Control basado en HD-sEMG utilizando músculos del cuello y redes neuronales superficiales: Evaluación del rendimiento...

Área de la Ciencia:

• Neuroscience
• Rehabilitation Engineering
• Biomedical Engineering

Sus antecedentes:

• Functional Electrical Stimulation (FES) is crucial for restoring function in individuals with spinal cord injuries.
• Developing intuitive and effective control systems is essential for maximizing independence through FES-assisted devices.
• Existing control systems often require invasive methods or extensive training, limiting their widespread adoption.

Objetivo del estudio:

• To evaluate the efficacy of the integrated Recursive Rehabilitation Control Network (RRC-Net) / High-Density Electrode Array (HDE-Array) system.
• To assess the system's suitability for controlling multi-Degree of Freedom (DoF) tasks as proxies for FES control.
• To determine if healthy and tetraplegic individuals exhibit comparable performance using the RRC-Net/HDE-Array system.

Principales métodos:

• The study involved 10 tetraplegic and 8 healthy subjects performing two control tasks: a cursor task and a 3-DoF hand kinematic model task.
• High-Density surface Electromyography (HD-sEMG) signals from the neck were used to train the RRC-Net neural network for movement estimation.
• Performance metrics including Mean Global Distance (MGD), Mean Angular Distance (MAD), Task Completion Score (TCS), and Normalised Distance (ND) were analyzed.

Principales resultados:

• Both healthy and tetraplegic subjects achieved high performance levels in both cursor and hand control tasks.
• No statistically significant differences in performance were observed between healthy and tetraplegic participants for either task.
• Specific p-values indicated high similarity in performance: MGD (p=0.93), MAD (p=0.77), TCS (p=0.68), and ND (p=0.63).

Conclusiones:

• The RRC-Net/HDE-Array system demonstrates significant potential for enhancing rehabilitation independence in individuals with spinal cord injuries.
• The non-invasive nature, simplicity, and comfort of the system make it a promising tool for controlling assistive devices.
• The system's effectiveness and comparable performance across user groups suggest a viable pathway for restoring functional control.