Category: Technology
Objective: Analysis of the feasibility in the detection of Parkinson’s Motor Symptoms.
Background: Usually, in current clinical practice, the physicians have a very limited slot of time to perform an evaluation based on questioning, punctual observation and a general overview of the patient and caregiver. For a correct follow-up of the disease, there is a need to observe all the motor symptoms, their severity and distribution in home-environments.
Method: STAT-ON is used to monitor motor symptoms including motor fluctuations, wearing-off (WO), bradykinesia, dyskinesia, freezing of gait, falls, energy expenditure and gait parameters. The sensor is worn on the left part of the waist in awaken hours, being recommended about 12 hours per day for 7 days. The patient is instructed to push the existing button when he takes the medication to see and analyze the relationship between the wearing-off and the medication effect.
Results: A total of 23 reports have been gathered including information from different symptoms. Among them, there are 3 pre-post treatment examples where a significant improvement is shown (Reduction of OFF hours in 1 hour, 2 hours, and reduction from 200 to 100 FoG episodes a day) after an adjustment of the treatment. The overall experience has been very positive since the WO is detected in several patients by an analysis of the information given when the patient is pushing the button at the medication intake. The sensor can detect, also advanced patients by considering motor fluctuations: percentage of OFF-time and dyskinesia and FoG distribution. Detection of passive patients is determined when the energy expenditure score parameter is below 0.5. The STAT-ON general graph enables to see patterns of the patient such as waking up, resting zones, or recurrent OFF zones.
Conclusion: The STAT-ON holter is feasible to be used to monitor objective motor symptoms in home environments. The medical device covers the necessary motor symptoms to be evaluated to help the neurologist to adjust better the corresponding therapy to the patient. It may be a useful tool to improve the early-recognition of WO and PD patients candidates to a second-line treatment.
To cite this abstract in AMA style:
DRM. Rodriguez-Martin, CPL. Perez-Lopez, MP. Pié, JC. Calvet, ACM. Català, JCM. Cabestany, NC. Caballol, AB. Bayés. Feasibility to Detect Parkinson’s Motor Symptoms with a Waist-Worn Parkinson’s Holter [abstract]. Mov Disord. 2021; 36 (suppl 1). https://www.mdsabstracts.org/abstract/feasibility-to-detect-parkinsons-motor-symptoms-with-a-waist-worn-parkinsons-holter/. Accessed June 15, 2025.« Back to MDS Virtual Congress 2021
MDS Abstracts - https://www.mdsabstracts.org/abstract/feasibility-to-detect-parkinsons-motor-symptoms-with-a-waist-worn-parkinsons-holter/