{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T21:18:33Z","timestamp":1783027113401,"version":"3.54.6"},"reference-count":50,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2020,3,7]],"date-time":"2020-03-07T00:00:00Z","timestamp":1583539200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>A motion artefact is a kind of noise that exists widely in wearable electrocardiogram (ECG) monitoring. Reducing motion artefact is challenging in ECG signal preprocessing because the spectrum of motion artefact usually overlaps with the very important spectral components of the ECG signal. In this paper, the performance of the finite impulse response (FIR) filter, infinite impulse response (IIR) filter, moving average filter, moving median filter, wavelet transform, empirical mode decomposition, and adaptive filter in motion artefact reduction is studied and compared. The results of this study demonstrate that the adaptive filter performs better than other denoising methods, especially in dealing with the abnormal ECG signal which is measured from a patient with heart disease. In the implementation of adaptive motion artefact reduction, the results show that the use of the impedance pneumography signal as the reference input signal for the adaptive filter can effectively reduce the motion artefact in the ECG signal.<\/jats:p>","DOI":"10.3390\/s20051468","type":"journal-article","created":{"date-parts":[[2020,3,9]],"date-time":"2020-03-09T05:37:34Z","timestamp":1583732254000},"page":"1468","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":63,"title":["Comparison of Motion Artefact Reduction Methods and the Implementation of Adaptive Motion Artefact Reduction in Wearable Electrocardiogram Monitoring"],"prefix":"10.3390","volume":"20","author":[{"given":"Xiang","family":"An","sequence":"first","affiliation":[{"name":"Research Institute for Flexible Materials, Heriot-Watt University, Edinburgh, Scotland EH14 4AS, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7911-1058","authenticated-orcid":false,"given":"George","family":"K. Stylios","sequence":"additional","affiliation":[{"name":"Research Institute for Flexible Materials, Heriot-Watt University, Edinburgh, Scotland EH14 4AS, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,3,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2335","DOI":"10.1109\/TCSI.2005.854141","article-title":"A CMOS analog front-end IC for portable EEG\/ECG monitoring applications","volume":"52","author":"Ng","year":"2005","journal-title":"IEEE Trans. Circuits Syst. I Regul. Pap."},{"key":"ref_2","first-page":"671","article-title":"Filtering techniques for ECG signal processing","volume":"2","author":"Nayak","year":"2012","journal-title":"Int. J. Res. Eng. Appl. Sci."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"306","DOI":"10.1097\/00004669-197807000-00017","article-title":"Medical Instrumentation-Application and Design","volume":"3","author":"Webster","year":"1978","journal-title":"J. Clin. Eng."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1109\/TBME.1977.326117","article-title":"Minimizing Electrode Motion Artifact by Skin Abrasion","volume":"2","author":"Tam","year":"1977","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Kaur, M., and Singh, B. (2011). Comparison of different approaches for removal of baseline wander from ECG signal. Proc. Int. Conf. Workshop Emerg. Trends Technol., 1290\u20131294.","DOI":"10.1145\/1980022.1980307"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1016\/j.procs.2014.08.048","article-title":"Performance study of different denoising methods for ECG signals","volume":"37","author":"AlMahamdy","year":"2014","journal-title":"Procedia Comput. Sci."},{"key":"ref_7","unstructured":"Romero, F.P., Romaguera, L.V., V\u00e1zquez-Seisdedos, C.R., Costa, M.G.F., and Neto, J.E. (2018). Baseline wander removal methods for ECG signals: A comparative study. arXiv."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Lenis, G., Pilia, N., Loewe, A., Schulze, W.H., and D\u00f6ssel, O. (2017). Comparison of baseline wander removal techniques considering the preservation of ST changes in the ischemic ECG: A simulation study. Comput. Math. Methods Med., 2017.","DOI":"10.1155\/2017\/9295029"},{"key":"ref_9","first-page":"16","article-title":"Different techniques to remove baseline wander from ECG signal","volume":"2","author":"Jayant","year":"2013","journal-title":"Int. J. Emerg. Res. Manag.Technol."},{"key":"ref_10","unstructured":"Chavan, M.S., Agarwala, R.A., and Uplane, M.D. (2008, January 6\u20138). Suppression of noise in the ECG signal using digital IIR filter. Proceedings of the 8th WSEAS International Conference on MULTIMEDIA SYSTEMS and SIGNAL PROCESSING (MUSP \u201908), Hangzhou, China."},{"key":"ref_11","first-page":"1052","article-title":"Removal of base-line wander and power-line interference from the ECG by an efficient FIR filter with a reduced number of taps","volume":"12","author":"Schilder","year":"1985","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1016\/0002-8703(82)90524-5","article-title":"Frequency response characteristics of ambulatory ECG monitoring systems and their implications for ST segment analysis","volume":"103","author":"Anderson","year":"1982","journal-title":"Am. Heart J."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"779","DOI":"10.1016\/0002-8703(66)90599-0","article-title":"The low-frequency response of electrocardiographs, a frequent source of recording errors","volume":"71","author":"Berson","year":"1966","journal-title":"Am. Heart J."