Movement Noise Cancellation in Second Derivative of Photoplethysmography Signals with Wavelet Transform and Diversity Combining

In this paper, we propose an algorithm to remove movement noise from second derivative of photoplethysmography (SDPPG) signals. SDPPG is widely used in healthcare applications because of its easy and comfortable measurement. However, an SDPPG signal is vulnerable to movement, which degrades the sign...

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Autors principals: Dahee Ban, Syed Maaz Shahid, Sungoh Kwon
Format: Article
Idioma:English
Publicat: MDPI AG 2018-09-01
Col·lecció:Applied Sciences
Matèries:
Accés en línia:http://www.mdpi.com/2076-3417/8/9/1531
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author Dahee Ban
Syed Maaz Shahid
Sungoh Kwon
author_facet Dahee Ban
Syed Maaz Shahid
Sungoh Kwon
author_sort Dahee Ban
collection DOAJ
description In this paper, we propose an algorithm to remove movement noise from second derivative of photoplethysmography (SDPPG) signals. SDPPG is widely used in healthcare applications because of its easy and comfortable measurement. However, an SDPPG signal is vulnerable to movement, which degrades the signal. Degradation of SDPPG signal shapes can result in incorrect diagnosis. The proposed algorithm detects movement noise in a measurement signal using wavelet transform, and removes movement noise by selecting the best signal from among multiple signals measured at different locations. Experiment results show that the proposed algorithm outperforms the previous filter-based algorithm, and that movement noise with 30% time duration can be reduced by up to 70.89%.
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spelling doaj.art-344a6eaef1fc46b0a1569e09eb9f9ab82022-12-21T20:00:09ZengMDPI AGApplied Sciences2076-34172018-09-0189153110.3390/app8091531app8091531Movement Noise Cancellation in Second Derivative of Photoplethysmography Signals with Wavelet Transform and Diversity CombiningDahee Ban0Syed Maaz Shahid1Sungoh Kwon2School of Electrical Engineering, University of Ulsan, Ulsan 44610, KoreaSchool of Electrical Engineering, University of Ulsan, Ulsan 44610, KoreaSchool of Electrical Engineering, University of Ulsan, Ulsan 44610, KoreaIn this paper, we propose an algorithm to remove movement noise from second derivative of photoplethysmography (SDPPG) signals. SDPPG is widely used in healthcare applications because of its easy and comfortable measurement. However, an SDPPG signal is vulnerable to movement, which degrades the signal. Degradation of SDPPG signal shapes can result in incorrect diagnosis. The proposed algorithm detects movement noise in a measurement signal using wavelet transform, and removes movement noise by selecting the best signal from among multiple signals measured at different locations. Experiment results show that the proposed algorithm outperforms the previous filter-based algorithm, and that movement noise with 30% time duration can be reduced by up to 70.89%.http://www.mdpi.com/2076-3417/8/9/1531SDPPGmovement noisewavelet transformdiversity combining
spellingShingle Dahee Ban
Syed Maaz Shahid
Sungoh Kwon
Movement Noise Cancellation in Second Derivative of Photoplethysmography Signals with Wavelet Transform and Diversity Combining
Applied Sciences
SDPPG
movement noise
wavelet transform
diversity combining
title Movement Noise Cancellation in Second Derivative of Photoplethysmography Signals with Wavelet Transform and Diversity Combining
title_full Movement Noise Cancellation in Second Derivative of Photoplethysmography Signals with Wavelet Transform and Diversity Combining
title_fullStr Movement Noise Cancellation in Second Derivative of Photoplethysmography Signals with Wavelet Transform and Diversity Combining
title_full_unstemmed Movement Noise Cancellation in Second Derivative of Photoplethysmography Signals with Wavelet Transform and Diversity Combining
title_short Movement Noise Cancellation in Second Derivative of Photoplethysmography Signals with Wavelet Transform and Diversity Combining
title_sort movement noise cancellation in second derivative of photoplethysmography signals with wavelet transform and diversity combining
topic SDPPG
movement noise
wavelet transform
diversity combining
url http://www.mdpi.com/2076-3417/8/9/1531
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AT syedmaazshahid movementnoisecancellationinsecondderivativeofphotoplethysmographysignalswithwavelettransformanddiversitycombining
AT sungohkwon movementnoisecancellationinsecondderivativeofphotoplethysmographysignalswithwavelettransformanddiversitycombining