Our Research




2022 In the TEM Room for Synthesis Verification


Our Research Goal

Bio-signal Processing and Neurorehabilitation


─ Our main research interest is focused on a biomedical application in ischemic stroke. We process the motion bio-signal acquired from the ischemic stroke patients and span and merge these signals with cardiac physiological features using a non-contact radar. Based on the full understanding of bio-signal in ischemic stroke patients, we utilize low and high-intensity ultrasound to treat the stroke. Ultimately, we expect neurorehabilitation in the central nervous system using real biomedical applications.


Our Research Aims


─ Motion Analysis-based Rehabilitation Assessment

─ Non-contact Radar-based Cardiac Features Extraction

─ Acoustic Stimulus-based In Vivo Application


Motion Analysis-based

Rehabilitation Assessment

Motion Capture and Analysis

─ Smart motion capture system based on inertial sensors

─ Real-time motion analytics


Rehabilitation Assessment

─ Gait analysis-based neuroplasticity assessment and rehabilitation prediction

─ Classification of patients’ severity using a machine-learning algorithm

Radar ㅡ Smart Healthcare

Non-Contact Bio-signal Monitoring

Micro-movement radar data for bio-signal extraction

Deep learning-based bio-signal inference

  • LSTM(Long Short-Term Memory) model

Human presence detection

User data with guaranteed privacy

  • Presence or absence, counting, location, physical activity level, etc.

Ultrasound ㅡ

Advanced Biomedical Applications

Boiling Histotripsy (BH) for Locally Mechanical Tissue Fractionation
─ New generation for therapeutic ultrasound
─ New approach for cancer therapy through immunological effects by HIFU-induced cavitation

Acoustic-assisted Drug Delivery

─ Cavitation-mediated drug delivery in an ischemic stroke model

─ Different reactivity of the cavitation in asymmetric particles

Stress monitoring system

Stress Monitoring System
Stress monitoring system based on life logging and bio-signal
Police officer customized big data analysis

Stress Analysis
Autonomic nervous system responses and indicators analysis
Development of personalized real-time stress monitoring algorithm using artificial intelligence-based physiological synchronization