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Buend\u00eda-Fuentes, F., Arnau-Vives, M.A., Arnau-Vives, A., Jim\u00e9nez-Jim\u00e9nez, Y., Rueda-Soriano, J., Zorio-Grima, E., Osa-S\u00e1ez, A., Mart\u00ednez-Dolz, L.V., Almenar-Bonet, L., and Palencia-P\u00e9rez, M.A. (2012). High-bandpass filters in electrocardiography: Source of error in the interpretation of the ST segment. ISRN Cardiol., 2012.","DOI":"10.5402\/2012\/706217"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1109","DOI":"10.1016\/j.jacc.2007.01.024","article-title":"Recommendations for the standardization and interpretation of the electrocardiogram: Part I: The electrocardiogram and its technology a scientific statement from the American Heart Association Electrocardiography and Arrhythmias Committee, Council on Clinical Cardiology; the American College of Cardiology Foundation; and the Heart Rhythm Society endorsed by the International Society for Computerized Electrocardiology","volume":"4","author":"Kligfield","year":"2007","journal-title":"J. Am. Coll. Cardiol."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1016\/0021-9290(93)90361-H","article-title":"A method for measuring mechanical work and work efficiency during human activities","volume":"26","author":"Sun","year":"1993","journal-title":"J. Biomech."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"781","DOI":"10.1016\/j.sigpro.2004.12.001","article-title":"ECG baseline wander and powerline interference reduction using nonlinear filter bank","volume":"85","author":"Henzel","year":"2005","journal-title":"Signal Process."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Chouhan, V.S., and Mehta, S.S. (2007, January 5\u20137). Total removal of baseline drift from ECG signal. Proceedings of the 2007 International Conference on Computing: Theory and Applications (ICCTA\u201907), Kolkata, India.","DOI":"10.1109\/ICCTA.2007.126"},{"key":"ref_19","unstructured":"Hao, W., Chen, Y., and Xin, Y. (September, January 30). ECG baseline wander correction by mean-median filter and discrete wavelet transform. Proceedings of the 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Boston, MA, USA."},{"key":"ref_20","first-page":"209","article-title":"Genetic algorithm and wavelet hybrid scheme for ECG signal denoising","volume":"4","year":"2011","journal-title":"Telecommun. Syst."},{"key":"ref_21","first-page":"2085","article-title":"ECG signal denoising using wavelet thresholding techniques in human stress assessment","volume":"4","author":"Karthikeyan","year":"2012","journal-title":"Int. J. Electr. Eng. Inform."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"275","DOI":"10.1016\/j.dsp.2005.12.003","article-title":"Optimal selection of wavelet basis function applied to ECG signal denoising","volume":"1","author":"Singh","year":"2006","journal-title":"Digit. Signal Process."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"276","DOI":"10.3844\/ajassp.2008.276.281","article-title":"ECG signal denoising by wavelet transform thresholding","volume":"5","author":"Alfaouri","year":"2008","journal-title":"Am. J. Appl. Sci."},{"key":"ref_24","unstructured":"Strasser, F., Muma, M., and Zoubir, A.M. (2012, January 27\u201331). Motion artifact removal in ECG signals using multi-resolution thresholding. Proceedings of the 20th European Signal Processing Conference (EUSIPCO), Bucharest, Romania."},{"key":"ref_25","unstructured":"Zhang, D. (2006, January 17\u201318). Wavelet approach for ECG baseline wander correction and noise reduction. Proceedings of the 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, Shanghai, China."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.compbiomed.2007.06.003","article-title":"ECG signal denoising and baseline wander correction based on the empirical mode decomposition","volume":"38","author":"Weng","year":"2008","journal-title":"Comput. Biol. Med."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Pan, N., Mang, V., and Un, M.P. (2007, January 12\u201314). Accurate removal of baseline wander in ECG using empirical mode decomposition. Proceedings of the 2007 Joint Meeting of the 6th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart and the International Conference on Functional Biomedical Imaging, Hangzhou, China.","DOI":"10.1109\/NFSI-ICFBI.2007.4387719"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Zhao, Z.-D., and Chen, Y.-Q. (2006, January 13\u201316). A new method for removal of baseline wander and power line interference in ECG signals. Proceedings of the 2006 International Conference on Machine Learning and Cybernetics, Dalian, China.","DOI":"10.1109\/ICMLC.2006.259082"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"481","DOI":"10.1016\/j.bspc.2011.11.003","article-title":"Denoising of ECG signals based on noise reduction algorithms in EMD and wavelet domains","volume":"7","author":"Kabir","year":"2012","journal-title":"Biomed. Signal Process. Control"},{"key":"ref_30","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_31","doi-asserted-by":"crossref","first-page":"730","DOI":"10.1161\/01.CIR.81.2.730","article-title":"Recommendations for standardization and specifications in automated electrocardiography: Bandwidth and digital signal processing. A report for health professionals by an ad hoc writing group of the Committee on Electrocardiography and Cardiac Electrophysiology of the Council on Clinical Cardiology, American Heart Association","volume":"81","author":"Bailey","year":"1990","journal-title":"Circulation"},{"key":"ref_32","unstructured":"Ifeachor, E.C., and Jervis, B.W. (2002). Digital Signal Processing: A Practical Approach, Pearson Education."