{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,30]],"date-time":"2026-10-30T18:19:29Z","timestamp":1793384369552,"version":"4.5.0"},"reference-count":44,"publisher":"IOP Publishing","issue":"2","license":[{"start":{"date-parts":[[2024,3,21]],"date-time":"2024-03-21T00:00:00Z","timestamp":1710979200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,3,21]],"date-time":"2024-03-21T00:00:00Z","timestamp":1710979200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/iopscience.iop.org\/info\/page\/text-and-data-mining"}],"funder":[{"name":"European Research Council","award":["101045605"],"award-info":[{"award-number":["101045605"]}]},{"DOI":"10.13039\/501100002341","name":"Academy of Finland","doi-asserted-by":"crossref","award":["333149"],"award-info":[{"award-number":["333149"]}],"id":[{"id":"10.13039\/501100002341","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["iopscience.iop.org"],"crossmark-restriction":false},"short-container-title":["J. Neural Eng."],"published-print":{"date-parts":[[2024,4,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    <jats:italic>Objective<\/jats:italic>\n                    . Neural interfacing via decomposition of high-density surface electromyography (HD-sEMG) should be robust to signal non-stationarities incurred by changes in joint pose and contraction intensity.\n                    <jats:italic>Approach<\/jats:italic>\n                    . We present an adaptive real-time motor unit decoding algorithm and test it on HD-sEMG collected from the extensor carpi radialis brevis during isometric contractions over a range of wrist angles and contraction intensities. The performance of the algorithm was verified using high-confidence benchmark decompositions derived from concurrently recorded intramuscular electromyography.\n                    <jats:italic>Main results<\/jats:italic>\n                    . In trials where contraction conditions between the initialization and testing data differed, the adaptive decoding algorithm maintained significantly higher decoding accuracies when compared to static decoding methods.\n                    <jats:italic>Significance<\/jats:italic>\n                    . Using \u201cgold standard\u201d verification techniques, we demonstrate the limitations of filter re-use decoding methods and show the necessity of parameter adaptation to achieve robust neural decoding.\n                  <\/jats:p>","DOI":"10.1088\/1741-2552\/ad33b0","type":"journal-article","created":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T18:43:10Z","timestamp":1710355390000},"page":"026012","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":24,"title":["Adaptive HD-sEMG decomposition: towards robust real-time decoding of neural drive"],"prefix":"10.1088","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9760-0752","authenticated-orcid":true,"given":"Dennis","family":"Yeung","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9094-8932","authenticated-orcid":false,"given":"Francesco","family":"Negro","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7394-9474","authenticated-orcid":true,"given":"Ivan","family":"Vujaklija","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"266","published-online":{"date-parts":[[2024,3,21]]},"reference":[{"key":"jnead33b0bib1","doi-asserted-by":"publisher","first-page":"285","DOI":"10.1113\/jphysiol.1973.sp010087","article-title":"The contractile properties of human motor units during voluntary isometric contractions","volume":"228","author":"Milner-Brown","year":"1973","journal-title":"J. Physiol."},{"key":"jnead33b0bib2","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1016\/j.brainres.2011.06.011","article-title":"Human motor unit recordings: Origins and insight into the integrated motor system","volume":"1409","author":"Duchateau","year":"2011","journal-title":"Brain Res."},{"key":"jnead33b0bib3","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1113\/jphysiol.1982.sp014293","article-title":"Behaviour of human motor units in different muscles during linearly varying contractions","volume":"329","author":"de Luca","year":"1982","journal-title":"J. Physiol."},{"key":"jnead33b0bib4","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1098\/rsta.2008.0235","article-title":"Analysis of intramuscular electromyogram signals","volume":"367","author":"Merletti","year":"2008","journal-title":"Phil. Trans. R. Soc. A"},{"key":"jnead33b0bib5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.jelekin.2007.04.001","article-title":"Automatic decomposition of multichannel intramuscular EMG signals","volume":"19","author":"Florestal","year":"2009","journal-title":"J. Electromyogr. Kinesiol."