Estimation of grip force using the Grip-ball dynamometer.

Area of Science:

• Biomechanics
• Medical Devices
• Sensor Technology

Background:

• Grip strength measurement is crucial for assessing health and detecting conditions like frailty.
• Existing methods, such as the Jamar dynamometer, have established accuracy but may lack real-time data capabilities.
• There is a need for innovative, portable, and accurate grip strength measurement tools.

Purpose of the Study:

• To develop a predictive model for grip force using the Grip-ball dynamometer.
• To validate the model's accuracy against applied forces and initial pressures.
• To assess the potential of the Grip-ball for clinical applications, particularly in identifying frailty.

Main Methods:

• An airtight Grip-ball device equipped with a pressure sensor and Bluetooth was used.
• The device was inflated to various initial pressures (100-190 kPa).
• Applied forces (2-70 kg) were measured, and a predictive model was constructed using initial and measured pressures.

Main Results:

• A model was successfully built to predict applied force based on Grip-ball pressure data.
• The model achieved a low error rate of 1.29 kg across a wide range of forces and initial pressures.
• Prediction accuracy was comparable to the gold standard Jamar dynamometer, especially in the frailty detection range.

Conclusions:

• The Grip-ball, coupled with its predictive model, offers a promising new method for grip strength assessment.
• The device demonstrates high accuracy and real-time data capabilities, suitable for clinical settings.
• Further testing in large populations is planned to establish clinical norms for the Grip-ball.