride (Ag/AgCl) electrodes for measuring ECG signals from leads I, II, and V1. The traditio...

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Veröffentlicht in:	IEEE sensors journal Jg. 22; H. 18; S. 18045 - 18055
Hauptverfasser:	Wang, Liang-Hung, Zhang, Zong-Heng, Tsai, Wen-Ping, Huang, Pao-Cheng, Abu, Patricia Angela R.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 15.09.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Biomedical monitoring Bluetooth Bluetooth low energy (BLE) Compression ratio Data compression electrocardiogram (ECG)-sensing electrodes Electrocardiography Electrodes lossless compression algorithm Monitoring Portable equipment Power consumption Power management Real-time systems Sampling Sensors Silver chloride Wearable technology
ISSN:	1530-437X, 1558-1748
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Abstract	This study proposes a low-power wearable electrocardiogram (ECG) acquisition system for monitoring human health in daily life. A flexible sensing electrode was designed to replace traditional silver-silver chloride (Ag/AgCl) electrodes for measuring ECG signals from leads I, II, and V1. The traditional multi-lead-wired ECG detector limits the movements and activities of the patient and requires medical staff to assist in collecting ECG signals. The portable ECG acquisition device proposed in this article is not only comfortable to wear but also convenient for patients to use anytime, anywhere. To increase the sampling rate of the device to obtain more ECG signal information, this study proposes an innovative Huffman lossless ECG data compression algorithm based on variable-word length coding (VLC). This algorithm can efficiently realize data compression and reduce power consumption. It makes the whole system operate continuously for a long period of time and acquire abundant ECG information, which is helpful for clinical diagnosis. Experimental results show that when the sampling rate is 400 Hz, the working current is only 3.64 mA, and the compression ratio (CR) of the device can reach 2.38.
AbstractList	This study proposes a low-power wearable electrocardiogram (ECG) acquisition system for monitoring human health in daily life. A flexible sensing electrode was designed to replace traditional silver–silver chloride (Ag/AgCl) electrodes for measuring ECG signals from leads I, II, and V1. The traditional multi-lead-wired ECG detector limits the movements and activities of the patient and requires medical staff to assist in collecting ECG signals. The portable ECG acquisition device proposed in this article is not only comfortable to wear but also convenient for patients to use anytime, anywhere. To increase the sampling rate of the device to obtain more ECG signal information, this study proposes an innovative Huffman lossless ECG data compression algorithm based on variable-word length coding (VLC). This algorithm can efficiently realize data compression and reduce power consumption. It makes the whole system operate continuously for a long period of time and acquire abundant ECG information, which is helpful for clinical diagnosis. Experimental results show that when the sampling rate is 400 Hz, the working current is only 3.64 mA, and the compression ratio (CR) of the device can reach 2.38.
Author	Wang, Liang-Hung Zhang, Zong-Heng Huang, Pao-Cheng Abu, Patricia Angela R. Tsai, Wen-Ping
Author_xml	– sequence: 1 givenname: Liang-Hung orcidid: 0000-0002-2115-8902 surname: Wang fullname: Wang, Liang-Hung email: eetommy@fzu.edu.cn organization: Department of Microelectronics, College of Physics and Information Engineering, Fuzhou University, Fuzhou, China – sequence: 2 givenname: Zong-Heng surname: Zhang fullname: Zhang, Zong-Heng email: 201127191@fzu.edu.cn organization: Department of Microelectronics, College of Physics and Information Engineering, Fuzhou University, Fuzhou, China – sequence: 3 givenname: Wen-Ping surname: Tsai fullname: Tsai, Wen-Ping email: n191127063@fzu.edu.cn organization: Department of Microelectronics, College of Physics and Information Engineering, Fuzhou University, Fuzhou, China – sequence: 4 givenname: Pao-Cheng orcidid: 0000-0001-9231-4282 surname: Huang fullname: Huang, Pao-Cheng email: paulhuang@fafu.edu.cn organization: College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fujian, China – sequence: 5 givenname: Patricia Angela R. orcidid: 0000-0002-8848-6644 surname: Abu fullname: Abu, Patricia Angela R. email: pabu@ateneo.edu organization: Department of Information Systems and Computer Science, Ateneo de Manila University, Quezon City, Philippines
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SubjectTerms	Algorithms Biomedical monitoring Bluetooth Bluetooth low energy (BLE) Compression ratio Data compression electrocardiogram (ECG)-sensing electrodes Electrocardiography Electrodes lossless compression algorithm Monitoring Portable equipment Power consumption Power management Real-time systems Sampling Sensors Silver chloride Wearable technology
Title	Low-Power Multi-Lead Wearable ECG System With Sensor Data Compression
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