Title
A Multi-layer Gaussian Process for Motor Symptom Estimation in People with Parkinson’s Disease
Abstract
The assessment of Parkinson's disease (PD) poses a significant challenge, as it is influenced by various factors that lead to a complex and fluctuating symptom manifestation. Thus, a frequent and objective PD assessment is highly valuable for effective health management of people with Parkinson's disease (PwP). Here, we propose a method for monitoring PwP by stochastically modeling the relationshi...
Year
DOI
Venue
2019
10.1109/TBME.2019.2900002
IEEE Transactions on Biomedical Engineering
Keywords
Field
DocType
Monitoring,Machine learning,Gaussian processes,Estimation,Predictive models,Diseases,Biological system modeling
Computer vision,Parkinson's disease,Activities of daily living,Multi layer,Computer science,Continuous monitoring,Artificial intelligence,Dyskinesia,Gaussian process,Physical medicine and rehabilitation
Journal
Volume
Issue
ISSN
66
11
0018-9294
Citations 
PageRank 
References 
0
0.34
0
Authors
10
Name
Order
Citations
PageRank
Muriel Lang1355.64
Franz Michael Josef Pfister2191.87
Jacob Frohner300.34
Kian Abedinpour400.34
Daniel Pichler500.34
Urban Fietzek600.34
Terry Um700.34
Dana Kulic881069.21
Satoshi Endo9435.10
Sandra Hirche10961106.36