Detection and assessment of the severity of Levodopa-induced dyskinesia in patients with Parkinson's disease by neural networks

• Published in: Movement disorders Vol. 15; no. 6; pp. 1104 - 1111
• Main Authors: Keijsers, N. L. W., Horstink, M. W. I. M., van Hilten, J. J., Hoff, J. I., Gielen, C. C. A. M.
• Format: Journal Article
• Language: English
• Published: New York John Wiley & Sons, Inc 01.11.2000; Wiley
• Subjects: Accelerometers; Activities of Daily Living; Adult; Antiparkinson Agents - adverse effects; Automatic assessment; Biological and medical sciences; Degenerative and inherited degenerative diseases of the nervous system. Leukodystrophies. Prion diseases; Diagnosis, Computer-Assisted - methods; Diagnosis, Differential; Dyskinesia, Drug-Induced - diagnosis; Feasibility Studies; Humans; Levodopa - adverse effects; Levodopa-induced dyskinesia; Medical sciences; Movement - drug effects; Neural networks; Neural Networks (Computer); Neurology; Parkinson Disease - diagnosis; Parkinson Disease - drug therapy; Parkinson's disease; Predictive Value of Tests; Severity of Illness Index; Human; Nervous system diseases; Toxicity; Quantitative character; Parkinson disease; Neural network; Antiparkinson agent; Cerebral disorder; Involuntary movement; Chemotherapy; Treatment; Central nervous system disease; Body movement; Degenerative disease; Severity score; Diagnosis; Levodopa; Technique; Neurological disorder; Accelerometry; Extrapyramidal syndrome; Dyskinesia

Levodopa‐induced dyskinesias (LID) in Parkinson's disease (PD) have remained a clinical challenge. We evaluated the feasibility of neural networks to detect LID and to quantify their severity in 16 patients with PD at rest and during various activities of daily living. The movements of the pati...