Characterization and reduction of motion artifacts in photoplethysmographic signals from a wrist-worn device
| Autor: | Alexandra-Maria Tautan, Fokko Pieter Wieringa, Alex Young, Eva C. Wentink |
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| Rok vydání: | 2015 |
| Předmět: |
Male
Computer science Movement Speech recognition Acceleration High Tech Systems & Materials Accelerometer Signal Motion Wavelet Heart Rate Motion artifacts Photoplethysmogram Humans Computer vision Photoplethysmography OPT - Optics TS - Technical Sciences Industrial Innovation business.industry Signal Processing Computer-Assisted Wrist Frequency domain Nano Technology Female Artificial intelligence Electronics Artifacts business Algorithms |
| Zdroj: | EMBC 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015, 25-29 August 2015, 6146-6149 |
| DOI: | 10.1109/embc.2015.7319795 |
| Popis: | Methods for analyzing various motion artifacts in photoplethysmography (PPG) signals, recorded by a wristworn device are reported. The analysis looks both at intrinsic PPG signal properties, through standard deviation, skew and kurtosis, but also at its relationship to five possible motion reference signals, through the correlation coefficient and mutual information. The investigated references include the X, Y, Z accelerometer axes, acceleration magnitude and a different wavelength PPG channel. The latter showed higher correlation to the input PPG signal during movement. A wavelet based motion artifact reduction algorithm is described. The algorithm improves the visibility of the heart rate (HR) components in the frequency domain representation of the signals. |
| Databáze: | OpenAIRE |
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