Brief Intro
Since 2008 I have been developing implantable/wearable WIRELESS/WIRED neural interface systems. I successfully developed various biosignal recording devices measuring EEG, EMG, ECG, SpO2, ENG, and Electrocolonogram. During my Ph.D. program, I worked on developing and evaluating CLOSED-LOOP NEURAL INTERFACE SYSTEMS for regaining weakened body functions such as gait and peristaltic movements of the colon after spinal cord injury.
Representative Projects
Skill Sets
Bioinstrumentation Circuit Design: ECG, EMG, EEG, SpO2, ENG, Electrocolonogram
Signal Conditioning (MCU Interface) Circuit: Sensor to ADC (MCU), DAC (MCU) to Actuator
Microcontrollers (MCU): ARM Cortex-M, STM32H7, STM32L4, ATmega128, MSP430, nRF52832, NodeMCU, Arduino
Wireless Topologies (Data & Power): Bluetooth, Zigbee, MICS (Medical Implant Communication Service), Qi charging
GUI Design: System monitoring and control
Programming / Tools: Python, C, C++, C#, LabVIEW, MATLAB, Lua, STM32CubeIDE, STM32CubeMX, Edge Impulse
Circuit Design Tools: Altium, EAGLE, OrCAD (P-Spice, Capture), NI Multisim, Analog Signal Conditioning
Neural Interface Rec/Stim Electrode Fabrication: CNS (brain, spinal cord), PNS (peripheral nerve, muscle), ANS (colon)
Real-time Gait Analysis Software
Cleanroom Fabrication
Animal Experiments: Surgery (Rabbit, Rat, Mouse), Animal Training, Gait analysis
Data Analysis