},{"key":"jnead33b0bib6","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2560\/8\/6\/066015","article-title":"Robust decomposition of single-channel intramuscular EMG signals at low force levels","volume":"8","author":"Marateb","year":"2011","journal-title":"J. Neural Eng."},{"key":"jnead33b0bib7","doi-asserted-by":"publisher","first-page":"4487","DOI":"10.1109\/TSP.2007.896108","article-title":"Multichannel blind source separation using convolution Kernel compensation","volume":"55","author":"Holobar","year":"2007","journal-title":"IEEE Trans. Signal Process."},{"key":"jnead33b0bib8","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2560\/13\/2\/026027","article-title":"Multi-channel intramuscular and surface EMG decomposition by convolutive blind source separation","volume":"13","author":"Negro","year":"2016","journal-title":"J. Neural Eng."},{"key":"jnead33b0bib9","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1109\/TNSRE.2015.2412038","article-title":"A Novel Framework Based on FastICA for High Density Surface EMG Decomposition","volume":"24","author":"Chen","year":"2016","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"jnead33b0bib10","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1152\/physiol.00040.2015","article-title":"Principles of motor unit physiology evolve with advances in technology","volume":"31","author":"Farina","year":"2016","journal-title":"Physiology"},{"key":"jnead33b0bib11","doi-asserted-by":"publisher","first-page":"114","DOI":"10.1152\/physiol.00027.2020","article-title":"Force steadiness: from motor units to voluntary actions","volume":"36","author":"Enoka","year":"2021","journal-title":"Physiology"},{"key":"jnead33b0bib12","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2560\/9\/5\/056011","article-title":"Non-invasive characterization of motor unit behaviour in pathological tremor","volume":"9","author":"Holobar","year":"2012","journal-title":"J. Neural Eng."},{"key":"jnead33b0bib13","doi-asserted-by":"publisher","first-page":"262","DOI":"10.1016\/j.clinph.2022.06.016","article-title":"Detecting motor unit abnormalities in amyotrophic lateral sclerosis using high-density surface EMG","volume":"142","author":"Nishikawa","year":"2022","journal-title":"Clin. Neurophysiol."},{"key":"jnead33b0bib14","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1038\/s41551-016-0025","article-title":"Man\/machine interface based on the discharge timings of spinal motor neurons after targeted muscle reinnervation","volume":"1","author":"Farina","year":"2017","journal-title":"Nat. Biomed. Eng."},{"key":"jnead33b0bib15","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1109\/MSP.2021.3057051","article-title":"Noninvasive neural interfacing with wearable muscle sensors: combining convolutive blind source separation methods and deep learning techniques for neural decoding","volume":"38","author":"Holobar","year":"2021","journal-title":"IEEE Signal Process. Mag."},{"key":"jnead33b0bib16","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/ac5f1a","article-title":"Far-field electric potentials provide access to the output from the spinal cord from wrist-mounted sensors","volume":"19","author":"Mendez Guerra","year":"2022","journal-title":"J. Neural Eng."},{"key":"jnead33b0bib17","doi-asserted-by":"publisher","first-page":"949","DOI":"10.1109\/TNSRE.2013.2247631","article-title":"Real-time motor unit identification from high-density surface EMG","volume":"21","author":"Glaser","year":"2013","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"jnead33b0bib18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TBME.2020.3001942","article-title":"Control of spinal motoneurons by feedback from a non-invasive real-time interface","volume":"68","author":"Barsakcioglu","year":"2020","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"jnead33b0bib19","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/abf186","article-title":"Simultaneous and proportional control of wrist and hand movements by decoding motor unit discharges in real time","volume":"18","author":"Chen","year":"2021","journal-title":"J. Neural Eng."},{"key":"jnead33b0bib20","doi-asserted-by":"publisher","first-page":"1505","DOI":"10.1152\/japplphysiol.01047.2003","article-title":"Low-threshold motor unit membrane properties vary with contraction intensity during sustained activation with surface EMG visual feedback","volume":"96","author":"Farina","year":"2004","journal-title":"J. Appl. Physiol."