Department of Medicine, Division of Cardiovascular Medicine; Graduate School of Biomedical Sciences
Analytical, Diagnostic and Therapeutic Techniques and Equipment | Biomedical Engineering and Bioengineering | Cardiovascular Diseases | Health Information Technology
Detection of atrial fibrillation (AF) from a wrist watch photoplethysmogram (PPG) signal is important because the wrist watch form factor enables long term continuous monitoring of arrhythmia in an easy and non-invasive manner. We have developed a novel method not only to detect AF from a smart wrist watch PPG signal, but also to determine whether the recorded PPG signal is corrupted by motion artifacts or not. We detect motion and noise artifacts based on the accelerometer signal and variable frequency complex demodulation based time-frequency analysis of the PPG signal. After that, we use the root mean square of successive differences and sample entropy, calculated from the beat-to-beat intervals of the PPG signal, to distinguish AF from normal rhythm. We then use a premature atrial contraction detection algorithm to have more accurate AF identification and to reduce false alarms. Two separate datasets have been used in this study to test the efficacy of the proposed method, which shows a combined sensitivity, specificity and accuracy of 98.18%, 97.43% and 97.54% across the datasets.
Biomedical engineering, Cardiac device therapy
Rights and Permissions
© The Author(s) 2019. Open Access: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
DOI of Published Version
Sci Rep. 2019 Oct 21;9(1):15054. doi: 10.1038/s41598-019-49092-2. Link to article on publisher's site
Bashar SK, Han D, Hajeb-Mohammadalipour S, Ding EY, Whitcomb C, McManus DD, Chon KH. (2019). Atrial Fibrillation Detection from Wrist Photoplethysmography Signals Using Smartwatches. Open Access Publications by UMMS Authors. https://doi.org/10.1038/s41598-019-49092-2. Retrieved from https://escholarship.umassmed.edu/oapubs/4032
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.