Hidden Markov Model based stride segmentation on unsupervised free-living gait data in Parkinson’s d...
Hidden Markov Model based stride segmentation on unsupervised free-living gait data in Parkinson’s disease patients
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Publisher
London: BioMed Central Ltd
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Language
English
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London: BioMed Central Ltd
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Background To objectively assess a patient's gait, a robust identification of stride borders is one of the first steps in inertial sensor-based mobile gait analysis pipelines. While many different methods for stride segmentation have been presented in the literature, an out-of-lab evaluation of respective algorithms on free-living gait is still mis...
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Full title
Hidden Markov Model based stride segmentation on unsupervised free-living gait data in Parkinson’s disease patients
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TN_cdi_doaj_primary_oai_doaj_org_article_871dd9e6b77b4e9aa87c860590d70d16
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_871dd9e6b77b4e9aa87c860590d70d16
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ISSN
1743-0003
E-ISSN
1743-0003
DOI
10.1186/s12984-021-00883-7
