Article

Hand Trajectory Arc-Length for Robust Alignment: Reparameterization and Landmark-Based Approaches in Upper Limb Assessment After Stroke

2026-01-19

Abstract excerpt

<title>Abstract</title> <p> <bold>Purpose</bold> : Quantitative assessment of upper limb function in individuals who have had a stroke requires analysis of kinematic and kinetic data collected during the execution of daily living tasks. In clinical practice, representative average curves of joint angles and moments are essential for accurately evaluating individual performance and monitoring functional recovery...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: c33cd0ec-c700-5c35-85b7-4b5c42f342f2
DOI: 10.21203/rs.3.rs-8230790/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Hand Trajectory Arc-Length for Robust Alignment: Reparameterization and Landmark-Based Approaches in Upper Limb Assessment After StrokeDOI 10.21203/rs.3.rs-8230790/v1Read

Towards At-Home Stroke Rehabilitation: Fully Automated Identification of Upper Extremity Functional Movements in Daily-Life Activities of Stroke PatientsSemantic proximity Read

Generalizability of Neuromuscular Coordination in the Human Upper Extremity after Stroke and its Implications in NeurorehabilitationSemantic proximity Read

Development and clinical validation of a stroke-specific Gait Deviation IndexSemantic proximity Read

Unravelling stroke gait deviations with movement analytics, more than meets the eye: a case control studySemantic proximity Read

Estimating descending activation patterns from EMG in fast and slow movements using a model of the stretch reflexSemantic proximity Read

Predicting Upper-Extremity Function Recovery From Kinematics in Stroke Patients Following Goal-Oriented Computer-Based TrainingSemantic proximity Read

Increased Spatiotemporal Variability after Stroke is not Just the Outcome of Walking VelocitySemantic proximity Read

Validation of real-world actigraphy to capture post-stroke motor recoverySemantic proximity Read

Estimating the time structure of descending activation that generates movements at different speedsSemantic proximity Read

Administering Movement Assessments via Markerless Motion Capture Provides New Normative Values Over Clinical TestsSemantic proximity Read

Improving Fast EMG Classification for Hand Gesture Recognition: A Comprehensive Analysis of Temporal, Spatial, and Algorithm Configurations for Healthy and Post-Stroke SubjectsSemantic proximity Read

Wrist Actimetry Biomarker Development of Paretic Upper Limb Use in Post Stroke Patients for Ecological Monitoring.Semantic proximity Read