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Clinical assessment of hand strength using a microcomputer.

A S Jain, J A Hennedy, D A Carus

Journal of Hand Surgery (Edinburgh, Scotland)

|October 1, 1985

Summary

A new microcomputer system precisely quantifies hand strength, measuring pinch, grasp, and shear forces objectively. This system collects, stores, and displays data for statistical analysis in hand strength assessments.

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Area of Science:

Biomedical Engineering
Rehabilitation Medicine
Human Factors Engineering

Background:

Accurate hand strength measurement is crucial for diagnosing conditions and evaluating treatment efficacy.
Objective quantification methods are needed to overcome the limitations of subjective clinical assessments.
Existing methods for hand strength assessment may lack precision, objectivity, or comprehensive data handling capabilities.

Purpose of the Study:

To design and validate a microcomputer-based system for precise and objective quantification of hand strength.
To enable accurate measurement of pinch, grasp, and shear forces.
To facilitate data collection, storage, display, and statistical analysis for hand strength assessments.

Main Methods:

Development of a microcomputer-based system incorporating force transducers for measuring pinch, grasp, and shear strengths.
System designed for quick and easy operation.
Implementation of data collection, storage, and numerical/graphical display functionalities.
Utilizing the system for assessing hand strength in a cohort of 96 individuals with normal hand function.

Main Results:

The developed system provides precise and objective quantification of hand strength parameters.
The system accurately measures pinch, grasp, and shear forces.
Data can be readily collected, stored, and presented numerically or graphically.
The system supports flexible statistical analysis of collected hand strength data.

Conclusions:

The microcomputer-based system offers a precise, objective, and user-friendly solution for hand strength quantification.
This technology enhances the ability to collect and analyze hand strength data, supporting clinical and research applications.
The reported assessment in 96 individuals demonstrates the system's capability in evaluating normal hand function.

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