Comparative analysis of photoplethysmography signal quality from right and left index fingers

Kanwal, K, Asif, M, Khalid, SG ORCID: https://orcid.org/0000-0002-0305-5678, Wasi, S, Zafar, F, Kiran, I and Abdullah, S, 2023. Comparative analysis of photoplethysmography signal quality from right and left index fingers. Traitement du Signal, 40 (5), pp. 2199-2214. ISSN 0765-0019

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Abstract

Photoplethysmography (PPG) has emerged as an increasingly attractive signal for non-invasive physiological measurements, owing to its simplicity, cost-effectiveness, and broad applicability spanning cardiovascular to respiratory systems. The burgeoning interest in PPG signal processing has facilitated its extensive incorporation in wearable devices, thus stimulating active research in this field. The present study undertakes a comprehensive evaluation to discern the optimal index finger (right or left) for PPG data acquisition and subsequent filtration, appraised through the lens of the signal-to-noise ratio (SNR) of the filtered signal. An analysis conducted on signals contaminated with white Gaussian noise unveiled that the Savitzky-Golay filter (a polynomial filter) with a window size of three outperformed other window lengths, rendering the highest SNR. Among the Infinite Impulse Response (IIR) filters compared; the Chebyshev I filter emerged as superior. Interestingly, the right index finger consistently demonstrated a higher mean SNR across filters: 0.49% for the Savitzky-Golay filters, 4.32% for the Butterworth (order 6), 7.71% for the Chebyshev I (order 10), and 4.02% for the Chebyshev II (order 4), relative to the left index finger for PPG signals perturbed by white Gaussian noise. These findings provide an insightful perspective for future research and development in wearable devices, suggesting potential superiority of the right index finger for PPG signal acquisition and filtration.

Item Type:	Journal article
Publication Title:	Traitement du Signal
Creators:	Kanwal, K., Asif, M., Khalid, S.G., Wasi, S., Zafar, F., Kiran, I. and Abdullah, S.
Publisher:	International Information and Engineering Technology Association (IIETA)
Date:	October 2023
Volume:	40
Number:	5
ISSN:	0765-0019
Identifiers:	Number Type 10.18280/ts.400537 DOI 1910369 Other
Rights:	© 2023 IIETA. This article is published by IIETA and is licensed under the CC BY 4.0 license (http://creativecommons.org/licenses/by/4.0/).
Divisions:	Schools > School of Science and Technology
Record created by:	Laura Ward
Date Added:	05 Jul 2024 11:01
Last Modified:	05 Jul 2024 11:01
URI:	https://irep.ntu.ac.uk/id/eprint/51694

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