Motion Artifact Reduction for Wrist-Worn Photoplethysmograph Sensors Based on Different Wavelengths
Long-term heart rate (HR) monitoring by wrist-worn photoplethysmograph (PPG) sensors enables the assessment of health conditions during daily life with high user comfort. However, PPG signals are vulnerable to motion artifacts (MAs), which significantly affect the accuracy of estimated physiological...
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| Vydáno v: | Sensors (Basel, Switzerland) Ročník 19; číslo 3; s. 673 |
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07.02.2019
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| Abstract | Long-term heart rate (HR) monitoring by wrist-worn photoplethysmograph (PPG) sensors enables the assessment of health conditions during daily life with high user comfort. However, PPG signals are vulnerable to motion artifacts (MAs), which significantly affect the accuracy of estimated physiological parameters such as HR. This paper proposes a novel modular algorithm framework for MA removal based on different wavelengths for wrist-worn PPG sensors. The framework uses a green PPG signal for HR monitoring and an infrared PPG signal as the motion reference. The proposed framework includes four main steps: motion detection, motion removal using continuous wavelet transform, approximate HR estimation and signal reconstruction. The proposed algorithm is evaluated against an electrocardiogram (ECG) in terms of HR error for a dataset of 6 healthy subjects performing 21 types of motion. The proposed MA removal method reduced the average error in HR estimation from 4.3, 3.0 and 3.8 bpm to 0.6, 1.0 and 2.1 bpm in periodic, random, and continuous non-periodic motion situations, respectively. |
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| AbstractList | Long-term heart rate (HR) monitoring by wrist-worn photoplethysmograph (PPG) sensors enables the assessment of health conditions during daily life with high user comfort. However, PPG signals are vulnerable to motion artifacts (MAs), which significantly affect the accuracy of estimated physiological parameters such as HR. This paper proposes a novel modular algorithm framework for MA removal based on different wavelengths for wrist-worn PPG sensors. The framework uses a green PPG signal for HR monitoring and an infrared PPG signal as the motion reference. The proposed framework includes four main steps: motion detection, motion removal using continuous wavelet transform, approximate HR estimation and signal reconstruction. The proposed algorithm is evaluated against an electrocardiogram (ECG) in terms of HR error for a dataset of 6 healthy subjects performing 21 types of motion. The proposed MA removal method reduced the average error in HR estimation from 4.3, 3.0 and 3.8 bpm to 0.6, 1.0 and 2.1 bpm in periodic, random, and continuous non-periodic motion situations, respectively. Long-term heart rate (HR) monitoring by wrist-worn photoplethysmograph (PPG) sensors enables the assessment of health conditions during daily life with high user comfort. However, PPG signals are vulnerable to motion artifacts (MAs), which significantly affect the accuracy of estimated physiological parameters such as HR. This paper proposes a novel modular algorithm framework for MA removal based on different wavelengths for wrist-worn PPG sensors. The framework uses a green PPG signal for HR monitoring and an infrared PPG signal as the motion reference. The proposed framework includes four main steps: motion detection, motion removal using continuous wavelet transform, approximate HR estimation and signal reconstruction. The proposed algorithm is evaluated against an electrocardiogram (ECG) in terms of HR error for a dataset of 6 healthy