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Hidden Markov Model based Stride Segmentation on Unsupervised Free-living Gait Data in Parkinson’s Disease Patients

2021-03-04

Abstract excerpt

<title>Abstract</title> <p>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 missing. Method : To address this issue,...

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Literature Corpus work
3ccc3e4c-f7de-5f5e-8efa-63b9c2518b58
DOI
10.21203/rs.3.rs-269965/v1
Open publication

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Hidden Markov Model based Stride Segmentation on Unsupervised Free-living Gait Data in Parkinson’s Disease PatientsDOI 10.21203/rs.3.rs-269965/v1
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