NDLI: A Comparative Study to Extract the Diaphragmatic Electromyogram Signal

Content Provider	IEEE Xplore Digital Library
Author	Yaosheng Lu Ying Xian Jiongfeng Chen Zeguang Zheng
Copyright Year	2008
Description	Author affiliation: Coll. of Inf. Sci. & Technol., Jinan Univ., Guangzhou (Yaosheng Lu; Ying Xian; Jiongfeng Chen)
Abstract	Extracting the diaphragmatic electromyogram (EMG) signal is the key to manufacture the breathing machine in synchrony with patient. However, the diaphragmatic EMG signal is immerged in the electrocardiogram (ECG) signal. The mixed signals composed of EMG signal and ECG signal are obtained from the platform of EMG signal acquisition. Hence, extracting the diaphragmatic EMG signal perfectly is a difficult work. This paper employs three filters which are matched filter, adaptive filter, and mathematical morphology filter to extract the EMG signal respectively. Furthermore, we compare and analyze the performances of them in extracting the EMG signal and then discuss the advantages and disadvantages, which is convenient for us to choose the best one in application.
Starting Page	315
Ending Page	319
File Size	532501
Page Count	5
File Format	PDF
ISBN	9780769531182
DOI	10.1109/BMEI.2008.77
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Noise reduction Adaptive filters Muscles Educational institutions Adaptive filter Data mining Diaphragmatic electromyogram (EMG) Matched filters Mathematical morphology filter Matched filter Morphology Electrocardiography Electromyography Electrocardiogram (ECG) Signal to noise ratio
Content Type	Text
Resource Type	Article

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