TY - GEN
T1 - Online peak detection in photoplethysmogram signals using sequential learning algorithm
AU - Sumukha, B. N.
AU - Kumar, R. Chandan
AU - Bharadwaj, Skanda S.
AU - George, Koshy
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/6/30
Y1 - 2017/6/30
N2 - Photoplethysmogram signals are becoming increasingly important for the detection of abnormalities in patients. Peak detection plays a significant role in diagnosis and monitoring using PPG signals. Although a copious number of methods are available for peak detection, none of them consider an online processing of the signal. In this paper we propose an online peak detection algorithm that tries to mimic the human cognitive model using a three-layered feedforward neural network trained using online sequential learning algorithm. The signals are processed sequentially without pre-processing or feature extraction, and result in an almost instantaneous detection of peaks.
AB - Photoplethysmogram signals are becoming increasingly important for the detection of abnormalities in patients. Peak detection plays a significant role in diagnosis and monitoring using PPG signals. Although a copious number of methods are available for peak detection, none of them consider an online processing of the signal. In this paper we propose an online peak detection algorithm that tries to mimic the human cognitive model using a three-layered feedforward neural network trained using online sequential learning algorithm. The signals are processed sequentially without pre-processing or feature extraction, and result in an almost instantaneous detection of peaks.
UR - http://www.scopus.com/inward/record.url?scp=85030981672&partnerID=8YFLogxK
U2 - 10.1109/IJCNN.2017.7966004
DO - 10.1109/IJCNN.2017.7966004
M3 - Conference contribution
AN - SCOPUS:85030981672
T3 - Proceedings of the International Joint Conference on Neural Networks
SP - 1313
EP - 1320
BT - 2017 International Joint Conference on Neural Networks, IJCNN 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 International Joint Conference on Neural Networks, IJCNN 2017
Y2 - 14 May 2017 through 19 May 2017
ER -