Adaptive Noise Reduction Algorithm to Improve R Peak Detection in ECG Measured by Capacitive ECG Sensors
Electrocardiograms (ECGs) can be conveniently obtained using capacitive ECG sensors. However, motion noise in measured ECGs can degrade R peak detection. To reduce noise, properties of reference signal and ECG measured by the sensors are analyzed and a new method of active noise cancellation (ANC) i...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-06-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/18/7/2086 |
| _version_ | 1798025718872932352 |
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| author | Minseok Seo Minho Choi Jun Seong Lee Sang Woo Kim |
| author_facet | Minseok Seo Minho Choi Jun Seong Lee Sang Woo Kim |
| author_sort | Minseok Seo |
| collection | DOAJ |
| description | Electrocardiograms (ECGs) can be conveniently obtained using capacitive ECG sensors. However, motion noise in measured ECGs can degrade R peak detection. To reduce noise, properties of reference signal and ECG measured by the sensors are analyzed and a new method of active noise cancellation (ANC) is proposed in this study. In the proposed algorithm, the original ECG signal at QRS interval is regarded as impulsive noise because the adaptive filter updates its weight as if impulsive noise is added. As the proposed algorithm does not affect impulsive noise, the original signal is not reduced during ANC. Therefore, the proposed algorithm can conserve the power of the original signal within the QRS interval and reduce only the power of noise at other intervals. The proposed algorithm was verified through comparisons with recent research using data from both indoor and outdoor experiments. The proposed algorithm will benefit a noise reduction of noisy biomedical signal measured from sensors. |
| first_indexed | 2024-04-11T18:23:22Z |
| format | Article |
| id | doaj.art-9552c0813693411aaa198c67df73ca28 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T18:23:22Z |
| publishDate | 2018-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-9552c0813693411aaa198c67df73ca282022-12-22T04:09:43ZengMDPI AGSensors1424-82202018-06-01187208610.3390/s18072086s18072086Adaptive Noise Reduction Algorithm to Improve R Peak Detection in ECG Measured by Capacitive ECG SensorsMinseok Seo0Minho Choi1Jun Seong Lee2Sang Woo Kim3Department of Electrical Engineering, Pohang University of Science and Technology, Pohang 37673, KoreaDepartment of Creative IT Engineering and Future IT Innovation Laboratory, Pohang University of Science and Technology, Pohang 37673, KoreaDepartment of Electrical Engineering, Pohang University of Science and Technology, Pohang 37673, KoreaDepartment of Electrical Engineering, Pohang University of Science and Technology, Pohang 37673, KoreaElectrocardiograms (ECGs) can be conveniently obtained using capacitive ECG sensors. However, motion noise in measured ECGs can degrade R peak detection. To reduce noise, properties of reference signal and ECG measured by the sensors are analyzed and a new method of active noise cancellation (ANC) is proposed in this study. In the proposed algorithm, the original ECG signal at QRS interval is regarded as impulsive noise because the adaptive filter updates its weight as if impulsive noise is added. As the proposed algorithm does not affect impulsive noise, the original signal is not reduced during ANC. Therefore, the proposed algorithm can conserve the power of the original signal within the QRS interval and reduce only the power of noise at other intervals. The proposed algorithm was verified through comparisons with recent research using data from both indoor and outdoor experiments. The proposed algorithm will benefit a noise reduction of noisy biomedical signal measured from sensors.http://www.mdpi.com/1424-8220/18/7/2086active noise cancellationaffine projection sign algorithmnoisy signalmotion artifactsQRS intervalSNR |
| spellingShingle | Minseok Seo Minho Choi Jun Seong Lee Sang Woo Kim Adaptive Noise Reduction Algorithm to Improve R Peak Detection in ECG Measured by Capacitive ECG Sensors Sensors active noise cancellation affine projection sign algorithm noisy signal motion artifacts QRS interval SNR |
| title | Adaptive Noise Reduction Algorithm to Improve R Peak Detection in ECG Measured by Capacitive ECG Sensors |
| title_full | Adaptive Noise Reduction Algorithm to Improve R Peak Detection in ECG Measured by Capacitive ECG Sensors |
| title_fullStr | Adaptive Noise Reduction Algorithm to Improve R Peak Detection in ECG Measured by Capacitive ECG Sensors |
| title_full_unstemmed | Adaptive Noise Reduction Algorithm to Improve R Peak Detection in ECG Measured by Capacitive ECG Sensors |
| title_short | Adaptive Noise Reduction Algorithm to Improve R Peak Detection in ECG Measured by Capacitive ECG Sensors |
| title_sort | adaptive noise reduction algorithm to improve r peak detection in ecg measured by capacitive ecg sensors |
| topic | active noise cancellation affine projection sign algorithm noisy signal motion artifacts QRS interval SNR |
| url | http://www.mdpi.com/1424-8220/18/7/2086 |
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