Feasibility of spirography features for objective assessment of motor function in Parkinson's disease.
Journal:
Artificial intelligence in medicine
Published Date:
Sep 1, 2017
Abstract
OBJECTIVE: Parkinson's disease (PD) is currently incurable, however proper treatment can ease the symptoms and significantly improve the quality of life of patients. Since PD is a chronic disease, its efficient monitoring and management is very important. The objective of this paper was to investigate the feasibility of using the features and methodology of a spirography application, originally designed to detect early Parkinson's disease (PD) motoric symptoms, for automatically assessing motor symptoms of advanced PD patients experiencing motor fluctuations. More specifically, the aim was to objectively assess motor symptoms related to bradykinesias (slowness of movements occurring as a result of under-medication) and dyskinesias (involuntary movements occurring as a result of over-medication).
Authors
Keywords
Aged
Antiparkinson Agents
Diagnosis, Computer-Assisted
Dyskinesia, Drug-Induced
Feasibility Studies
Female
Health Status
Humans
Hypokinesia
Image Processing, Computer-Assisted
Machine Learning
Male
Middle Aged
Motor Activity
Parkinson Disease
Predictive Value of Tests
Retrospective Studies
Severity of Illness Index
Sweden
Time Factors
Treatment Outcome
Upper Extremity