Low-Cost Dynamometer for Measuring and Regulating Wrist Extension and Flexion Motor Tasks in Electroencephalography...

Area of Science:

• Neuroscience
• Biomedical Engineering
• Rehabilitation Technology

Background:

• Brain-computer interfaces (BCIs) interpret electroencephalographic (EEG) signals for controlling prosthetic devices.
• Variations in movement force, speed, and range can lead to misinterpretations of EEG signals during BCI control.
• Standardizing movement parameters is crucial for improving the accuracy and reliability of EEG-based BCI systems.

Purpose of the Study:

• To design, construct, and evaluate a novel dynamometer, the IsoReg, for regulating wrist extension (WE) and wrist flexion (WF) movements.
• To assess the IsoReg's ability to control movement parameters and improve EEG signal interpretation in BCI applications.
• To provide a low-cost method for measuring and regulating movements in neuromuscular studies.

Main Methods:

• The IsoReg was developed to restrict hand movements to isometric WE and WF, controlling speed and range of motion.
• A dual-load cell system measures movement force, calculating and displaying the percentage of maximum voluntary contraction.
• The device's linearity, measurement accuracy, and performance were evaluated with 14 participants under typical EEG experimental conditions.

Main Results:

• The IsoReg demonstrated consistent linearity between applied and measured forces with a mean accuracy of 97%.
• The visual force gauge achieved a mean accuracy exceeding 98.66% in normalizing force measurements.
• Participants successfully controlled motor tasks using the IsoReg with a mean accuracy of 89.90%, minimizing force variations.

Conclusions:

• The IsoReg effectively regulates isometric hand movements, ensuring consistent force, speed, and range during EEG recordings.
• This standardization significantly reduces variability in EEG signals, leading to improved neural signal interpretation for BCI control.
• The IsoReg presents a cost-effective solution for enhancing precision in neuromuscular studies and advancing BCI technology.