ArticleFrontiers in aging neuroscience2020
More Sensitive Identification for Bradykinesia Compared to Tremors in Parkinson's Disease Based on Parkinson's KinetiGraph (PKG).
Article in Frontiers in aging neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.
- Devices for remote continuous monitoring of people with Parkinson's disease: a systematic review and cost-effectiveness analysis.Health technology assessment (Winchester, England) · 2024Pooled it
- Data-driven neurobiological subtyping of Parkinson's disease using diffusion MRI-derived isotropic diffusion.Neuroradiology · 2026Article
- [Commercial devices for monitoring symptoms in Parkinson's disease: benefits, limitations and trends].Revista de neurologia · 2024Review
- Instrumented timed up and go test and machine learning-based levodopa response evaluation: a pilot study.Journal of neuroengineering and rehabilitation · 2024Article
- Motor network gamma oscillations in chronic home recordings predict dyskinesia in Parkinson's disease.Brain : a journal of neurology · 2024Article
- Commercial symptom monitoring devices in Parkinson's disease: benefits, limitations, and trends.Frontiers in neurology · 2024Review
- Overview on wearable sensors for the management of Parkinson's disease.NPJ Parkinson's disease · 2023Review
- MRI-based multivariate gray matter volumetric distance for predicting motor symptom progression in Parkinson's disease.Scientific reports · 2023Article
- Article
- Clinical Evaluation in Parkinson's Disease: Is the Golden Standard Shiny Enough?Sensors (Basel, Switzerland) · 2023Article
- Non-Contact Hand Movement Analysis for Optimal Configuration of Smart Sensors to Capture Parkinson's Disease Hand Tremor.Sensors (Basel, Switzerland) · 2022Article
- Personalized Assessment of Insomnia and Sleep Quality in Patients with Parkinson's Disease.Journal of personalized medicine · 2022Review
- Parkinson's disease and Covid-19: The effect and use of telemedicine.International review of neurobiology · 2022Article
- A New Paradigm in Parkinson's Disease Evaluation With Wearable Medical Devices: A Review of STAT-ONFrontiers in neurology · 2022Review
- A-WEAR Bracelet for Detection of Hand Tremor and Bradykinesia in Parkinson's Patients.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The effective management and therapies for Parkinson's disease (PD) require appropriate clinical evaluation. The Parkinson's KinetiGraph (PKG) is a wearable sensor system that can monitor the motion characteristics of PD objectively and continuously. This study was aimed to assess the correlations between PKG data and clinical scores of bradykinesia, rigidity, tremor, and fluctuation. It also aims to explore the application value of identifying early motor symptoms. An observational study of 100 PD patients wearing the PKG for ≥ 6 days was performed. It provides a series of data, such as the bradykinesia score (BKS), percent time tremor (PTT), dyskinesia score (DKS), and fluctuation and dyskinesia score (FDS). PKG data and UPDRS scores were analyzed, including UPDRS III total scores, UPDRS III-bradykinesia scores (UPDRS III-B: items 23-26, 31), UPDRS III-rigidity scores (UPDRS III-R: item 22), and scores from the Wearing-off Questionnaire (WOQ-9). This study shows that there was significant correlation between BKS and UPDRS III scores, including UPDRS III total scores, UPDRS III-B, and UPDRS III-R scores (
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