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
N1 - Publisher Copyright:
© 2014 IEEE.
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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U2 - 10.1109/BioCAS.2014.6981666
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 -