Jung Hwal Shin

Jung Hwal Shin


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 October 2018 in Materials
Verified
Journal Article
Open access
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GKGeon Hwee Kim
Geon Hwee Kim
KKKanghyun Kim
Kanghyun Kim
ELEunji Lee
Eunji Lee
TATaechang An
Taechang An
WCWooSeok Choi
WooSeok Choi
JSJung Hwal Shin
Jung Hwal Shin
Brain‒machine interface (BMI) is a promising technology that looks set to contribute to the development of artificial limbs and new input devices by integrating various recent technological advances, including neural electrodes, wireless communication, signal analysis, and robot control. Neural electrodes are a key technological component of BMI, as they can record the rapid and numerous signals emitted by neurons. To receive stable, consistent, and accurate signals, electrodes are designed in accordance with various templates using diverse materials. With the development of microelectromechanical systems (MEMS) technology, electrodes have become more integrated, and their performance has gradually evolved through surface modification and advances in biotechnology. In this paper, we review the development of the extracellular/intracellular type of in vitro microelectrode array (MEA) to investigate neural interface technology and the penetrating/surface (non-penetrating) type of in vivo electrodes. We briefly examine the history and study the recently developed shapes and various uses of the electrode. Also, electrode materials and surface modification techniques are reviewed to measure high-quality neural signals that can be used in BMI.

30 September 2023 in Journal of Sensor Science and Technology
Verified
Journal Article
Open access
TKTaehyeun Kim
Taehyeun Kim
MHMinjong Hong
Minjong Hong
JSJung Hwal Shin
Jung Hwal Shin