},{"key":"jnead33b0bib21","doi-asserted-by":"publisher","first-page":"3126","DOI":"10.1152\/jn.00537.2005","article-title":"Change in muscle fascicle length influences the recruitment and discharge rate of motor units during isometric contractions","volume":"94","author":"Pasquet","year":"2005","journal-title":"J. Neurophysiol."},{"key":"jnead33b0bib22","doi-asserted-by":"publisher","first-page":"667","DOI":"10.1016\/j.jelekin.2008.02.007","article-title":"Innervation zone shift at different levels of isometric contraction in the biceps brachii muscle","volume":"19","author":"Piitulainen","year":"2009","journal-title":"J. Electromyogr. Kinesiol."},{"key":"jnead33b0bib23","doi-asserted-by":"publisher","first-page":"1798","DOI":"10.1152\/japplphysiol.00043.2021","article-title":"Neural control of matched motor units during muscle shortening and lengthening at increasing velocities","volume":"130","author":"Souza Oliveira","year":"2021","journal-title":"J. Appl. Physiol."},{"key":"jnead33b0bib24","doi-asserted-by":"publisher","first-page":"3501","DOI":"10.1109\/TBME.2020.2989311","article-title":"Adaptive real-time identification of motor unit discharges from non-stationary high-density surface electromyographic signals","volume":"67","author":"Chen","year":"2020","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"jnead33b0bib25","doi-asserted-by":"publisher","first-page":"626","DOI":"10.1109\/72.761722","article-title":"Fast and robust fixed-point algorithms for independent component analysis","volume":"10","author":"Hyvarinen","year":"1999","journal-title":"IEEE Trans. Neural Netw."},{"key":"jnead33b0bib26","doi-asserted-by":"publisher","first-page":"228","DOI":"10.1109\/LSP.2005.863638","article-title":"Time-domain fast fixed-point algorithms for convolutive ICA","volume":"13","author":"Thomas","year":"2006","journal-title":"IEEE Signal Process. Lett."},{"key":"jnead33b0bib27","doi-asserted-by":"crossref","DOI":"10.1109\/BIOCAS.2018.8584659","article-title":"A real-time surface EMG decomposition system for non-invasive human-machine interfaces","author":"Barsakcioglu","year":"2018"},{"key":"jnead33b0bib28","author":"Leis","year":"2000"},{"key":"jnead33b0bib29","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1016\/j.jneumeth.2005.05.015","article-title":"EMGLAB: an interactive EMG decomposition program","volume":"149","author":"Kevin","year":"2005","journal-title":"J. Neurosci. Methods"},{"key":"jnead33b0bib30","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1109\/TNSRE.2018.2885283","article-title":"Motor unit identification from high-density surface electromyograms in repeated dynamic muscle contractions","volume":"27","author":"Glaser","year":"2019","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"jnead33b0bib31","doi-asserted-by":"publisher","first-page":"115227","DOI":"10.1109\/ACCESS.2021.3104762","article-title":"On the reuse of motor unit filters in high density surface electromyograms recorded at different contraction levels","volume":"9","author":"Francic","year":"2021","journal-title":"IEEE Access"},{"key":"jnead33b0bib32","doi-asserted-by":"publisher","first-page":"1616","DOI":"10.1016\/j.clinph.2009.10.040","article-title":"Decoding the neural drive to muscles from the surface electromyogram","volume":"121","author":"Farina","year":"2010","journal-title":"Clin. Neurophysiol."},{"key":"jnead33b0bib33","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1016\/j.jelekin.2019.03.010","article-title":"Physiological validation of the decomposition of surface EMG signals","volume":"46","author":"Enoka","year":"2019","journal-title":"J. Electromyogr. Kinesiol."},{"key":"jnead33b0bib34","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/ac5f1b","article-title":"Improved online decomposition of non-stationary electromyogram via signal enhancement using a neuron resonance model: a simulation study","volume":"19","author":"Zheng","year":"2022","journal-title":"J. Neural Eng."},{"key":"jnead33b0bib35","doi-asserted-by":"publisher","first-page":"1479","DOI":"10.1113\/JP273662","article-title":"Tracking motor units longitudinally across experimental sessions with high-density surface electromyography","volume":"595","author":"Martinez-Valdes","year":"2017","journal-title":"J. Physiol."},{"key":"jnead33b0bib36","first-page":"pp 371","article-title":"Effects of decomposition parameters and estimator type on pseudo-online motor unit based wrist joint angle prediction","volume":"vol 28","author":"Yeung","year":"2022"},{"key":"jnead33b0bib37","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1016\/S1050-6411(00)00050-X","article-title":"EMG signal decomposition: how can it be accomplished and used?","volume":"11","author":"Stashuk","year":"2001","journal-title":"J. Electromyogr. Kinesiol."