Title | ||
---|---|---|
A Multi-layer Gaussian Process for Motor Symptom Estimation in People with Parkinson’s Disease |
Abstract | ||
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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 Lang | 1 | 35 | 5.64 |
Franz Michael Josef Pfister | 2 | 19 | 1.87 |
Jacob Frohner | 3 | 0 | 0.34 |
Kian Abedinpour | 4 | 0 | 0.34 |
Daniel Pichler | 5 | 0 | 0.34 |
Urban Fietzek | 6 | 0 | 0.34 |
Terry Um | 7 | 0 | 0.34 |
Dana Kulic | 8 | 810 | 69.21 |
Satoshi Endo | 9 | 43 | 5.10 |
Sandra Hirche | 10 | 961 | 106.36 |