{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T11:06:33Z","timestamp":1772103993140,"version":"3.50.1"},"reference-count":19,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2023,2,8]],"date-time":"2023-02-08T00:00:00Z","timestamp":1675814400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,2,8]],"date-time":"2023-02-08T00:00:00Z","timestamp":1675814400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SN COMPUT. SCI."],"DOI":"10.1007\/s42979-022-01603-1","type":"journal-article","created":{"date-parts":[[2023,2,8]],"date-time":"2023-02-08T20:30:23Z","timestamp":1675888223000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Enhanced Local Pattern Transformation Based Feature Extraction for Identification of Parkinson\u2019s Disease Using Gait Signals"],"prefix":"10.1007","volume":"4","author":[{"given":"P.","family":"Klinton Amaladass","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M. S. P.","family":"Subathra","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8081-042X","authenticated-orcid":false,"given":"S.","family":"Jeba Priya","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mahima","family":"Sivakumar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,2,8]]},"reference":[{"key":"1603_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2013.11.018","author":"S Stuart","year":"2013","unstructured":"Stuart S, Alcock L, Galna B, Lord S, Rochester L. The measurement of visual sampling during real-world activity in Parkinson\u2019s disease and healthy controls: a structured literature review. J Neurosci Methods. 2013. https:\/\/doi.org\/10.1016\/j.jneumeth.2013.11.018.","journal-title":"J Neurosci Methods"},{"key":"1603_CR2","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1016\/j.bspc.2014.07.005","volume":"14","author":"R Yuvaraj","year":"2014","unstructured":"Yuvaraj R, Murugappan M, Ibrahim NM, Sundaraj K, Omar MI, Mohamad K, Palaniappan R. Detection of emotions in Parkinson\u2019s disease using higher order spectral features from brain\u2019s electrical activity. Biomed Signal Process Control. 2014;14:108\u2013116. https:\/\/doi.org\/10.1016\/j.bspc.2014.07.005. (ISSN 1746-8094).","journal-title":"Biomed Signal Process Control"},{"issue":"3","key":"1603_CR3","doi-asserted-by":"publisher","first-page":"904","DOI":"10.1016\/j.cmpb.2014.01.004","volume":"113","author":"M Hariharan","year":"2014","unstructured":"Hariharan M, Polat K, Sindhu R. A new hybrid intelligent system for accurate detection of Parkinson\u2019s disease. Comput Methods Programs Biomed. 2014;113(3):904\u201313. https:\/\/doi.org\/10.1016\/j.cmpb.2014.01.004. (ISSN 0169-2607).","journal-title":"Comput Methods Programs Biomed"},{"issue":"Pt 3","key":"1603_CR4","doi-asserted-by":"publisher","first-page":"767","DOI":"10.1093\/brain\/113.3.767","volume":"113","author":"AM Bronstein","year":"1990","unstructured":"Bronstein AM, Hood JD, Gresty MA, Panagi C. Visual control of balance in cerebellar and parkinsonian syndromes. Brain. 1990;113(Pt 3):767\u201379. https:\/\/doi.org\/10.1093\/brain\/113.3.767. (PMID: 2364268).","journal-title":"Brain"},{"key":"1603_CR5","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1016\/j.artmed.2016.01.004","volume":"67","author":"P Drot\u00e1r","year":"2016","unstructured":"Drot\u00e1r P, Mekyska J, Rektorov\u00e1 I, Masarov\u00e1 L, Sm\u00e9kal Z, Faundez-Zanuy M. Evaluation of handwriting kinematics and pressure for differential diagnosis of Parkinson\u2019s disease. Artif Intell Med. 2016;67:39\u201346. https:\/\/doi.org\/10.1016\/j.artmed.2016.01.004. (ISSN 0933-3657).","journal-title":"Artif Intell Med"},{"issue":"8","key":"1603_CR6","doi-asserted-by":"publisher","first-page":"918","DOI":"10.1016\/j.ifacol.2015.09.087","volume":"48","author":"G Singh","year":"2015","unstructured":"Singh G, Samavedham L. Algorithm for image-based biomarker detection for differential diagnosis of Parkinson\u2019s disease. IFAC-Papers On Line. 2015;48(8):918\u201323. https:\/\/doi.org\/10.1016\/j.ifacol.2015.09.087. (ISSN2405-8963).","journal-title":"IFAC-Papers On Line"},{"key":"1603_CR7","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1016\/j.compbiomed.2015.08.012","volume":"66","author":"CS Tucker","year":"2015","unstructured":"Tucker CS, Behoora I, Nembhard HB, Lewis M, Sterling NW, Huang X. Machine learning classification of medication adherence in patients with movement disorders using non-wearable sensors. Comput Biol Med. 2015;66:120\u201334. https:\/\/doi.org\/10.1016\/j.compbiomed.2015.08.012. (Epub 2015 Sep 8. PMID: 26406881; PMCID: PMC5729888).","journal-title":"Comput Biol Med"},{"issue":"8","key":"1603_CR8","doi-asserted-by":"publisher","first-page":"7338","DOI":"10.1016\/j.eswa.2012.01.084","volume":"39","author":"S-H Lee","year":"2012","unstructured":"Lee S-H, Lim JS. Parkinson\u2019s disease classification using gait characteristics and wavelet-based feature extraction. Expert Syst Appl. 2012;39(8):7338\u201344. https:\/\/doi.org\/10.1016\/j.eswa.2012.01.084. (ISSN 0957-4174).","journal-title":"Expert Syst Appl"},{"issue":"1","key":"1603_CR9","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1016\/j.bspc.2012.04.007","volume":"8","author":"MR Daliri","year":"2013","unstructured":"Daliri MR. Chi-square distance kernel of the gaits for the diagnosis of Parkinson\u2019s disease. Biomed Signal Process Control. 