},{"key":"jnead33b0bib38","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2560\/11\/2\/026007","article-title":"Accuracy assessment of a surface electromyogram decomposition system in human first dorsal interosseus muscle","volume":"11","author":"Xiaogang","year":"2014","journal-title":"J. Neural Eng."},{"key":"jnead33b0bib39","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2560\/11\/1\/016008","article-title":"Accurate identification of motor unit discharge patterns from high-density surface EMG and validation with a novel signal-based performance metric","volume":"11","author":"Holobar","year":"2014","journal-title":"J. Neural Eng."},{"key":"jnead33b0bib40","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065718500193","article-title":"Two-source validation of progressive FastICA Peel-off for automatic surface emg decomposition in human first dorsal interosseous muscle","volume":"28","author":"Chen","year":"2018","journal-title":"Int. J. Neural Syst."},{"key":"jnead33b0bib41","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1109\/TNSRE.2010.2041593","article-title":"Experimental analysis of accuracy in the identification of motor unit spike trains from high-density surface EMG","volume":"18","author":"Holobar","year":"2010","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"jnead33b0bib42","doi-asserted-by":"publisher","first-page":"526","DOI":"10.1109\/TBME.2020.3006508","article-title":"Deep learning for robust decomposition of high-density surface EMG signals","volume":"68","author":"Kenneth Clarke","year":"2021","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"jnead33b0bib43","doi-asserted-by":"publisher","first-page":"1223","DOI":"10.1152\/jn.90219.2008","article-title":"Detecting the unique representation of motor-unit action potentials in the surface electromyogram","volume":"100","author":"Farina","year":"2008","journal-title":"J. Neurophysiol."},{"key":"jnead33b0bib44","doi-asserted-by":"publisher","first-page":"551","DOI":"10.1016\/j.clinph.2008.10.160","article-title":"Estimating motor unit discharge patterns from high-density surface electromyogram","volume":"120","author":"Holobar","year":"2009","journal-title":"Clin. Neurophysiol."}],"container-title":["Journal of Neural Engineering"],"original-title":[],"link":[{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1741-2552\/ad33b0","content-type":"text\/html","content-version":"am","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1741-2552\/ad33b0\/pdf","content-type":"application\/pdf","content-version":"am","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1741-2552\/ad33b0","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1741-2552\/ad33b0\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1741-2552\/ad33b0\/pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1741-2552\/ad33b0\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1741-2552\/ad33b0\/pdf","content-type":"application\/pdf","content-version":"am","intended-application":"similarity-checking"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1741-2552\/ad33b0\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,21]],"date-time":"2024-03-21T01:30:47Z","timestamp":1710984647000},"score":1,"resource":{"primary":{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1741-2552\/ad33b0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3,21]]},"references-count":44,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2024,3,21]]},"published-print":{"date-parts":[[2024,4,1]]}},"URL":"https:\/\/doi.org\/10.1088\/1741-2552\/ad33b0","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/2023.09.18.558259","asserted-by":"object"}]},"ISSN":["1741-2560","1741-2552"],"issn-type":[{"value":"1741-2560","type":"print"},{"value":"1741-2552","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,3,21]]},"assertion":[{"value":"Adaptive HD-sEMG decomposition: towards robust real-time decoding of neural drive","name":"article_title","label":"Article Title"},{"value":"Journal of Neural Engineering","name":"journal_title","label":"Journal Title"},{"value":"paper","name":"article_type","label":"Article Type"},{"value":"\u00a9 2024 The Author(s). Published by IOP Publishing Ltd","name":"copyright_information","label":"Copyright Information"},{"value":"2023-09-19","name":"date_received","label":"Date Received","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2024-03-13","name":"date_accepted","label":"Date Accepted","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2024-03-21","name":"date_epub","label":"Online publication date","group":{"name":"publication_dates","label":"Publication dates"}}]}}