Assessing Cerebellar Disorders with Wearable Inertial Sensor Data Using Time-Frequency and Autoregressive Hidden Markov Model Approaches

Wearable sensor data is relatively easily collected and provides direct measurements of movement that can be used to develop useful behavioral biomarkers. Sensitive and specific behavioral biomarkers for neurodegenerative diseases are critical to supporting early detection, drug development efforts,...

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Detalles Bibliográficos
Autores principales: Knudson, Karin C., Gupta, Anoopum S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9737930/
https://www.ncbi.nlm.nih.gov/pubmed/36502155
http://dx.doi.org/10.3390/s22239454

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9737930/
https://www.ncbi.nlm.nih.gov/pubmed/36502155
http://dx.doi.org/10.3390/s22239454

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