Automated Quantifiable Assessments of Sensorimotor Function Using an Instrumented Fragile Object

Area of Science:

• Biomedical Engineering
• Rehabilitation Science
• Neuroscience

Background:

• Accurate hand dexterity assessment is crucial for upper-limb hemiparetic stroke patient rehabilitation.
• Existing tests like the Box and Blocks Test primarily focus on gross motor speed, neglecting fine grip force regulation.
• Fine grip force control is essential for daily activities involving delicate object manipulation.

Purpose of the Study:

• To introduce the Electronic Grip Gauge (EGG), an instrumented object for assessing both gross and fine motor hand function.
• To evaluate the EGG's capability in measuring grip force, acceleration, and position during grasping tasks.
• To assess sensorimotor function in hemiparetic stroke patients using the EGG.

Main Methods:

• The Electronic Grip Gauge (EGG) is equipped with a load cell, accelerometer, and Hall-effect sensor for real-time data logging.
• The EGG measures grip force, acceleration, and relative position, with an audible alert for excessive force.
• The study involved evaluating implicit and gentle grasping in the paretic and non-paretic hands of three hemiparetic stroke patients.

Main Results:

• The paretic hand demonstrated longer transfer durations during implicit grasping for all participants.
• Two out of three participants exhibited significantly greater grip forces with their paretic hand during gentle grasping.
• Individual differences were observed in implicit grasping forces, highlighting personalized sensorimotor deficits.

Conclusions:

• The Electronic Grip Gauge (EGG) provides a quantitative measure of hand sensorimotor function, including grip force regulation.
• This technology represents a step towards more objective and personalized rehabilitation strategies for stroke survivors.
• Improved quantitative measures may lead to better patient outcomes in upper-limb recovery.