The research of Prof. DeWeerth and his group at the Georgia Institute of Technology focused on the development of neural prosthetics and wearable robotic systems that augment the closed-loop control and optimization of human and animal movement, particularly rhythmic movements (e.g. locomotion). They created and implemented real-time models of the neural sensorimotor systems that generate and modulate these movements, and fabricate interfacing technology for stimulating and recording from neural tissue and muscles.

• Circuitry and Methods for the Simultaneous Electrical Recording and Stimulation of the Nervous System
• Stretchable Electrode Arrays for Stimulating and Measuring Electromyographic Activity
• Closed-loop Stimulation for the Patients with Essential Tremor, based on the Long-term Monitoring of Tremor and Daily Activity
• Closed-loop Gait Optimization Using Artificial Sensory Feedback with a Leg Prosthesis
• Neural Control of Locomotion Via Spinal Stimulation