{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T19:04:13Z","timestamp":1772823853630,"version":"3.50.1"},"reference-count":24,"publisher":"MDPI AG","issue":"15","license":[{"start":{"date-parts":[[2019,7,28]],"date-time":"2019-07-28T00:00:00Z","timestamp":1564272000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the State Grid Science and Technology Project","award":["52199916024H"],"award-info":[{"award-number":["52199916024H"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>With photoplethysmograph (PPG) sensors showing increasing potential in wearable health monitoring, the challenging problem of motion artifact (MA) removal during intensive exercise has become a popular research topic. In this study, a novel method that combines heart rate frequency (HRF) estimation and notch filtering is proposed. The proposed method applies a cascaded adaptive noise cancellation (ANC) based on the least mean squares (LMS)-Newton algorithm for preliminary motion artifacts reduction, and further adopts special heart rate frequency tracking and correction schemes for accurate HRF estimation. Finally, notch filters are employed to restore the PPG signal with estimated HRF based on its quasi-periodicity. On an open source data set that features intensive running exercise, the proposed method achieves a competitive mean average absolute error (AAE) result of 0.92 bpm for HR estimation. The practical experiments are carried out with the PPG evaluation platform developed by ourselves. Under three different intensive motion patterns, a 0.89 bpm average AAE result is achieved with the average correlation coefficient between recovered PPG signal and reference PPG signal reaching 0.86. The experimental results demonstrate the effectiveness of the proposed method for accurate HR estimation and robust MA removal in PPG during intensive exercise.<\/jats:p>","DOI":"10.3390\/s19153312","type":"journal-article","created":{"date-parts":[[2019,7,29]],"date-time":"2019-07-29T03:06:58Z","timestamp":1564369618000},"page":"3312","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":33,"title":["Removal of Motion Artifacts in Photoplethysmograph Sensors during Intensive Exercise for Accurate Heart Rate Calculation Based on Frequency Estimation and Notch Filtering"],"prefix":"10.3390","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0972-8810","authenticated-orcid":false,"given":"Min","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Micro\/Nano Electronics, Shanghai Jiao Tong University, Shanghai 200240, China"}]},{"given":"Zhe","family":"Li","sequence":"additional","affiliation":[{"name":"Academy of Information Technology and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China"}]},{"given":"Qirui","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Micro\/Nano Electronics, Shanghai Jiao Tong University, Shanghai 200240, China"},{"name":"Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109, USA"}]},{"given":"Guoxing","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Micro\/Nano Electronics, Shanghai Jiao Tong University, Shanghai 200240, China"}]}],"member":"1968","published-online":{"date-parts":[[2019,7,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"R1","DOI":"10.1088\/0967-3334\/28\/3\/R01","article-title":"Photoplethysmography and its application in clinical physiological measurement","volume":"28","author":"Allen","year":"2007","journal-title":"Physio. Meas."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Ahmadi, A.K., Moradi, P., Malihi, M., Karimi, S., and Shamsollahi, M.B. (2015, January 25\u201329). Heart rate monitoring during physical exercise using wrist-type photoplethysmographic (PPG) signals. Proceedings of the 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, Italy.","DOI":"10.1109\/EMBC.2015.7319800"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Wood, L.B., and Asada, H.H. (September, January 30). Noise cancellation model validation for reduced motion artifact wearable PPG sensors using MEMS accelerometers. Proceedings of the 2006 International Conference of the IEEE Engineering in Medicine and Biology Society, New York, NY, USA.","DOI":"10.1109\/IEMBS.2006.260359"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1109\/TBME.2016.2553060","article-title":"Reduction of periodic motion artifacts in photoplethysmography","volume":"64","author":"Wijshoff","year":"2017","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Naraharisetti, K.V.P., Bawa, M., and Tahernezhadi, M. (2011, January 15\u201317). Comparison of different signal processing methods for reducing artifacts from photoplethysmograph signal. Proceedings of the 2011 IEEE International Conference on Electronic and Information Technology, Mankato, MN, USA.","DOI":"10.1109\/EIT.2011.5978571"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"566","DOI":"10.1109\/TBME.2005.869784","article-title":"Motion Artifact reduction in photoplethysmography using independent component analysis","volume":"53","author":"Kim","year":"2006","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_7","unstructured":"Yao, J., and Warren, S. (2005, January 1\u20134). A short study to assess the potential of independent component analysis for motion artifact separation in wearable pulse oximeter signals. Proceedings of the 27th Annual Conference of the IEEE Engineering in Medicine and Biology, Shanghai, China."