Comparison of wavelet transformation and adaptive filtering in restoring artefact-induced time-related measurement

Abstract Photoplethysmography (PPG) can be used in time-related measurements such as heart rate (HR) and pulse transit time (PTT) estimations in the medical fields. The accuracy of these two parameters is heavily dependent on the minimal phase variability of the PPG signals. Moreover, motion artefact is a common phenomenon that can contaminate the PPG signals. This paper compares the capabilities of two signal processing techniques; digital adaptive filtering and discrete wavelet transformation, in restoring artefact-induced PPG signals during two regulated mild movements. HR comparison was evaluated against estimates attained from an electrocardiogram (ECG) while PTT evaluation was based on a reference PPG source free of artefacts. Comparison criteria was based on documented evidences that a HR difference of

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