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"988","DOI":"10.1109\/78.492552","article-title":"Determining the initial states in forward-backward filtering","volume":"44","author":"Gustafsson","year":"1996","journal-title":"IEEE Trans. Signal Process."},{"key":"ref_34","first-page":"125","article-title":"Powerline interference reduction in ECG using combination of MA method and IIR notch","volume":"2","author":"Kaur","year":"2009","journal-title":"Int. J. Recent Trends Eng."},{"key":"ref_35","unstructured":"Canan, S., Ozbay, Y., and Karlik, B. (1998, January 22\u201322). A method for removing low varying frequency trend from ECG signal. Proceedings of the 1998 2nd International Conference Biomedical Engineering Days, Istanbul, Turkey."},{"key":"ref_36","unstructured":"Lee, W.C., Yang, Y.S.O., Ke, T.C., Wei, C.S., and Lee, H.C. (2010, January 1\u20134). Adaptive reduction of motion artifact in a portable ECG system. Proceedings of the SENSORS, 2010 IEEE, Kona, HI, USA."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Seljuq, U., Himayun, F., and Rasheed, H. (2014, January 8\u201310). Selection of an optimal mother wavelet basis function for ECG signal denoising. Proceedings of the 17th IEEE International Multi Topic Conference 2014, Karachi, Pakistan.","DOI":"10.1109\/INMIC.2014.7096905"},{"key":"ref_38","unstructured":"Chaudhary, M.S., Kapoor, R.K., and Sharma, A.K. (2014, January 1\u20132). Comparison between different wavelet transforms and thresholding techniques for ECG denoising. Proceedings of the 2014 International Conference on Advances in Engineering & Technology Research (ICAETR - 2014), Unnao, India."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"903","DOI":"10.1098\/rspa.1998.0193","article-title":"The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis","volume":"454","author":"Huang","year":"1998","journal-title":"Proc. R. Soc. Lond."},{"key":"ref_40","first-page":"104","article-title":"Comparative study of ECG signal denoising by wavelet thresholding in empirical and variational mode decomposition domains","volume":"1","author":"Lahmiri","year":"2014","journal-title":"Healthc. Technol. Lett."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"e215","DOI":"10.1161\/01.CIR.101.23.e215","article-title":"PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals","volume":"101","author":"Goldberger","year":"2000","journal-title":"Circulation"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1109\/51.932724","article-title":"The impact of the MIT-BIH arrhythmia database","volume":"20","author":"Moody","year":"2001","journal-title":"IEEE Eng. Med. Biol. Mag."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"829","DOI":"10.1109\/LSP.2008.2007620","article-title":"Multiscale entropy-based weighted distortion measure for ECG coding","volume":"1","author":"Manikandan","year":"2008","journal-title":"IEEE Signal Process. Lett."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1016\/j.bspc.2007.09.003","article-title":"Wavelet threshold based TDL and TDR algorithms for real-time ECG signal compression","volume":"3","author":"Manikandan","year":"2008","journal-title":"Biomed. Signal Proc. Control"},{"key":"ref_45","unstructured":"Romero, I., Geng, D., and Berset, T. (2012, January 9\u201312). Adaptive filtering in ECG denoising: A comparative study. Proceedings of the 2012 Computing in Cardiology, Krakow, Poland."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"67","DOI":"10.5405\/jmbe.676","article-title":"Motion artifact reduction in electrocardiogram using adaptive filter","volume":"31","author":"Liu","year":"2011","journal-title":"J. Med Biol. Eng."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1007\/s10916-007-9112-x","article-title":"Adaptive motion artifacts reduction using 3-axis accelerometer in e-textile ECG measurement system","volume":"32","author":"Yoon","year":"2008","journal-title":"J. Med Syst."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"1019","DOI":"10.1007\/s11517-014-1201-7","article-title":"Adaptive motion artefact reduction in respiration and ECG signals for wearable healthcare monitoring systems","volume":"52","author":"Zhang","year":"2014","journal-title":"Med. Biol. Eng. Comput."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Pandey, V.K. (2010, January 3\u20135). Adaptive filtering for baseline wander removal in ECG. Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine, Corfu, Greece.","DOI":"10.1109\/ITAB.2010.5687642"},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"An, X., and Stylios, G. (2018). A Hybrid Textile Electrode for Electrocardiogram (ECG) Measurement and Motion Tracking. Materials, 11.","DOI":"10.3390\/ma11101887"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/20\/5\/1468\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T09:05:03Z","timestamp":1760173503000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/20\/5\/1468"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,3,7]]},"references-count":50,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2020,3]]}},"alternative-id":["s20051468"],"URL":"https:\/\/doi.org\/10.3390\/s20051468","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,3,7]]}}}