Feature point identification method of mechanocardiography
AssigneeChang Gung University
InventorsWen-Yen Lin, Ming-Yih Lee, Po-Cheng Chang, Wen-Zheng Zhou
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AssigneeChang Gung University
InventorsWen-Yen Lin, Ming-Yih Lee, Po-Cheng Chang, Wen-Zheng Zhou
Estimating the term…
A method to identify feature points associated with the heart valve movement, heart contraction or cardiac hemodynamics is revealed. The mechanocardiography (MCG) is a technology that makes use of vibrational waveforms acquired using at least one gravity sensor attached on one of the four heart valve auscultation sites on the body surface. The data of the electrocardiography (ECG) is recorded simultaneously with the MCG. The feature points are identified by comparing P, R and T points of synchronized ECG with the MCG spectrum. By the time sequences and amplitudes of the feature points, the method provides additional clinical information of cardiac cycle abnormalities for diagnosis.
A feature point identification method for mechanocardiography (MCG) applied to get a lateral wall contraction maximal velocity feature point (LCV) comprising the steps of:
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