AIMC Topic: Pinch Strength

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Exploratory analysis using machine learning algorithms to predict pinch strength by anthropometric and socio-demographic features.

International journal of occupational safety and ergonomics : JOSE Mar 30, 2024
. This study examines the role of different machine learning (ML) algorithms to determine which socio-demographic factors and hand-forearm anthropometric dimensions can be used to accurately predict hand function. . The cross-sectional study was cond...
Humans Machine Learning Algorithms Female Aged Aged, 80 and over Young Adult Adult Cross-Sectional Studies Male Middle Aged Adolescent Child Socioeconomic Factors Hand Iran Anthropometry Forearm Pinch Strength
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Robot-Assisted Training of Arm and Hand Movement Shows Functional Improvements for Incomplete Cervical Spinal Cord Injury.

American journal of physical medicine & rehabilitation Oct 1, 2017
OBJECTIVE: The aim of the study was to demonstrate the feasibility, tolerability, and effectiveness of robotic-assisted arm training in incomplete chronic tetraplegia.
Humans Female Adult Male Middle Aged Pilot Projects Treatment Outcome Recovery of Function Robotics Cervical Vertebrae Hand Feasibility Studies Arm Spinal Cord Injuries Movement Physical Therapy Modalities Neck Injuries Pinch Strength
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