Precision Heart Rate Estimation Using a PPG Sensor Patch Equipped with New Algorithms of Pre-Quality Checking and Hankel Decomposition
A new method for accurately estimating heart rates based on a single photoplethysmography (PPG) signal and accelerations is proposed in this study, considering motion artifacts due to subjects’ hand motions and walking. The method comprises two sub-algorithms: pre-quality checking and motion artifac...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-07-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/13/6180 |
| _version_ | 1827734508143640576 |
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| author | Smriti Thakur Paul C.-P. Chao Cheng-Han Tsai |
| author_facet | Smriti Thakur Paul C.-P. Chao Cheng-Han Tsai |
| author_sort | Smriti Thakur |
| collection | DOAJ |
| description | A new method for accurately estimating heart rates based on a single photoplethysmography (PPG) signal and accelerations is proposed in this study, considering motion artifacts due to subjects’ hand motions and walking. The method comprises two sub-algorithms: pre-quality checking and motion artifact removal (MAR) via Hankel decomposition. PPGs and accelerations were collected using a wearable device equipped with a PPG sensor patch and a 3-axis accelerometer. The motion artifacts caused by hand movements and walking were effectively mitigated by the two aforementioned sub-algorithms. The first sub-algorithm utilized a new quality-assessment criterion to identify highly noise-contaminated PPG signals and exclude them from subsequent processing. The second sub-algorithm employed the Hankel matrix and singular value decomposition (SVD) to effectively identify, decompose, and remove motion artifacts. Experimental data collected during hand-moving and walking were considered for evaluation. The performance of the proposed algorithms was assessed using the datasets from the IEEE Signal Processing Cup 2015. The obtained results demonstrated an average error of merely 0.7345 ± 8.1129 beats per minute (bpm) and a mean absolute error of 1.86 bpm for walking, making it the second most accurate method to date that employs a single PPG and a 3-axis accelerometer. The proposed method also achieved the best accuracy of 3.78 bpm in mean absolute errors among all previously reported studies for hand-moving scenarios. |
| first_indexed | 2024-03-11T01:28:38Z |
| format | Article |
| id | doaj.art-b476f9d8f7e64217892aba3fb28e0f13 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T01:28:38Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-b476f9d8f7e64217892aba3fb28e0f132023-11-18T17:31:45ZengMDPI AGSensors1424-82202023-07-012313618010.3390/s23136180Precision Heart Rate Estimation Using a PPG Sensor Patch Equipped with New Algorithms of Pre-Quality Checking and Hankel DecompositionSmriti Thakur0Paul C.-P. Chao1Cheng-Han Tsai2Department of Electronics and Electrical Engineering, National Yang Ming Chiao Tung University, Hsinchu 300, TaiwanDepartment of Electronics and Electrical Engineering, National Yang Ming Chiao Tung University, Hsinchu 300, TaiwanDepartment of Electronics and Electrical Engineering, National Yang Ming Chiao Tung University, Hsinchu 300, TaiwanA new method for accurately estimating heart rates based on a single photoplethysmography (PPG) signal and accelerations is proposed in this study, considering motion artifacts due to subjects’ hand motions and walking. The method comprises two sub-algorithms: pre-quality checking and motion artifact removal (MAR) via Hankel decomposition. PPGs and accelerations were collected using a wearable device equipped with a PPG sensor patch and a 3-axis accelerometer. The motion artifacts caused by hand movements and walking were effectively mitigated by the two aforementioned sub-algorithms. The first sub-algorithm utilized a new quality-assessment criterion to identify highly noise-contaminated PPG signals and exclude them from subsequent processing. The second sub-algorithm employed the Hankel matrix and singular value decomposition (SVD) to effectively identify, decompose, and remove motion artifacts. Experimental data collected during hand-moving and walking were considered for evaluation. The performance of the proposed algorithms was assessed using the datasets from the IEEE Signal Processing Cup 2015. The obtained results demonstrated an average error of merely 0.7345 ± 8.1129 beats per minute (bpm) and a mean absolute error of 1.86 bpm for walking, making it the second most accurate method to date that employs a single PPG and a 3-axis accelerometer. The proposed method also achieved the best accuracy of 3.78 bpm in mean absolute errors among all previously reported studies for hand-moving scenarios.https://www.mdpi.com/1424-8220/23/13/6180heart rate (HR)photoplethysmogram (PPG)motion artifactnotch filterHankel matrixsingular value decomposition (SVD) |
| spellingShingle | Smriti Thakur Paul C.-P. Chao Cheng-Han Tsai Precision Heart Rate Estimation Using a PPG Sensor Patch Equipped with New Algorithms of Pre-Quality Checking and Hankel Decomposition Sensors heart rate (HR) photoplethysmogram (PPG) motion artifact notch filter Hankel matrix singular value decomposition (SVD) |
| title | Precision Heart Rate Estimation Using a PPG Sensor Patch Equipped with New Algorithms of Pre-Quality Checking and Hankel Decomposition |
| title_full | Precision Heart Rate Estimation Using a PPG Sensor Patch Equipped with New Algorithms of Pre-Quality Checking and Hankel Decomposition |
| title_fullStr | Precision Heart Rate Estimation Using a PPG Sensor Patch Equipped with New Algorithms of Pre-Quality Checking and Hankel Decomposition |
| title_full_unstemmed | Precision Heart Rate Estimation Using a PPG Sensor Patch Equipped with New Algorithms of Pre-Quality Checking and Hankel Decomposition |
| title_short | Precision Heart Rate Estimation Using a PPG Sensor Patch Equipped with New Algorithms of Pre-Quality Checking and Hankel Decomposition |
| title_sort | precision heart rate estimation using a ppg sensor patch equipped with new algorithms of pre quality checking and hankel decomposition |
| topic | heart rate (HR) photoplethysmogram (PPG) motion artifact notch filter Hankel matrix singular value decomposition (SVD) |
| url | https://www.mdpi.com/1424-8220/23/13/6180 |
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