Comparing Statistics and Machine Learning to Detect Insincere Grip Force Testing Using Manugraphy.

Background Currently, there are no tests that have been proven to be capable of rating an individual's grip force measurement as sincere or insincere. However, different parameters have been found to vary in grip force testing for maximal versus submaximal effort. A novel data analysis and processing approach might be key to improving these measurements.

Influence of Maximal or Submaximal Effort on the Load Distribution of the Hand Analyzed by Manugraphy.

Purpose: This study aims to investigate if the hands' load-distribution pattern differs during maximal and submaximal grip.

Methods: Fifty-four healthy subjects used the 200-mm Manugraphy cylinder to assess the load-distribution pattern of both hands. On 2 testing days, the subjects performed grip-force testing: 1 hand with maximal effort and the other with submaximal effort.