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Updated: Nov 21, 2025
Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
Published on: July 24, 2019
Ambulatory surface electromyography with accelerometry for evaluating daily motor fluctuations in Parkinson's disease
Saara M Rissanen1, Maija Koivu2, Päivi Hartikainen3
1Department of Applied Physics, University of Eastern Finland, Kuopio, Finland.
Objective:
To evaluate motor fluctuations in patients with advanced Parkinson's disease (PD) using a small-sized wearable device for surface electromyography (EMG) with accelerometry (ACC) for 24 hours.
Methods:
Seven PD patients with medication were measured once, and nine patients with directional deep brain stimulation (dDBS) twice: before and after the dDBS reprogramming. EMG and ACC parameters were compared with clinical rating scores and patients' home diaries.
Results:
The combination of EMG and ACC parameters (first principal component PC1) correlated significantly with patient's condition as quantified by the motor score of Unified Parkinson's Disease Rating Scale and it changed significantly with dDBS reprogramming in line with decreased PD symptoms. Monitoring data detected in comparison with the home diaries: 91 % concordance with tremor, 76 % with rigidity, and 74 % with dyskinesia. In the DBS group, the wake-up time with abnormal neuromuscular function was reduced with reprogramming in all except one patient based on measurements.
Conclusions:
A wearable device measuring simultaneously both muscle activity and motion can provide continuous and dynamic information about patient's condition and motor fluctuations at home.
Significance:
The present method may help to modify pharmacologic management and DBS treatment in advanced PD.
