Home|Journals|Articles by Year|Audio Abstracts RSS - TOC

RMJ. 2022; 47(3): 741-745

An improved Kalman Filter in Photoplethysmography DC Component Denoising for cardiorespiratory analysis

Muhammad Kashif, Muhammad Fahmi, Dita Aprilia Hariyani, Akif Rahmatilah, Khusnul Ain, Yunus Susilo, Ardiyansyah Syahrom, Suryani Dyah Astuti.

Cited by 0 Articles

Objective: To design an improved accuracy filter for photoplethysmography Direct Current (DC) component denoising and clinically applicable measurement design.
Methodology: The data source for this study was obtained from Physionet. The obtained PPG signal was mixed with seven different types of noises. The seven different derivates of PPG signals were denoised using 4 types of denoisers that were designed using Infinite impulse response (IIR), finite impulse response (FIR), Kalman, and improved Kalman filters. The difference can be measured by the SNR value, the lower signal to noise ratio (SNR) value shows higher noise in the signal.
Results: SNR value achieved on FIR filter was 7.54dB, IIR 9.08dB, Kalman 18.96dB and the maximum SNR achieved on the improved Kalman filter which is 24.76 dB.
Conclusion: It can be said that the Improved Kalman Filter is more appropriate for DC signal denoising in PPG signals rather than the FIR filter, IIR filter, and Kalman filter.

Key words: PPG signal, motion artifact, Kalman filter, Health care.

Full-text options

Share this Article

Online Article Submission
• ejmanager.com

ejPort - eJManager.com
Review(er)s Central
About BiblioMed
License Information
Terms & Conditions
Privacy Policy
Contact Us

The articles in Bibliomed are open access articles licensed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (https://creativecommons.org/licenses/by-nc-sa/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.