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access icon free Method for restoring PPG signals using ECG correspondences and SVR

© The Institution of Engineering and Technology
Received 21/08/2013, Published

A novel method for restoring photoplethysmography (PPG) signals using electrocardiography correspondences and support vector regression (SVR) is proposed. To enhance the PPG quality, five correspondences between the period signals of PPG and ECG were automatically detected, and their position and amplitude are independently trained for defining the estimator. The result shows that the quality of the PPG signal restored using the proposed method is greatly enhanced and becomes similar to that of the ECG signal.

Inspec keywords: bioelectric potentials; support vector machines; photoplethysmography; regression analysis; electrocardiography; medical signal processing; signal restoration

Other keywords: SVR; PPG signals; electrocardiography; ECG signals; support vector regression; photoplethysmography signals

Subjects: Digital signal processing; Electrical activity in neurophysiological processes; Signal processing and detection; Electrodiagnostics and other electrical measurement techniques; Bioelectric signals; Other topics in statistics; Biology and medical computing; Knowledge engineering techniques; Other topics in statistics; Probability theory, stochastic processes, and statistics

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