{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T11:46:15Z","timestamp":1792755975438,"version":"4.5.0"},"reference-count":37,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2022,5,1]],"date-time":"2022-05-01T00:00:00Z","timestamp":1651363200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,5,1]],"date-time":"2022-05-01T00:00:00Z","timestamp":1651363200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2022,3,31]],"date-time":"2022-03-31T00:00:00Z","timestamp":1648684800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Gait &amp; Posture"],"published-print":{"date-parts":[[2022,5]]},"DOI":"10.1016\/j.gaitpost.2022.03.007","type":"journal-article","created":{"date-parts":[[2022,3,26]],"date-time":"2022-03-26T18:58:46Z","timestamp":1648321126000},"page":"210-216","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":41,"special_numbering":"C","title":["Pathological gait clustering in post-stroke patients using motion capture data"],"prefix":"10.1016","volume":"94","author":[{"given":"Hyungtai","family":"Kim","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yun-Hee","family":"Kim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9609-1116","authenticated-orcid":false,"given":"Seung-Jong","family":"Kim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5025-8785","authenticated-orcid":false,"given":"Mun-Taek","family":"Choi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"9778","key":"10.1016\/j.gaitpost.2022.03.007_b1","doi-asserted-by":"crossref","first-page":"1693","DOI":"10.1016\/S0140-6736(11)60325-5","article-title":"Stroke rehabilitation","volume":"377","author":"Langhorne","year":"2011","journal-title":"Lancet"},{"issue":"1","key":"10.1016\/j.gaitpost.2022.03.007_b2","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1186\/1471-2377-7-39","article-title":"Protocol for the Locomotor Experience Applied Post-stroke (LEAPS) trial: a randomized controlled trial","volume":"7","author":"Duncan","year":"2007","journal-title":"BMC Neurol."},{"key":"10.1016\/j.gaitpost.2022.03.007_b3","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.medengphy.2017.12.006","article-title":"Automatic recognition of gait patterns in human motor disorders using machine learning: A review","volume":"53","author":"Figueiredo","year":"2018","journal-title":"Med. Eng. Phys."},{"key":"10.1016\/j.gaitpost.2022.03.007_b4","doi-asserted-by":"crossref","first-page":"885","DOI":"10.3389\/fneur.2021.650024","article-title":"Assessment methods of post-stroke gait: A scoping review of technology-driven approaches to gait characterization and analysis","volume":"12","author":"Mohan","year":"2021","journal-title":"Front. Neurol."},{"issue":"10","key":"10.1016\/j.gaitpost.2022.03.007_b5","doi-asserted-by":"crossref","first-page":"1625","DOI":"10.1016\/j.apmr.2003.11.039","article-title":"Foot contact pattern analysis in hemiplegic stroke patients: an implication for neurologic status determination","volume":"85","author":"Wong","year":"2004","journal-title":"Arch. Phys. Med. Rehabil."},{"issue":"2","key":"10.1016\/j.gaitpost.2022.03.007_b6","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1016\/j.gaitpost.2009.04.010","article-title":"Gait classification in post-stroke patients using artificial neural networks","volume":"30","author":"Kaczmarczyk","year":"2009","journal-title":"Gait & Posture"},{"issue":"1","key":"10.1016\/j.gaitpost.2022.03.007_b7","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1016\/S0966-6362(02)00165-0","article-title":"Use of cluster analysis for gait pattern classification of patients in the early and late recovery phases following stroke","volume":"18","author":"Mulroy","year":"2003","journal-title":"Gait & Posture"},{"issue":"5","key":"10.1016\/j.gaitpost.2022.03.007_b8","doi-asserted-by":"crossref","first-page":"1297","DOI":"10.1109\/JBHI.2016.2633000","article-title":"Mixture-model clustering of pathological gait patterns","volume":"21","author":"Dolatabadi","year":"2016","journal-title":"IEEE J. Biomed. Health Inf."},{"issue":"2","key":"10.1016\/j.gaitpost.2022.03.007_b9","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1016\/j.bbe.2016.03.002","article-title":"Gait patterns classification based on cluster and bicluster analysis","volume":"36","author":"Pauk","year":"2016","journal-title":"Biocybern. Biomed. Eng."