Lim, Pooi Khoon and Ng, Siew Cheok and Lovell, Nigel Hamilton and Yu, Yong Poh and Tan, Maw Pin and McCombie, Devin and Lim, Einly and Redmond, Stephen James (2018) Adaptive template matching of photoplethysmogram pulses to detect motion artefact. Physiological Measurement, 39 (10). p. 105005. ISSN 1361-6579, DOI https://doi.org/10.1088/1361-6579/aadf1e.
Full text not available from this repository.Abstract
Objective: The photoplethysmography (PPG) signal, commonly used in the healthcare settings, is easily affected by movement artefact leading to errors in the extracted heart rate and SpO 2 estimates. This study aims to develop an online artefact detection system based on adaptive (dynamic) template matching, suitable for continuous PPG monitoring during daily living activities or in the intensive care units (ICUs). Approach: Several master templates are initially generated by applying principal component analysis to data obtained from the PhysioNet MIMIC II database. The master template is then updated with each incoming clean PPG pulse. The correlation coefficient is used to classify the PPG pulse into either good or bad quality categories. The performance of our algorithm was evaluated using data obtained from two different sources: (i) our own data collected from 19 healthy subjects using the wearable Sotera Visi Mobile system (Sotera Wireless Inc.) as they performed various movement types; and (ii) ICU data provided by the PhysioNet MIMIC II database. The developed algorithm was evaluated against a manually annotated 'gold standard' (GS). Main results: Our algorithm achieved an overall accuracy of 91.5% ± 2.9%, with a sensitivity of 94.1% ± 2.7% and a specificity of 89.7% ± 5.1%, when tested on our own data. When applying the algorithm to data from the PhysioNet MIMIC II database, it achieved an accuracy of 98.0%, with a sensitivity and specificity of 99.0% and 96.1%, respectively. Significance: The proposed method is simple and robust against individual variations in the PPG characteristics, thus making it suitable for a diverse range of datasets. Integration of the proposed artefact detection technique into remote monitoring devices could enhance reliability of the PPG-derived physiological parameters.
| Item Type: | Article |
|---|---|
| Funders: | Ministry of Education, Fundamental Research Grant Scheme (FP008-2016) |
| Uncontrolled Keywords: | adaptive template; artefact; continuous PPG; master template; signal quality assessment |
| Subjects: | R Medicine |
| Divisions: | Faculty of Engineering Faculty of Medicine |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 31 May 2019 02:58 |
| Last Modified: | 31 May 2019 02:58 |
| URI: | http://eprints.um.edu.my/id/eprint/21438 |
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