Using Wearable Sensors and Machine Learning to Assess Upper Limb Function in Huntington's Disease.

ABSTRACT: Huntington's disease (HD), like many other neurological disorders, affects both lower and upper limb function that is typically assessed in the clinic - providing a snapshot of disease symptoms. Wearable sensors enable the collection of real-world data that can complement such clinical assessments and provide a more comprehensive insight into disease symptoms. In this context, almost all studies are focused on assessing lower limb function via monitoring of gait, physical activity and ambulation. In this study, we monitor upper limb function during activities of daily living in individuals with HD (n = 16), prodromal HD (pHD, n = 7), and controls (CTR, n = 16) using a wrist-worn wearable sensor, called PAMSys ULM, over seven days. The participants were highly compliant in wearing the senso

SUBMITTER: Nunes AS 

PROVIDER: S-EPMC11177990 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature