ArticleSensors (Basel, Switzerland)2023
Comparison of Various Smoothness Metrics for Upper Limb Movements in Middle-Aged Healthy Subjects.
Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Perception, assessment, and coaching: a systematic review and taxonomy of computer vision-based physical rehabilitation techniques.Frontiers in rehabilitation sciences · 2026Pooled it
- Applications of Reinforcement Learning for Autonomous Surgical Robotics: A Systematic Review.Biomimetics (Basel, Switzerland) · 2026Review
- Evaluating upper limb movement smoothness metrics derived from markerless 3D motion tracking in children with neurological disorders.Journal of neuroengineering and rehabilitation · 2026Article
- Aging impairs bimanual isometric force smoothness.EXCLI journal · 2026Article
- TrackStudio: An integrated toolkit for markerless tracking.PloS one · 2026Article
- Movement smoothness matters: The missing piece in the functional assessment of rotator cuff patients. Insights from a stereophotogrammetry experimental study.Journal of experimental orthopaedics · 2026Article
- Effectiveness of intelligent robotic-assisted training system combined with repetitive facilitative exercise on upper limb motor function after stroke: a randomized controlled trial.BMC sports science, medicine & rehabilitation · 2025Article
- Measurement properties of movement smoothness metrics for upper limb reaching movements in people with moderate to severe subacute stroke.Journal of neuroengineering and rehabilitation · 2024Article
- The effect of gravity on hand spatio-temporal kinematic features during functional movements.PloS one · 2024Article
- Assessing Spatiotemporal and Quality Alterations in Paretic Upper Limb Movements after Stroke in Routine Care: Proposal and Validation of a Protocol Using IMUs versus MoCap.Sensors (Basel, Switzerland) · 2023Article
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Abstract
backgoundMetrics for movement smoothness include the number of zero-crossings on the acceleration profile (N0C), the log dimensionless jerk (LDLJ), the normalized averaged rectified jerk (NARJ) and the spectral arc length (SPARC). Sensitivity to the handedness and movement type of these four metrics was compared and correlations with other kinematic parameters were explored in healthy subjects.
methodsThirty-two healthy participants underwent 3D upper limb motion analysis during two sets of pointing movements on each side. They performed forward- and backward-pointing movements at a self-selected speed to a target located ahead at shoulder height and at 90% arm length, with and without a three-second pause between forward and backward movements. Kinematics were collected, and smoothness metrics were computed.
resultsLDLJ, NARJ and N0C found backward movements to be smoother, while SPARC found the opposite. Inter- and intra-subject coefficients of variation were lowest for SPARC. LDLJ, NARJ and N0C were correlated with each other and with movement time, unlike SPARC.
conclusionThere are major differences between smoothness metrics measured in the temporal domain (N0C, LDLJ, NARJ), which depend on movement time, and those measured in the frequency domain, the SPARC, which gave results opposite to the other metrics when comparing backward and forward movements.
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