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Hidden Markov Model based stride segmentation on unsupervised free-living gait data in Parkinson’s disease patients
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 res...
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| I publikationen: | J Neuroeng Rehabil |
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| Huvudupphovsmän: | , , , , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
BioMed Central
2021
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8173987/ https://ncbi.nlm.nih.gov/pubmed/34082762 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12984-021-00883-7 |
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