Trial reportAnnals of biomedical engineering2017
Quantification of Hand Motor Symptoms in Parkinson's Disease: A Proof-of-Principle Study Using Inertial and Force Sensors.
Trial report in Annals of biomedical engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 49 citations in OpenAlex.
- Clinical assessment of upper limb impairments and functional capacity in Parkinson's disease: a systematic review.Arquivos de neuro-psiquiatria · 2023Pooled it
- Quantitative Measurement of Rigidity in Parkinson´s Disease: A Systematic Review.Sensors (Basel, Switzerland) · 2020Pooled it
- Immersive virtual reality upper-limb exercises in people with Parkinson's disease: an observer-blinded randomised controlled trial.Journal of neuroengineering and rehabilitation · 2026Trial
- Flexible and Self-Powered Wearable Sensors for Tremor Monitoring in Parkinson'S Disease: Recent Advances in Materials and Device Architectures.Advanced healthcare materials · 2026Review
- Handwriting, touchscreen dexterity and bradykinesia measures in Parkinson's disease: a feature selection study.Journal of neurology · 2025Article
- Rigidity in Parkinson's Disease: The Objective Effect of Levodopa.Movement disorders : official journal of the Movement Disorder Society · 2025Article
- Clinical and brain functional correlates of instrumental rigidity measurement in Parkinson's disease.Scientific reports · 2025Article
- Development of a remote therapeutic monitoring platform: applications for movement disorders.Scientific reports · 2024Article
- Upper limb intention tremor assessment: opportunities and challenges in wearable technology.Journal of neuroengineering and rehabilitation · 2024Review
- Beta-triggered adaptive deep brain stimulation during reaching movement in Parkinson's disease.Brain : a journal of neurology · 2023Article
- A Computer Method for Pronation-Supination Assessment in Parkinson's Disease Based on Latent Space Representations of Biomechanical Indicators.Bioengineering (Basel, Switzerland) · 2023Article
- Wrist Rigidity Evaluation in Parkinson's Disease: A Scoping Review.Healthcare (Basel, Switzerland) · 2022Article
- Developing and assessing a new web-based tapping test for measuring distal movement in Parkinson's disease: a Distal Finger Tapping test.Scientific reports · 2022Article
- Assessment of movement disorders using wearable sensors during upper limb tasks: A scoping review.Frontiers in robotics and AI · 2022Article
- A Wearable System to Objectify Assessment of Motor Tasks for Supporting Parkinson's Disease Diagnosis.Sensors (Basel, Switzerland) · 2020Article
- iHandU: A Novel Quantitative Wrist Rigidity Evaluation Device for Deep Brain Stimulation Surgery.Sensors (Basel, Switzerland) · 2020Article
- An Expert System for Quantification of Bradykinesia Based on Wearable Inertial Sensors.Sensors (Basel, Switzerland) · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This proof-of-principle study describes the methodology and explores and demonstrates the applicability of a system, existing of miniature inertial sensors on the hand and a separate force sensor, to objectively quantify hand motor symptoms in patients with Parkinson's disease (PD) in a clinical setting (off- and on-medication condition). Four PD patients were measured in off- and on- dopaminergic medication condition. Finger tapping, rapid hand opening/closing, hand pro/supination, tremor during rest, mental task and kinetic task, and wrist rigidity movements were measured with the system (called the PowerGlove). To demonstrate applicability, various outcome parameters of measured hand motor symptoms of the patients in off- vs. on-medication condition are presented. The methodology described and results presented show applicability of the PowerGlove in a clinical research setting, to objectively quantify hand bradykinesia, tremor and rigidity in PD patients, using a single system. The PowerGlove measured a difference in off- vs. on-medication condition in all tasks in the presented patients with most of its outcome parameters. Further study into the validity and reliability of the outcome parameters is required in a larger cohort of patients, to arrive at an optimal set of parameters that can assist in clinical evaluation and decision-making.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.