subjects performing 21 types of motion. The proposed MA removal method reduced the average error in HR estimation from 4.3, 3.0 and 3.8 bpm to 0.6, 1.0 and 2.1 bpm in periodic, random, and continuous non-periodic motion situations, respectively.Long-term heart rate (HR) monitoring by wrist-worn photoplethysmograph (PPG) sensors enables the assessment of health conditions during daily life with high user comfort. However, PPG signals are vulnerable to motion artifacts (MAs), which significantly affect the accuracy of estimated physiological parameters such as HR. This paper proposes a novel modular algorithm framework for MA removal based on different wavelengths for wrist-worn PPG sensors. The framework uses a green PPG signal for HR monitoring and an infrared PPG signal as the motion reference. The proposed framework includes four main steps: motion detection, motion removal using continuous wavelet transform, approximate HR estimation and signal reconstruction. The proposed algorithm is evaluated against an electrocardiogram (ECG) in terms of HR error for a dataset of 6 healthy subjects performing 21 types of motion. The proposed MA removal method reduced the average error in HR estimation from 4.3, 3.0 and 3.8 bpm to 0.6, 1.0 and 2.1 bpm in periodic, random, and continuous non-periodic motion situations, respectively. |
| Author | van Hoof, Chris Zhang, Yifan Song, Shuang Simões-Capela, Neide van Helleputte, Nick Vullings, Rik Groenendaal, Willemijn Biswas, Dwaipayan |
| AuthorAffiliation | 2 Department of Electrical Engineering, Eindhoven University of Technology, 5600MB Eindhoven, The Netherlands; r.vullings@tue.nl 1 Holst Centre/imec, 5656AE Eindhoven, The Netherlands; z.yifan1@gmail.com 4 Department of Electrical Engineering, KU Leuven, 3001 Leuven, Belgium 3 imec vzw, 3001 Leuven, Belgium; dwaipayan.biswas@imec.be (D.B.); neide.simoescapela@kuleuven.be (N.S.-C.); nick.vanhelleputte@imec.be (N.v.H.); chris.vanhoof@imec.be (C.v.H.) |
| AuthorAffiliation_xml | – name: 2 Department of Electrical Engineering, Eindhoven University of Technology, 5600MB Eindhoven, The Netherlands; r.vullings@tue.nl – name: 3 imec vzw, 3001 Leuven, Belgium; dwaipayan.biswas@imec.be (D.B.); neide.simoescapela@kuleuven.be (N.S.-C.); nick.vanhelleputte@imec.be (N.v.H.); chris.vanhoof@imec.be (C.v.H.) – name: 4 Department of Electrical Engineering, KU Leuven, 3001 Leuven, Belgium – name: 1 Holst Centre/imec, 5656AE Eindhoven, The Netherlands; z.yifan1@gmail.com |
| Author_xml | – sequence: 1 givenname: Yifan surname: Zhang fullname: Zhang, Yifan – sequence: 2 givenname: Shuang surname: Song fullname: Song, Shuang – sequence: 3 givenname: Rik surname: Vullings fullname: Vullings, Rik – sequence: 4 givenname: Dwaipayan surname: Biswas fullname: Biswas, Dwaipayan – sequence: 5 givenname: Neide surname: Simões-Capela fullname: Simões-Capela, Neide – sequence: 6 givenname: Nick orcidid: 0000-0002-7511-1923 surname: van Helleputte fullname: van Helleputte, Nick – sequence: 7 givenname: Chris surname: van Hoof fullname: van Hoof, Chris – sequence: 8 givenname: Willemijn surname: Groenendaal fullname: Groenendaal, Willemijn |
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| Cites_doi | 10.3390/data2010001 10.1109/JSEN.2018.2801385 10.1109/JSEN.2018.2879970 10.3390/s17020385 10.1109/JBHI.2016.2632201 10.1109/EIT.2011.5978571 10.1109/JBHI.2013.2264358 10.1109/TBME.2015.2476337 10.1016/j.icte.2016.11.003 10.1109/TBME.2015.2406332 10.1109/EMBC.2015.7318655 10.1088/1361-6579/aa506e 10.1109/TBCAS.2007.910900 10.1371/journal.pone.0091205 10.1109/TIM.2011.2175832 10.1109/TBME.2014.2359372 10.1109/EMBC.2015.7319795 |
