Muhammad Kashif, Muhammad Kashif and Muhammad Fahmi, Muhammad Fahmi and Dita Aprilia Hariyani, Dita Aprilia Hariyani and Akif Rahmatilah, Akif Rahmatilah and Khusnul Ain, Khusnul Ain and Yunus Susilo, Yunus Susilo and Syahrom, Ardiyansyah and Suryani Dyah Astuti, Suryani Dyah Astuti (2022) An improved Kalman filter in Photoplethysmography DC component denoising for cardiorespiratory analysis. Rawal Medical Journal, 47 (3). pp. 743-747. ISSN 0303-5212
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Official URL: https://www.rmj.org.pk/?mno=48464
Abstract
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.
| Item Type: | Article |
|---|---|
| Additional Information: | DOI:10.5456/rmj.2004 DOI not found |
| Uncontrolled Keywords: | health care, Kalman filter, motion artifact, PPG signal |
| Subjects: | Q Science > QC Physics T Technology > TJ Mechanical engineering and machinery |
| Divisions: | Mechanical Engineering |
| ID Code: | 103908 |
| Deposited By: | Yanti Mohd Shah |
| Deposited On: | 06 Dec 2023 04:38 |
| Last Modified: | 06 Dec 2023 04:38 |
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