Evaluation and Validation of the Developed Neural Interface Systems using Animal Models or Human Subjects
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All animal experiments have been approved by Institutional Animal Care and Use Committee (IACUC).
This page shows neural interface electrodes and experimental setup for system evaluation. I developed and/or customized all the electrodes used for experiments.
Edge AI-Based Closed-Loop Neural Interface System for Gait Rehabilitation
Edge AI-Based Closed-Loop Neural Interface System for Gait Rehabilitation
after Spinal Cord Injury (2021-2023) @TAMU
after Spinal Cord Injury (2021-2023) @TAMU
Keywords: Edge-AI, Edge Impulse, Dual-Core MCU, STM32H7, STM32L4, Gait Rehabilitation, Closed-Loop E-Stim
Wireless Stance Detection Device for Closed-loop E-Stim (2018-2019) @ TAMU
Wireless Stance Detection Device for Closed-loop E-Stim (2018-2019) @ TAMU
Keywords: Stance Detection, Bluetooth, MCU, Capacitive Touch
Realtime Gait Analysis Software (2017-2018) @KIMM
Realtime Gait Analysis Software (2017-2018) @KIMM
Keywords: Gait Analysis, Optical Recording, Hip Angle, Knee Angle, Ankle Angle
Development of Implantable Neural Signal Acquisition System
Development of Implantable Neural Signal Acquisition System
(2011-2014) @KIST
(2011-2014) @KIST
Keywords: Implantable System, MICS Band, Neural Signal Recording
These movie clips are part of the presentation materials that I used during the oral presentation
These two videos (left, middle) show cutaneous afferent electroneurogram (ENG) signals at the sciatic nerve generated by mechanical stimulation with a brush under anesthesia: without transcutaneous wireless charging (LEFT), and with transcutaneous wireless charging (MIDDLE). Transcutaneous wireless charging is essential to recharge a battery in the implantable device. This experiment shows that we can record stable ENG signals even during transcutaneous wireless charging. The right side video shows ENG recording from a freely walking rat.
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