ArticlePloS one2016
Measuring 3D Hand and Finger Kinematics-A Comparison between Inertial Sensing and an Opto-Electronic Marker System.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers.
What it found
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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.
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Who cites it
15 citing papers in PubMed, 48 citations in OpenAlex.
- Advantages of using 3D virtual reality based training in persons with Parkinson's disease: a parallel study.Journal of neuroengineering and rehabilitation · 2019Trial
- Quantification of Hand Motor Symptoms in Parkinson's Disease: A Proof-of-Principle Study Using Inertial and Force Sensors.Annals of biomedical engineering · 2017Trial
- Variable and Asymmetric Range of Enslaving: Fingers Can Act Independently over Small Range of Flexion.PloS one · 2016Trial
- Article
- Assessing single camera markerless motion capture with OpenSim inverse kinematics during upper limb activities of daily living.International biomechanics · 2025Article
- Precision of an Inertial System to Evaluate the Finger Tapping Test in Women with Fibromyalgia.Sports (Basel, Switzerland) · 2025Article
- The role of laboratory investigations in the classification of tremors.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2023Review
- A hybrid linear discriminant analysis and genetic algorithm to create a linear model of aging when performing motor tasks through inertial sensors positioned on the hand and forearm.Biomedical engineering online · 2023Article
- A system for automated acquisition of digital flexion using a 3-D camera and custom gantry.Hand therapy · 2022Article
- Article
- Assessment of Upper Limb Movement Impairments after Stroke Using Wearable Inertial Sensing.Sensors (Basel, Switzerland) · 2020Article
- A Tangible Solution for Hand Motion Tracking in Clinical Applications.Sensors (Basel, Switzerland) · 2019Article
- Validation of foot pitch angle estimation using inertial measurement unit against marker-based optical 3D motion capture system.Biomedical engineering letters · 2018Article
- Correction: Measuring 3D Hand and Finger Kinematics-A Comparison between Inertial Sensing and an Opto-Electronic Marker System.PloS one · 2018Article
- Quantification of Finger-Tapping Angle Based on Wearable Sensors.Sensors (Basel, Switzerland) · 2017Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective analysis of hand and finger kinematics is important to increase understanding of hand function and to quantify motor symptoms for clinical diagnosis. The aim of this paper is to compare a new 3D measurement system containing multiple miniature inertial sensors (PowerGlove) with an opto-electronic marker system during specific finger tasks in three healthy subjects. Various finger movements tasks were performed: flexion, fast flexion, tapping, hand open/closing, ab/adduction and circular pointing. 3D joint angles of the index finger joints and position of the thumb and index were compared between systems. Median root mean square differences of the main joint angles of interest ranged between 3.3 and 8.4deg. Largest differences were found in fast and circular pointing tasks, mainly in range of motion. Smallest differences for all 3D joint angles were observed in the flexion tasks. For fast finger tapping, the thumb/index amplitude showed a median difference of 15.8mm. Differences could be explained by skin movement artifacts caused by relative marker movements of the marker system, particularly during fast tasks; large movement accelerations and angular velocities which exceeded the range of the inertial sensors; and by differences in segment calibrations between systems. The PowerGlove is a system that can be of value to measure 3D hand and finger kinematics and positions in an ambulatory setting. The reported differences need to be taken into account when applying the system in studies understanding the hand function and quantifying hand motor symptoms in clinical practice.
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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.