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"T\u0103u\u0163an, A.M., Young, A., Wentink, E., and Wieringa, F. (2015, January 25\u201329). Characterization and reduction of motion artifacts in photoplethysmographic signals from a wrist-worn device. Proceedings of the 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, Italy.","DOI":"10.1109\/EMBC.2015.7319795"},{"key":"ref_9","unstructured":"Wang, Q., Yang, P., and Zhang, Y. (September, January 31). Artifact reduction based on empirical mode decomposition (EMD) in photoplethysmography for pulse rate detection. Proceedings of the 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, Buenos Aires, Argentina."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1867","DOI":"10.1109\/TBME.2009.2039568","article-title":"Two-stage approach for detection and reduction of motion artifacts in photoplethysmographic data","volume":"57","author":"Krishnan","year":"2010","journal-title":"IEEE Trans. Biomed Eng."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1445","DOI":"10.1109\/TIM.2011.2175832","article-title":"Measurement. A Novel Approach for Motion Artifact Reduction in PPG Signals based on AS-LMS Adaptive Filter","volume":"61","author":"Ram","year":"2012","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"522","DOI":"10.1109\/TBME.2014.2359372","article-title":"TROIKA: A general framework for heart rate monitoring using wrist-type photoplethysmographic signals during intensive physical exercise","volume":"62","author":"Zhang","year":"2015","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"7133","DOI":"10.1109\/JSEN.2016.2597265","article-title":"Combining nonlinear adaptive filtering and signal decomposition for motion artifact removal in wearable photoplethysmography","volume":"16","author":"Ye","year":"2016","journal-title":"IEEE Sens. J."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"550","DOI":"10.1109\/TBME.2015.2466075","article-title":"A robust heart rate monitoring scheme using photoplethysmographic signals corrupted by intense motion artifacts","volume":"63","author":"Khan","year":"2015","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"2016","DOI":"10.1109\/TBME.2017.2676243","article-title":"Accurate heart rate monitoring during physical exercises using PPG","volume":"64","author":"Temko","year":"2017","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_16","unstructured":"Lee, B., Kee, Y., Han, J., and Yi, W.J. (September, January 30). Adaptive comb filtering for motion artifact reduction from PPG with a structure of adaptive lattice IIR notch filter. Proceedings of the 33rd International Conference of the IEEE Engineering in Medicine and Biology Society, Boston, MA, USA."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1692","DOI":"10.1109\/PROC.1975.10036","article-title":"Adaptive noise cancelling: principles and applications","volume":"63","author":"Widrow","year":"1975","journal-title":"Proc. IEEE"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"617","DOI":"10.1109\/78.370617","article-title":"Analysis of lms-newton adaptive filtering algorithms with variable convergence factor","volume":"43","author":"Diniz","year":"1995","journal-title":"IEEE Trans. Signal Process."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"2673","DOI":"10.1109\/78.960414","article-title":"Stable IIR notch filter design with optimal pole placement","volume":"49","author":"Tseng","year":"2001","journal-title":"IEEE Trans. Signal Proc."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"3076","DOI":"10.1109\/ACCESS.2016.2580594","article-title":"Spectral Matrix Decomposition-based Motion Artifacts Removal in Multi-channel PPG Sensor Signals","volume":"4","author":"Xiong","year":"2016","journal-title":"IEEE Access"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"450","DOI":"10.1109\/JBHI.2016.2632201","article-title":"Real-time robust heart rate estimation from wrist-type PPG signals using multiple reference adaptive noise cancellation","volume":"22","author":"Chowdhury","year":"2018","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1007\/s12652-016-0422-z","article-title":"Harmonic sum-based method for heart rate estimation using PPG signals affected with motion artifacts","volume":"9","author":"Dubey","year":"2018","journal-title":"J. Ambient Intell. Humaniz. Comput."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1016\/S0140-6736(86)90837-8","article-title":"Statistical methods for assessing agreement between two methods of clinical measurement","volume":"327","author":"Bland","year":"1986","journal-title":"Lancet"},{"key":"ref_24","unstructured":"Asada, H.H., Jiang, H.H., and Gibbs, P. (2004, January 1\u20135). Active noise cancellation using MEMS accelerometers for motion-tolerant wearable bio-sensors. Proceedings of The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, San Francisco, CA, USA."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/19\/15\/3312\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T13:10:32Z","timestamp":1760188232000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/19\/15\/3312"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7,28]]},"references-count":24,"journal-issue":{"issue":"15","published-online":{"date-parts":[[2019,8]]}},"alternative-id":["s19153312"],"URL":"https:\/\/doi.org\/10.3390\/s19153312","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,7,28]]}}}