},{"key":"10.1016\/j.gaitpost.2022.03.007_b10","doi-asserted-by":"crossref","DOI":"10.3352\/jeehp.2021.18.17","article-title":"Sample size determination and power analysis using the G* Power software","volume":"18","author":"Kang","year":"2021","journal-title":"J. Educ. Eval. Health Prof."},{"issue":"3","key":"10.1016\/j.gaitpost.2022.03.007_b11","doi-asserted-by":"crossref","first-page":"358","DOI":"10.1016\/j.apmr.2005.11.007","article-title":"Hemiplegic gait after stroke: is measurement of maximum speed required?","volume":"87","author":"Kollen","year":"2006","journal-title":"Arch. Phys. Med. Rehabil."},{"issue":"2","key":"10.1016\/j.gaitpost.2022.03.007_b12","doi-asserted-by":"crossref","first-page":"175","DOI":"10.3758\/BF03193146","article-title":"G* Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences","volume":"39","author":"Faul","year":"2007","journal-title":"Behav. Res. Methods"},{"issue":"10","key":"10.1016\/j.gaitpost.2022.03.007_b13","doi-asserted-by":"crossref","first-page":"2875","DOI":"10.1161\/STROKEAHA.113.001660","article-title":"Vascularization pattern after ischemic stroke is different in control versus diabetic rats: relevance to stroke recovery","volume":"44","author":"Prakash","year":"2013","journal-title":"Stroke"},{"key":"10.1016\/j.gaitpost.2022.03.007_b14","series-title":"Orthotrak 5.0","author":"Richards","year":"2002"},{"issue":"2","key":"10.1016\/j.gaitpost.2022.03.007_b15","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1016\/j.gaitpost.2009.04.004","article-title":"A six degrees-of-freedom marker set for gait analysis: repeatability and comparison with a modified Helen Hayes set","volume":"30","author":"Collins","year":"2009","journal-title":"Gait & Posture"},{"issue":"6","key":"10.1016\/j.gaitpost.2022.03.007_b16","doi-asserted-by":"crossref","first-page":"815","DOI":"10.1097\/01241398-199211000-00023","article-title":"Gait analysis: normal and pathological function","volume":"12","author":"Perry","year":"1992","journal-title":"J. Pediatr. Orthop."},{"issue":"12","key":"10.1016\/j.gaitpost.2022.03.007_b17","doi-asserted-by":"crossref","first-page":"925","DOI":"10.1097\/01.PHM.0000098040.13355.B5","article-title":"Gait performance with compensatory adaptations in stroke patients with different degrees of motor recovery","volume":"82","author":"Chen","year":"2003","journal-title":"Am. J. Phys. Med. Rehabil."},{"issue":"2","key":"10.1016\/j.gaitpost.2022.03.007_b18","doi-asserted-by":"crossref","first-page":"174","DOI":"10.2106\/00004623-200002000-00003","article-title":"Joint angular velocity in spastic gait and the influence of muscle-tendon lengthening","volume":"82","author":"Granata","year":"2000","journal-title":"J. Bone Joint Surg. Am. Vol."},{"issue":"6","key":"10.1016\/j.gaitpost.2022.03.007_b19","first-page":"1401","article-title":"Simultaneous clustering and classification of function recovery patterns of ischemic stroke","volume":"10","author":"Kim","year":"2020","journal-title":"J. Med. Imag. Health Inform."},{"key":"10.1016\/j.gaitpost.2022.03.007_b20","series-title":"K-means vs mini batch k-means: a comparison","author":"B\u00e9jar\u00a0Alonso","year":"2013"},{"issue":"2","key":"10.1016\/j.gaitpost.2022.03.007_b21","doi-asserted-by":"crossref","first-page":"451","DOI":"10.1016\/S0031-3203(02)00060-2","article-title":"The global k-means clustering algorithm","volume":"36","author":"Likas","year":"2003","journal-title":"Pattern Recognit."},{"issue":"9","key":"10.1016\/j.gaitpost.2022.03.007_b22","doi-asserted-by":"crossref","first-page":"1406","DOI":"10.1109\/TKDE.2010.259","article-title":"Laplacian regularized gaussian mixture model for data clustering","volume":"23","author":"He","year":"2010","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.gaitpost.2022.03.007_b23","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"Pedregosa","year":"2011","journal-title":"J. Mach. Learn. Res."},{"key":"10.1016\/j.gaitpost.2022.03.007_b24","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/0377-0427(87)90125-7","article-title":"Silhouettes: a graphical aid to the interpretation and validation of cluster analysis","volume":"20","author":"Rousseeuw","year":"1987","journal-title":"J. Comput. Appl. Math."