TY - GEN
T1 - Implementation of a real-time ECG signal processor
AU - Chang Chien, Shih Yu
AU - Hsieh, Cheng Han
AU - Lin, Po-Hung
AU - Fang, Qiang
AU - Lee, Shuenn Yuh
PY - 2014
Y1 - 2014
N2 - A real-time ECG beat detection and classification system integrated with a decimation filter is presented in this paper. The decimation filter with a decimation ratio of 128 is utilized with four stages to optimize power. The beat detection algorithm is based on multi-scale Haar wavelet transform. The first step of the beat detection algorithm is to define a region composed of 128 sample points. The next step is to define the beat position. The beat detection algorithm which is verified with data from MIT/BIH Arrhythmia Database achieves a sensitivity of 99.67% and a positive predictability of 99.59%. The used heartbeat classification algorithm is called maximum similarity comparisons. The parameter of the classification is programmable for doctors. This proposed system can realize multiple functions in real time. This chip is fabricated in a 0.18 μm standard CMOS technology with chip area of 4.84 mm2, which achieves low power consumptions and can carry out a long term cardiac monitoring.
AB - A real-time ECG beat detection and classification system integrated with a decimation filter is presented in this paper. The decimation filter with a decimation ratio of 128 is utilized with four stages to optimize power. The beat detection algorithm is based on multi-scale Haar wavelet transform. The first step of the beat detection algorithm is to define a region composed of 128 sample points. The next step is to define the beat position. The beat detection algorithm which is verified with data from MIT/BIH Arrhythmia Database achieves a sensitivity of 99.67% and a positive predictability of 99.59%. The used heartbeat classification algorithm is called maximum similarity comparisons. The parameter of the classification is programmable for doctors. This proposed system can realize multiple functions in real time. This chip is fabricated in a 0.18 μm standard CMOS technology with chip area of 4.84 mm2, which achieves low power consumptions and can carry out a long term cardiac monitoring.
UR - http://www.scopus.com/inward/record.url?scp=84904542888&partnerID=8YFLogxK
U2 - 10.1109/ISBB.2014.6820941
DO - 10.1109/ISBB.2014.6820941
M3 - Conference contribution
AN - SCOPUS:84904542888
SN - 9781479927708
T3 - 2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014
BT - 2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014
PB - IEEE Computer Society
T2 - 2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014
Y2 - 11 April 2014 through 14 April 2014
ER -