ArticleFrontiers in aging neuroscience2022
Sensor Measurements Can Characterize Fluctuations and Wearing Off in Parkinson's Disease and Guide Therapy to Improve Motor, Non-motor and Quality of Life Scores.
Article in Frontiers in aging neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 13 citations in OpenAlex.
- Weekly Variability of an Objective Bradykinesia Score in Parkinson's Disease-An Observational Longitudinal Study.Journal of clinical medicine · 2026Article
- Added value of a wrist-worn device for assessing tremor in Parkinson's disease: reliability and validity of tremor evaluation at home.NPJ Parkinson's disease · 2025Article
- Responsible development of clinical speech AI: Bridging the gap between clinical research and technology.NPJ digital medicine · 2024Review
- A machine learning contest enhances automated freezing of gait detection and reveals time-of-day effects.Nature communications · 2024Article
- The current state of wearable device use in Parkinson's disease: a survey of individuals with Parkinson's.Frontiers in digital health · 2024Article
- Overview on wearable sensors for the management of Parkinson's disease.NPJ Parkinson's disease · 2023Review
- Towards improved access to device-aided therapies in advanced PD: the importance of cooperation of different disciplines.Journal of neural transmission (Vienna, Austria : 1996) · 2023Review
- The use of wearables for the diagnosis and treatment of Parkinson's disease.Journal of neural transmission (Vienna, Austria : 1996) · 2023Review
- An Individualized Multi-Modal Approach for Detection of Medication "Off" Episodes in Parkinson's Disease via Wearable Sensors.Journal of personalized medicine · 2023Article
- Nomogram to Predict Cognitive State Improvement after Deep Brain Stimulation for Parkinson's Disease.Brain sciences · 2022Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: The aim was to examine the role of sensor measurement in identifying and managing fluctuations in bradykinesia of Parkinson's Disease. Method: Clinical scales and data from wearable sensors obtained before and after optimization of treatment from 107 participants who participated in a previous study was used. Fluctuators were identified by a levodopa response or wearing off in their sensor data and were subdivided according to whether the sensor's bradykinesia scores were in target range, representing acceptable bradykinesia for part of the dose (Controlled Fluctuator: Results: Treating Fluctuators significantly improved motor and quality of life scores. Converting fluctuators into Controlled Non-fluctuators significantly improved motor, non-motor and quality of life scores and a similar but less significant improvement was obtained by conversion to a Controlled Fluctuator. There was a significantly greater likelihood of achieving these changes when objective measurement was used to guide management. Conclusions: The sensor's classification of fluctuators bore a relation to severity of clinical scores and treatment of fluctuation improved clinical scores. The sensor measurement aided in recognizing and removing fluctuations with treatment and resulted in better clinical scores, presumably by assisting therapeutic decisions.
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