Open Access and Peer-reviewed
Home Journal Issues Guide for Authors Editorial Board Aims & Scope About Journal News & Announcements


Original Research 


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.

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.

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


 
ARTICLE TOOLS
Abstract
PDF Fulltext
How to cite this articleHow to cite this article
Citation Tools
Related Records
 Articles by Muhammad Kashif
Articles by Muhammad Fahmi
Articles by Dita Aprilia Hariyani
Articles by Akif Rahmatilah
Articles by Khusnul Ain
Articles by Yunus Susilo
Articles by Ardiyansyah Syahrom
Articles by Suryani Dyah Astuti
on Google
on Google Scholar


How to Cite this Article
Pubmed Style

Kashif M, Fahmi M, Hariyani DA, Rahmatilah A, Ain K, Susilo Y, Syahrom A, Astuti SD. An improved Kalman Filter in Photoplethysmography DC Component Denoising for cardiorespiratory analysis. RMJ. 2022; 47(3): 741-745. doi:10.5456/rmj.

Web Style

Kashif M, Fahmi M, Hariyani DA, Rahmatilah A, Ain K, Susilo Y, Syahrom A, Astuti SD. An improved Kalman Filter in Photoplethysmography DC Component Denoising for cardiorespiratory analysis. https://www.rmj.org.pk/?mno=48464 [Access: September 02, 2022]. doi:10.5456/rmj.

AMA (American Medical Association) Style

Kashif M, Fahmi M, Hariyani DA, Rahmatilah A, Ain K, Susilo Y, Syahrom A, Astuti SD. An improved Kalman Filter in Photoplethysmography DC Component Denoising for cardiorespiratory analysis. RMJ. 2022; 47(3): 741-745. doi:10.5456/rmj.


Vancouver/ICMJE Style

Kashif M, Fahmi M, Hariyani DA, Rahmatilah A, Ain K, Susilo Y, Syahrom A, Astuti SD. An improved Kalman Filter in Photoplethysmography DC Component Denoising for cardiorespiratory analysis. RMJ. (2022), [cited September 02, 2022]; 47(3): 741-745. doi:10.5456/rmj.


Harvard Style

Kashif, M., Fahmi, . M., Hariyani, . D. A., Rahmatilah, . A., Ain, . K., Susilo, . Y., Syahrom, . A. & Astuti, . S. D. (2022) An improved Kalman Filter in Photoplethysmography DC Component Denoising for cardiorespiratory analysis. RMJ, 47 (3), 741-745. doi:10.5456/rmj.


Turabian Style

Kashif, Muhammad, Muhammad Fahmi, Dita Aprilia Hariyani, Akif Rahmatilah, Khusnul Ain, Yunus Susilo, Ardiyansyah Syahrom, and Suryani Dyah Astuti. 2022. An improved Kalman Filter in Photoplethysmography DC Component Denoising for cardiorespiratory analysis. Rawal Medical Journal, 47 (3), 741-745. doi:10.5456/rmj.


Chicago Style

Kashif, Muhammad, Muhammad Fahmi, Dita Aprilia Hariyani, Akif Rahmatilah, Khusnul Ain, Yunus Susilo, Ardiyansyah Syahrom, and Suryani Dyah Astuti. "An improved Kalman Filter in Photoplethysmography DC Component Denoising for cardiorespiratory analysis." Rawal Medical Journal 47 (2022), 741-745. doi:10.5456/rmj.


MLA (The Modern Language Association) Style

Kashif, Muhammad, Muhammad Fahmi, Dita Aprilia Hariyani, Akif Rahmatilah, Khusnul Ain, Yunus Susilo, Ardiyansyah Syahrom, and Suryani Dyah Astuti. "An improved Kalman Filter in Photoplethysmography DC Component Denoising for cardiorespiratory analysis." Rawal Medical Journal 47.3 (2022), 741-745. Print. doi:10.5456/rmj.


APA (American Psychological Association) Style

Kashif, M., Fahmi, . M., Hariyani, . D. A., Rahmatilah, . A., Ain, . K., Susilo, . Y., Syahrom, . A. & Astuti, . S. D. (2022) An improved Kalman Filter in Photoplethysmography DC Component Denoising for cardiorespiratory analysis. Rawal Medical Journal, 47 (3), 741-745. doi:10.5456/rmj.





AUTHOR LOGIN

REVIEWER LOGIN

Indexed
&
Abstracted

Indexed in Scopus, Web of Science, WHO Index Medicus IMEMR, Emromedex, Pakmedinet, ExtraMED and Tehqeeqat

            Approved by the Higher Education Commission of Pakistan 

ABOUT JOURNAL
 POLICIES
 STATEMENTS

This is an open access journal which means that all content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles in this journal without asking prior permission from the publisher or the author. This is in accordance with the Budapest Open Access Initiative (BOAI) definition of open access.
The articles in Rawal Medical Journal are open access articles licensed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc-sa/3.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.