Topic
- Computing and Processing
- Components, Circuits, Devices and Systems
- Communication, Networking and Broadcast Technologies
- Power, Energy and Industry Applications
- Signal Processing and Analysis
- Robotics and Control Systems
- General Topics for Engineers
- Fields, Waves and Electromagnetics
- Engineered Materials, Dielectrics and Plasmas
- Bioengineering
- Transportation
- Photonics and Electrooptics
- Engineering Profession
- Aerospace
- Geoscience
- Nuclear Engineering
- Career Development
- Emerging Technologies
- Telecommunications
- English for Technical Professionals
Wonok Kang
Affiliation
Department of Health Science, and the Transdisciplinary Major in Learning Health Systems, Department of Healthcare Science, Graduate School, Rehabilitation Science Program, Korea University, Seoul, South Korea
Topic
Long-term Studies,Preclinical Studies,Brain Activity,Glucose Metabolism,Near Field Communication,PET-CT Scan,Parietal Cortex,Pulse Width,Temporal Lobe,Wireless Power,Analgesia,Analgesic Effect,Analog-to-digital Converter,Animal Studies,Back Of Rats,Base Station,Beat Frequency,Biocompatibility,Bladder Contraction,Bladder Pressure,Brain Regions,Brain Stimulation,Carrier Frequency,Changes In Glucose Metabolism,Conductive Gel,Control,Coronal Plane,Cystometry,Effective Pain Relief,Efficacy Of Stimulation,Electrical Stimulation,Electrode,Electrotherapy,Field Strength,Graphical User Interface,High Field,High-frequency Stimulation,High-temperature Test,Histological Analysis,Human Model,Hz Stimulation,Implantable Devices,Implantable Neurostimulator,Implantable System,Left Hemisphere,Load Voltage,Long-term Animal Studies,Long-term Brain,Long-term Stimulation,Median Change,
Biography
Sehyeon Kim received the B.S. degree in electronic engineering from Soongsil University, Seoul, South Korea, in 2018. She is currently working toward the Ph.D. degree (M.S.–Ph.D. joint program) in creative IT engineering with the Pohang University of Science and Technology, Pohang, South Korea. Her current research interests include brain-computer interface for rehabilitation medicine and deep neural networks.