71+
SCI Publications
Research areas across bio-signal AI and neuromodulation
Research at our core
NeuroTx combines Neural Decoding AI, clinical research, and closed-loop neuromodulation to transform complex bio-signals into personalized neuro-intervention solutions.

71+
Research areas across bio-signal AI and neuromodulation
66+
Issued and pending intellectual property
4+
Clinical network for research collaboration
93%
AI-based sleep staging research metric
82%
Sleep support research outcome
Our research & technology
NeuroTx translates multi-modal bio-signals into personalized intervention strategies through AI-based decoding, biomarker analysis, and adaptive closed-loop neuromodulation.

Multi-signal sensing
EEG, ECG, PPG, EMG, HRV, and actigraphy signals are collected.
Neural Decoding AI
Neural Decoding AI analyzes neural states and biomarkers.
Biomarker-based models
Biomarker-based models adapt to individual needs.
Closed-loop neuro-intervention
Closed-loop VNS, BCI, and digital solutions support personalized neuro-intervention.
AI engine for decoding neural and autonomic activity.
EEG, ECG, PPG, EMG, HRV, and motion data.
Individual models built around real-time physiology.
Adaptive VNS timing and parameter guidance.
Brain-signal-based control for mobility, rehabilitation, and communication.
Clinical evidence
NeuroTx research spans Neural Decoding AI, closed-loop VNS, multi-signal analysis, and BCI technology to support personalized neuro-intervention.
See all research areas
Research focused on AI + VNS-based sleep quality and sleep efficiency support.

Non-invasive neuromodulation technology that adjusts stimulation timing and parameters based on bio-signals.

AI-based analysis engine that decodes multi-modal signals such as EEG, ECG, PPG, and HRV.

Integrated AR-BCI control technology designed to support mobility, rehabilitation, and communication.
Featured publications
Choel-Hui Lee, Daesun Ahn, Hakseung Kim, Eun Jin Ha, Jung-Bin Kim, Dong-Joo Kim
EXPERT SYSTEMS WITH APPLICATIONS (2024)Min-Kyung Jung, Tae Hoon Roh, Hakseung Kim, Eun Jin Ha, Dukyong Yoon, Chan Min Park, Se-Hyuk Kim, Namkyu You, Dong-Joo Kim
COMPUTERS IN BIOLOGY AND MEDICINE (2023)Seho Lee, Hakseung Kim, Jung Bin Kim, Dong-Joo Kim
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2023)Min-Kyung Jung, Daesun Ahn, Chan Min Park, Eun Jin Ha, Tae Hoon Roh, Nam Kyu You, Dukyong Yoon, Hakseung Kim, Se-Hyuk Kim, Dong-Joo Kim
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2022)Choel-Hui Lee, Hyun-Ji Kim, Young-Tak Kim, Hakseung Kim, Jung-Bin Kim, Dong-Joo Kim
Research network
NeuroTx works with clinical, engineering, and research partners to advance personalized neuro-intervention from research to commercialization.
Contact research teamNetwork areas are presented as collaboration categories and commercialization pathways.
Science in action
NeuroTx processes multi-modal bio-signals through Neural Decoding AI to generate personalized insights and adaptive intervention strategies.
Real-time neural decoding
Adaptive insights
Continuous learning
Neural Decoding Dashboard
Bio-signal Overview
Awake 7%
REM 21%
Light 50%
Deep 22%
Neuro-State Balance
Balanced
Optimal range
HRV
62
ms
Respiratory Rate
14.2
brpm
Skin Temp
+0.3
C from baseline
Recovery Index
91
Optimal
Research data visualization, individual results may vary.

Built on science. Driven by impact.
Discover how NeuroTx combines Neural Decoding AI, closed-loop VNS, clinical research, and BCI technology to build personalized neuro-intervention solutions.