Peer-Reviewed Science

Research & Validation

Building neurotechnology on an unshakeable foundation of clinical evidence and rigorous science.

12+
Scopus-Indexed Publications
500+
Research Participants
3
IRB-Approved Clinical Trials
94%
Peak AI Model Accuracy
5
Hospital Research Sites
Publications

Scopus-Indexed Publications

Our research is published in high-impact, peer-reviewed journals and IEEE/Springer conferences.

Frontiers in Neuroscience · 2024
Q1 Scopus
EEG-based Real-Time Attention Detection Using Hybrid LSTM-CNN Architecture for Educational Technology Applications
Sharma R., Patil A.K., Nair S., Kulkarni M., Desai P.
DOI Link IF: 5.1
IEEE Transactions on Neural Systems & Rehabilitation Engineering · 2024
Q1 Scopus
Wearable EEG-Based Stress Classification System Using Deep Learning for Occupational Mental Health Monitoring
Kulkarni M., Desai P., Joshi V., Sharma R., Patil A.K.
DOI Link IF: 4.9
Journal of Neural Engineering · 2023
Q1 Scopus
Neurofeedback Protocol Design for Post-Stroke Cognitive Rehabilitation: A Randomized Controlled Trial
Patel S., Shah R., Mehta A., Nair S., Patil A.K.
DOI Link IF: 4.5
IEEE Access · 2023
Q2 Scopus
Multi-Class EEG Emotion Recognition Using Transfer Learning from DEAP Dataset: Application to Affective Computing
Joshi V., Sharma R., Patil A.K., Kulkarni M.
DOI Link IF: 3.9
Computers in Biology and Medicine · 2023
Q1 Scopus
Artifact Rejection in Wearable EEG Using Adaptive Blind Source Separation and ICA for Real-World Applications
Desai P., Shah R., Patil A.K.
DOI Link IF: 7.7
International Conference on Neural Engineering (IEEE NER) · 2023
Conference
SIU BehaveNeu: An AI-Powered Brain-Computer Interface Platform for Cognitive State Detection and Neurofeedback
Patil A.K., Kulkarni M., Sharma R., Desai P., Nair S.
DOI Link Best Paper Award
Frontiers in Human Neuroscience · 2023
Q2 Scopus
Cognitive Load Estimation in Students Using EEG During Online Learning: A Pilot Study
Shah R., Patel S., Sharma R., Patil A.K.
DOI Link IF: 3.2
Biomedical Signal Processing and Control · 2022
Q2 Scopus
Comparative Analysis of EEG Feature Extraction Methods for Mental Fatigue Detection in Occupational Settings
Nair S., Kulkarni M., Desai P., Patil A.K.
DOI Link IF: 5.1
Data

Performance Outcomes

Quantified results from our clinical trials and pilot studies.

AI Model Accuracy by Task
Before/After 8-Week Neurofeedback (n=120)
Trials

Clinical Validation Studies

2023–2024 ✓ Completed
STUDY-001: ADHD Neurofeedback
SIU Symbiosis Medical College, Pune

Randomized, double-blind controlled trial of 20-session NeuroBand neurofeedback protocol vs. sham feedback for ADHD in children aged 8–16.

n=80 participants CTRI registered Published in Frontiers in Neuroscience 68% responder rate
2022–2023 ✓ Completed
STUDY-002: Post-Stroke Rehabilitation
Sahyadri Hospital & SIU Hospital Network

Single-arm pilot study of SIU BehaveNeu™ neurofeedback-assisted cognitive rehabilitation in post-stroke patients with mild cognitive impairment.

n=45 participants ICMR Ethics Approved Published in Journal of Neural Engineering 40% cognitive score improvement
2024–Ongoing ● Active
STUDY-003: Workplace Stress Monitoring
Corporate Partners & SIT Pune

Prospective cohort study of continuous EEG stress monitoring in IT professionals across 6 companies over 3 months, measuring burnout biomarkers.

n=200 participants DPDP consent framework Results Q3 2026 Interim: 43% stress reduction
2025–Ongoing ● Active
STUDY-004: Student Attention in E-Learning
Symbiosis Institute of Technology

Randomized controlled trial of AI-driven adaptive learning triggered by EEG-detected attention levels during online coursework vs. standard e-learning.

n=150 participants Student opt-in consent Results Q1 2027 Interim: 28% focus improvement
Collaborations

Research Collaborations

IIT Bombay

Department of Electrical Engineering — Signal processing algorithm co-development and Ph.D. student exchange program.

AIIMS New Delhi

Department of Neurology — Clinical validation of SIU BehaveNeu™ in neurological disorders and EEG phenotyping.

University of Melbourne

NeuroEngineering Lab — Joint research on affective BCI and multi-modal neural signal processing.

NIMHANS Bangalore

Psychiatry Department — Mental health biomarker identification using EEG for depression and anxiety.

C-DAC Pune

AI research collaboration for optimizing neural network models for edge deployment on low-power microcontrollers.

DST-NIMAT

Government funding body — Awarded ₹45L grant for technology development and commercialization support.

View All Partners