},{"key":"10.1016\/j.gaitpost.2022.03.007_b25","series-title":"Eighth International Conference on Machine Vision (ICMV 2015), Vol. 9875","article-title":"Influence of resampling on accuracy of imbalanced classification","author":"Burnaev","year":"2015"},{"key":"10.1016\/j.gaitpost.2022.03.007_b26","series-title":"Regression Modeling Strategies","first-page":"311","article-title":"Ordinal logistic regression","author":"Harrell","year":"2015"},{"issue":"3","key":"10.1016\/j.gaitpost.2022.03.007_b27","first-page":"27","article-title":"LIBSVM: a library for support vector machines","volume":"2","author":"Chang","year":"2011","journal-title":"ACM Trans. Intell. Syst. Technol. (TIST)"},{"issue":"8","key":"10.1016\/j.gaitpost.2022.03.007_b28","article-title":"The random subspace method for constructing decision forests","volume":"20","author":"Barandiaran","year":"1998","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"1","key":"10.1016\/j.gaitpost.2022.03.007_b29","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0086703","article-title":"Sequence based prediction of DNA-binding proteins based on hybrid feature selection using random forest and Gaussian naive Bayes","volume":"9","author":"Lou","year":"2014","journal-title":"PLoS One"},{"issue":"1","key":"10.1016\/j.gaitpost.2022.03.007_b30","first-page":"77","article-title":"Fitting segmented regression models by grid search","volume":"29","author":"Lerman","year":"1980","journal-title":"J. R. Stat. Soc. Ser. C. Appl. Stat."},{"issue":"4","key":"10.1016\/j.gaitpost.2022.03.007_b31","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1016\/j.ipm.2009.03.002","article-title":"A systematic analysis of performance measures for classification tasks","volume":"45","author":"Sokolova","year":"2009","journal-title":"Inf. Process. Manage."},{"key":"10.1016\/j.gaitpost.2022.03.007_b32","doi-asserted-by":"crossref","unstructured":"S. Seabold, J. Perktold, Statsmodels: Econometric and statistical modeling with python, in: Proceedings of the 9th Python in Science Conference, Vol. 57, Austin, TX, 2010, p. 61.","DOI":"10.25080\/Majora-92bf1922-011"},{"key":"10.1016\/j.gaitpost.2022.03.007_b33","series-title":"Joint European Conference on Machine Learning and Knowledge Discovery in Databases","first-page":"694","article-title":"The feature importance ranking measure","author":"Zien","year":"2009"},{"issue":"6","key":"10.1016\/j.gaitpost.2022.03.007_b34","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0129821","article-title":"Spatiotemporal and kinematic parameters relating to oriented gait and turn performance in patients with chronic stroke","volume":"10","author":"Bonnyaud","year":"2015","journal-title":"PLoS One"},{"issue":"3","key":"10.1016\/j.gaitpost.2022.03.007_b35","doi-asserted-by":"crossref","first-page":"354","DOI":"10.1016\/j.gaitpost.2012.07.032","article-title":"Estimation of spatio-temporal parameters for post-stroke hemiparetic gait using inertial sensors","volume":"37","author":"Yang","year":"2013","journal-title":"Gait & Posture"},{"key":"10.1016\/j.gaitpost.2022.03.007_b36","doi-asserted-by":"crossref","DOI":"10.1016\/j.softx.2020.100456","article-title":"TSFEL: Time series feature extraction library","volume":"11","author":"Barandas","year":"2020","journal-title":"SoftwareX"},{"issue":"24","key":"10.1016\/j.gaitpost.2022.03.007_b37","doi-asserted-by":"crossref","first-page":"12054","DOI":"10.3390\/app112412054","article-title":"Healthy knee kinematic phenotypes identification based on a clustering data analysis","volume":"11","author":"Mezghani","year":"2021","journal-title":"Appl. Sci."}],"container-title":["Gait &amp; Posture"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0966636222000790?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0966636222000790?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,18]],"date-time":"2025-10-18T18:16:41Z","timestamp":1760811401000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0966636222000790"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5]]},"references-count":37,"alternative-id":["S0966636222000790"],"URL":"https:\/\/doi.org\/10.1016\/j.gaitpost.2022.03.007","relation":{},"ISSN":["0966-6362"],"issn-type":[{"value":"0966-6362","type":"print"}],"subject":[],"published":{"date-parts":[[2022,5]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Pathological gait clustering in post-stroke patients using motion capture data","name":"articletitle","label":"Article Title"},{"value":"Gait & Posture","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.gaitpost.2022.03.007","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 The Authors. Published by Elsevier B.V.","name":"copyright","label":"Copyright"}]}}