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Parisi et al., 2015 - Google Patents

Body-sensor-network-based kinematic characterization and comparative outlook of UPDRS scoring in leg agility, sit-to-stand, and gait tasks in Parkinson's disease

Parisi et al., 2015

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Document ID
2997382562065670970
Author
Parisi F
Ferrari G
Giuberti M
Contin L
Cimolin V
Azzaro C
Albani G
Mauro A
Publication year
Publication venue
IEEE journal of biomedical and health informatics

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Snippet

Recently, we have proposed a body-sensor-network-based approach, composed of a few body-worn wireless inertial nodes, for automatic assignment of Unified Parkinson's Disease Rating Scale (UPDRS) scores in the following tasks: Leg agility (LA), Sit-to-Stand (S2S), and …
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Classifications

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    • A61B5/1116—Determining posture transitions
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    • A61B5/1122—Determining geometric values, e.g. centre of rotation or angular range of movement of movement trajectories
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