Improved detection of Parkinsonian resting tremor with feature engineering and Kalman filtering

OBJECTIVE: Accurate and reliable detection of tremor onset in Parkinson’s disease (PD) is critical to the success of adaptive deep brain stimulation (aDBS) therapy. Here, we investigated the potential use of feature engineering and machine learning methods for more accurate detection of rest tremor...

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Detalles Bibliográficos
Autores principales: Yao, Lin, Brown, Peter, Shoaran, Mahsa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6927801/
https://www.ncbi.nlm.nih.gov/pubmed/31744673
http://dx.doi.org/10.1016/j.clinph.2019.09.021

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6927801/
https://www.ncbi.nlm.nih.gov/pubmed/31744673
http://dx.doi.org/10.1016/j.clinph.2019.09.021

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