Schäck, T. ; Sledz, C. ; Muma, M. ; Zoubir, A. M. (2015)
A new method for heart rate monitoring during physical exercise using photoplethysmographic signals.
European Signal Processing Conference 2015 (EUSIPCO 2015).
doi: 10.1109/EUSIPCO.2015.7362868
Conference or Workshop Item, Bibliographie
Abstract
Accurate and reliable estimation of the heart rate using wearable devices, especially during physical exercise, must deal with noisy signals that contain motion artifacts. We present an approach that is based on photoplethysmographic (PPG) signals which are measured with two wrist-type pulse oximeters. The heart rate is related to intensity changes of the reflected light. Our proposed method suppresses the motion artifacts by adaptively estimating the transfer functions of each of the three-axis acceleration signals that produce the artifacts in the PPG signals. We combined the output of the six adaptive filters into a single enhanced time-frequency domain signal based on which we track the heart rate with a high accuracy. Our approach is real-time capable, computationally efficient and real data results for a benchmark data set illustrate the superior performance compared to a recently proposed approach.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2015 |
| Creators: | Schäck, T. ; Sledz, C. ; Muma, M. ; Zoubir, A. M. |
| Type of entry: | Bibliographie |
| Title: | A new method for heart rate monitoring during physical exercise using photoplethysmographic signals |
| Language: | German |
| Date: | August 2015 |
| Place of Publication: | Nice, France |
| Event Title: | European Signal Processing Conference 2015 (EUSIPCO 2015) |
| DOI: | 10.1109/EUSIPCO.2015.7362868 |
| Corresponding Links: | |
| Abstract: | Accurate and reliable estimation of the heart rate using wearable devices, especially during physical exercise, must deal with noisy signals that contain motion artifacts. We present an approach that is based on photoplethysmographic (PPG) signals which are measured with two wrist-type pulse oximeters. The heart rate is related to intensity changes of the reflected light. Our proposed method suppresses the motion artifacts by adaptively estimating the transfer functions of each of the three-axis acceleration signals that produce the artifacts in the PPG signals. We combined the output of the six adaptive filters into a single enhanced time-frequency domain signal based on which we track the heart rate with a high accuracy. Our approach is real-time capable, computationally efficient and real data results for a benchmark data set illustrate the superior performance compared to a recently proposed approach. |
| Uncontrolled Keywords: | Photoplethysmography (PPG); Heart Rate Monitoring; Adaptive Filters; Accelerometer; Time-Frequency; Noise Reduction; Motion Artifacts |
| Divisions: | 18 Department of Electrical Engineering and Information Technology 18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications 18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications > Robust Data Science 18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications > Signal Processing |
| Date Deposited: | 23 Feb 2015 12:12 |
| Last Modified: | 02 Feb 2023 09:52 |
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