Closed-Loop Control of Functional Electrical Stimulation Using a Selectively Recording and Bidirectional Nerve Cuff Interface

• Published in: IEEE transactions on neural systems and rehabilitation engineering Vol. 32; pp. 504 - 513
• Main Authors: Hwang, Yi-Chin E., Long, Liam, Filho, José Sales, Genov, Roman, Zariffa, José
• Format: Journal Article
• Language: English
• Published: United States The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024; IEEE
• Subjects: Animals; Ankle; Artificial neural networks; Closed loops; Closed-loop; convolutional neural network; Deep learning; Electric contacts; Electric Stimulation; Electrical stimuli; Electrodes; Electrodes, Implanted; Feedback control; functional electrical stimulation; Machine learning; Movement - physiology; nerve cuff; Nerves; Neural networks; neuroprosthetic; Rats; Rats, Long-Evans; Recording; Sciatic nerve; Sciatic Nerve - physiology; Sensory feedback; Sensory neurons; Stimulation
• ISSN: 1534-4320; 1558-0210; 1558-0210
• DOI: 10.1109/TNSRE.2024.3355063

Discriminating recorded afferent neural information can provide sensory feedback for closed-loop control of functional electrical stimulation, which restores movement to paralyzed limbs. Previous work achieved state-of-the-art off-line classification of electrical activity in different neural pathwa...