Grip force transducer and grip force assessment system and method

• US 7,631,557 B2
• Filed: 01/24/2008
• Issued: 12/15/2009
• Est. Priority Date: 01/24/2007
• Status: Active Grant

• Current Assignee: John W. Mcchesney, Louis E. Murdock, Mark Debeliso
• Original Assignee: John W. Mcchesney, Louis E. Murdock, Mark Debeliso
• Inventors: DeBeliso, Mark, McChesney, John W., Murdock, Louis E.
• Primary Examiner(s): NOORI, MASOUD H
• Application Number:
  US12/019,520
• Publication Number:
  US 20090025475A1
• Time in Patent Office: 691 Days
• Field of Search: 733/700.2, 73760-860, 7337901-37909
• US Class Current: 73/379.02
• CPC Class Codes: A61B 2562/0247 Pressure sensors
• CPC Class Codes: A61B 2562/046 in a matrix array
• CPC Class Codes: A61B 5/225 of the fingers, e.g. by monitoring hand-grip force
• CPC Class Codes: A61B 5/7435 Displaying user selection data, e.g. icons in a graphical user interface

Abstract

A grip force assessment device, method and system that can provide a grip force map image presenting a detailed image of the complex grip capability/capacity of a human hand including the palm and all digits improving over existing assessment systems and their attendant inaccuracy, poor reliability, and lack of meaningful clinical relevance. The grip force assessment system includes a grip force transducer including a high-resolution tactile array that produces a high-resolution grip force signal. A processing device processes, analyzes and outputs grip force data. A display provides a grip force map image showing distribution of individual finger function relative to entire hand function. The grip force transducer includes a high-resolution tactile sensor wherein the greatest distance between adjacent pressure sensing nodes is in the range of 1.0 mm to 10.0 mm.

Claims

1. A method for grip force assessment employing a grip force assessment system including the steps of:

exerting a gripping force on a grip force transducer including a high-resolution tactile array generating a high-resolution grip force signal;

inputting the high-resolution grip force signal to the signal conditioning module;

conditioning the high-resolution grip force signal producing grip force data;

inputting grip force data to a processor; and

processing the grip force data, performing a numerical analysis of said grip force data; and

outputting grip force data representative of individual finger function relative to entire hand function.

2. The method for grip force assessment of claim 1 wherein the step of conditioning the high-resolution grip force signal includes an additional step selected from the list of steps including amplification of the high-resolution grip force signal, modulation of the high-resolution grip force signal, multiplexing of the high-resolution grip force signal and digitizing the high-resolution grip force signal.

3. The method for grip force assessment of claim 1 wherein the step of processing the grip force data includes performing a statistical analysis of the grip force data.

4. The method for grip force assessment of claim 1 wherein the step of processing the grip force data includes generating a grip force map image representative of contact force distribution of individual finger function relative to entire hand function.

5. The method for grip force assessment of claim 1 wherein the step of displaying the grip force data includes:

generating a grip force map image representative of contact force distribution of individual finger function relative to entire hand function; and

manipulating the grip force map image.

6. The method for grip force assessment of claim 1 wherein the step of processing the grip force data includes generating a real time grip force map image representative of contact force distribution of individual finger function relative to entire hand function.

7. The method for grip force assessment of claim 1 also including the step of printing a grip force map image.

8. The method for grip force assessment of claim 1 also including the step of storing grip force data.