2013;8(1):66\u201370. https:\/\/doi.org\/10.1016\/j.bspc.2012.04.007. (ISSN 1746-8094).","journal-title":"Biomed Signal Process Control"},{"key":"1603_CR10","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1016\/j.bspc.2016.08.022","volume":"31","author":"Y Wu","year":"2017","unstructured":"Wu Y, Chen P, Luo X, Wu M, Liao L, Yang S, Rangayyan RM. Measuring signal fluctuations in gait rhythm time series of patients with Parkinson\u2019s disease using entropy parameters. Biomed Signal Process Control. 2017;31:265\u201371. https:\/\/doi.org\/10.1016\/j.bspc.2016.08.022. (ISSN 1746-8094).","journal-title":"Biomed Signal Process Control"},{"issue":"5","key":"1603_CR11","doi-asserted-by":"publisher","first-page":"1248","DOI":"10.1111\/j.1460-9568.2005.04298.x","volume":"22","author":"G Yogev","year":"2005","unstructured":"Yogev G, Giladi H, Peretz C, Springer S, Simon E, Hausdorff J. Dual tasking, gait rhytmicity, and Parkinson\u2019s disease: which aspects of gait are attention demanding? Eur J Neurosci. 2005;22(5):1248\u201356.","journal-title":"Eur J Neurosci"},{"key":"1603_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.amc.2014.05.128","author":"Y Kaya","year":"2014","unstructured":"Kaya Y, Uyar M, Tekin R. 1D-local binary pattern based feature extraction for classification of epileptic EEG signals. Appl Mathe Comput. 2014. https:\/\/doi.org\/10.1016\/j.amc.2014.05.128.","journal-title":"Appl Mathe Comput"},{"key":"1603_CR13","doi-asserted-by":"publisher","unstructured":"Priya SJ, Rani AJ, Ubendran N. Improving the prediction accuracy of Parkinson\u2019s Disease based on pattern techniques. In: 2020 5th International Conference on Devices, Circuits and Systems (ICDCS), 2020; p. 188\u2013192, https:\/\/doi.org\/10.1109\/ICDCS48716.2020.243578.","DOI":"10.1109\/ICDCS48716.2020.243578"},{"issue":"23","key":"1603_CR14","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1161\/01.CIR.101.23.e215","volume":"101","author":"A Goldberger","year":"2000","unstructured":"Goldberger A, Amaral L, Glass L, Hausdorff J, Ivanov P, Mark R, Mietus J, Moody G, Peng C, Stanley H. PhysioBank, PhysioToolkit and PhysioNet: components of a new research resource for complex physiological signals. Circulation. 2000;101(23):215\u201320.","journal-title":"Circulation"},{"key":"1603_CR15","doi-asserted-by":"publisher","first-page":"2489","DOI":"10.1016\/j.proeng.2011.08.468","volume":"15","author":"Yu Yingying","year":"2011","unstructured":"Yingying Yu, An Z, Hong Wu. Adaptive targets-detecting algorithm based on LBP and background modeling under complex scenes. Proc Eng. 2011;15:2489\u201394.","journal-title":"Proc Eng"},{"key":"1603_CR16","first-page":"1395","volume":"11.8","author":"PS Jeba","year":"2021","unstructured":"Jeba PS, et al. Local pattern transformation based feature extraction for recognition of Parkinson\u2019s disease based on gait signals. Diagnostics. 2021;11.8:1395.","journal-title":"Diagnostics"},{"issue":"7","key":"1603_CR17","doi-asserted-by":"publisher","first-page":"971","DOI":"10.1109\/TPAMI.2002.1017623","volume":"24","author":"T Ojala","year":"2002","unstructured":"Ojala T, Pietikainen M, Maenpaa T. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans Pattern Anal Mach Intell. 2002;24(7):971\u201387. https:\/\/doi.org\/10.1109\/TPAMI.2002.1017623.","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"September 2016","key":"1603_CR18","doi-asserted-by":"publisher","first-page":"156","DOI":"10.1016\/j.eswa.2016.03.018","volume":"56,C","author":"\u00d6F Ertu\u011frul","year":"2016","unstructured":"Ertu\u011frul \u00d6F, Kaya Y, Tekin R, Almal\u0131 MN. Detection of Parkinson\u2019s disease by shifted one dimensional local binary patterns from gait. Expert Syst Appl. 2016;56,C(September 2016):156\u201363. https:\/\/doi.org\/10.1016\/j.eswa.2016.03.018.","journal-title":"Expert Syst Appl"},{"key":"1603_CR19","doi-asserted-by":"publisher","first-page":"523","DOI":"10.1016\/j.gaitpost.2013.01.031","volume":"38","author":"E Grimpampi","year":"2013","unstructured":"Grimpampi E, Bonnet V, Taviani A, Mazza C. Estimate of lower trunk angles in pathological gaits using gyroscope data. Gait Posture. 2013;38:523\u20137.","journal-title":"Gait Posture"}],"container-title":["SN Computer Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-022-01603-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s42979-022-01603-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-022-01603-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,8]],"date-time":"2023-02-08T20:34:02Z","timestamp":1675888442000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s42979-022-01603-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2,8]]},"references-count":19,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2023,3]]}},"alternative-id":["1603"],"URL":"https:\/\/doi.org\/10.1007\/s42979-022-01603-1","relation":{},"ISSN":["2661-8907"],"issn-type":[{"value":"2661-8907","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,2,8]]},"assertion":[{"value":"3 November 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 December 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 February 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Authors declare no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"200"}}