Publications by authors named "Ung Heo"
High-fidelity and comfortable recording of electrophysiological (EP) signals with on-the-fly setup is essential for health care and human-machine interfaces (HMIs). Microneedle electrodes allow direct access to the epidermis and eliminate time-consuming skin preparation. However, existing microneedle electrodes lack elasticity and reliability required for robust skin interfacing, thereby making long-term, high-quality EP sensing challenging during body movement.
View Article and Find Full Text PDFDevelopment of a Bioimpedance and sEMG Fusion Sensor for Gait Phase Detection: Validation with a Transtibial Amputee.
Annu Int Conf IEEE Eng Med Biol Soc
July 2023
Article Synopsis
- Accurate detection of gait phases is essential for controlling robotic prostheses effectively in lower limb amputees, and various sensing methods have been explored to enhance this detection process.
- This paper presents a novel wearable sensor combining bioimpedance and surface electromyography (sEMG) to improve gait phase detection accuracy, with tests conducted on a transtibial amputee.
- The results indicate that the combined use of bioimpedance and sEMG achieves the highest accuracy at 95.1%, surpassing the accuracy of either method used alone, highlighting the potential for enhanced motion intention detection in various applications.
sEMG-Triggered Fast Assistance Strategy for a Pneumatic Back Support Exoskeleton.
IEEE Trans Neural Syst Rehabil Eng
August 2022
To prevent lower back pain (LBP) in the industrial workplace, various powered back support exoskeletons (BSEs) have been developed. However, conventional kinematics-triggered assistance (KA) strategies induce latency, degrading assistance efficiency. Therefore, we proposed and experimentally evaluated a surface electromyography (sEMG)-triggered assistance (EA) strategy.
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