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| References | Zhang (ref_3) 2015; 62 Lee (ref_19) 2018; 18 ref_14 ref_13 ref_12 ref_11 ref_10 Yousefi (ref_15) 2014; 18 Wang (ref_18) 2007; 1 Casson (ref_5) 2016; 24 Sun (ref_1) 2016; 63 Lee (ref_7) 2019; 19 Zhang (ref_2) 2015; 62 Ram (ref_21) 2012; 61 ref_25 ref_24 ref_23 ref_22 Lee (ref_9) 2017; 17 ref_20 Chowdhury (ref_17) 2016; 22 ref_8 ref_4 ref_6 Fallet (ref_16) 2017; 38 |
| References_xml | – ident: ref_6 doi: 10.3390/data2010001 – ident: ref_11 – volume: 18 start-page: 2983 year: 2018 ident: ref_19 article-title: Wearable Multichannel Photoplethysmography Framework for Heart Rate Monitoring During Intensive Exercise publication-title: IEEE Sens. J. doi: 10.1109/JSEN.2018.2801385 – volume: 19 start-page: 1166 year: 2019 ident: ref_7 article-title: Motion Artifact Cancellation in Wearable Photoplethysmography Using Gyroscope publication-title: IEEE Sens. J. doi: 10.1109/JSEN.2018.2879970 – ident: ref_14 – ident: ref_23 – ident: ref_20 doi: 10.3390/s17020385 – volume: 22 start-page: 450 year: 2016 ident: ref_17 article-title: Real-Time Robust Heart Rate Estimation From Wrist-Type PPG Signals Using Multiple Reference Adaptive Noise Cancellation publication-title: IEEE J. Biomed. Health Inf. doi: 10.1109/JBHI.2016.2632201 – ident: ref_25 doi: 10.1109/EIT.2011.5978571 – ident: ref_8 – volume: 18 start-page: 670 year: 2014 ident: ref_15 article-title: A Motion-Tolerant Adaptive Algorithm for Wearable Photoplethysmographic Biosensors publication-title: IEEE J. Biomed. Health Inf. doi: 10.1109/JBHI.2013.2264358 – volume: 63 start-page: 463 year: 2016 ident: ref_1 article-title: Photoplethysmography revisited: from contact to noncontact, from point to imaging publication-title: IEEE Trans. Biomed. Eng. doi: 10.1109/TBME.2015.2476337 – volume: 24 start-page: 175 year: 2016 ident: ref_5 article-title: Gyroscope vs. accelerometer measurements of motion from wrist PPG during physical exercise publication-title: ICT Express doi: 10.1016/j.icte.2016.11.003 – volume: 17 start-page: 587 year: 2017 ident: ref_9 article-title: Wearable photoplethysmographic sensor based on different LED light intensities publication-title: IEEE Sens. J. – volume: 62 start-page: 1902 year: 2015 ident: ref_3 article-title: Photoplethysmography-based heart rate monitoring in physical activities via joint sparse spectrum reconstruction publication-title: IEEE Trans. Biomed. Eng. doi: 10.1109/TBME.2015.2406332 – ident: ref_24 doi: 10.1109/EMBC.2015.7318655 – volume: 38 start-page: 155 year: 2017 ident: ref_16 article-title: Robust heart rate estimation using wrist-type photoplethysmographic signals during physical exercise: An approach based on adaptive filtering publication-title: Physiol. Meas. doi: 10.1088/1361-6579/aa506e – volume: 1 start-page: 235 year: 2007 ident: ref_18 article-title: Multichannel reflective PPG earpiece sensor with passive motion cancellation publication-title: IEEE Trans. Biomed. Circuits Syst. doi: 10.1109/TBCAS.2007.910900 – ident: ref_10 – ident: ref_12 doi: 10.1371/journal.pone.0091205 – volume: 61 start-page: 1445 year: 2012 ident: ref_21 article-title: A novel approach for motion artifact reduction in PPG signals based on AS-LMS adaptive filter publication-title: IEEE Trans. Instrum. Meas. doi: 10.1109/TIM.2011.2175832 – ident: ref_13 – volume: 62 start-page: 522 year: 2015 ident: ref_2 article-title: TROIKA: A general framework for heart rate monitoring using wrist-type photoplethysmographic signals during intensive physical exercise publication-title: IEEE Trans. Biomed. Eng. doi: 10.1109/TBME.2014.2359372 – ident: ref_22 – ident: ref_4 doi: 10.1109/EMBC.2015.7319795 |
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| Title | Motion Artifact Reduction for Wrist-Worn Photoplethysmograph Sensors Based on Different Wavelengths |
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