ADVANCING HEALTHCARE THROUGH INTELLIGENT WEARABLES
Presents
RehaSense
AI-Enabled Self-Powered
Rehabilitation Platform
RehaSense is an intelligent wearable rehabilitation platform integrating self-powered sensing and AI-driven analytics for objective hand function assessment and rehabilitation monitoring.
Self Powered
Battery-free sensing platform
Artificial Intelligence
Intelligent rehabilitation analytics
Peer Reviewed
SCIE Indexed Publication
Proof of Concept
Laboratory validated prototype
5
Integrated TENG Sensors
AI
Intelligent Analytics
SCIE
Indexed Publication
PoC
Validated Prototype
Rehabilitation Needs Better Data
Every year, millions of patients recovering from stroke, neurological disorders, musculoskeletal injuries and age-related conditions undergo rehabilitation. Despite advances in therapy, rehabilitation assessment still relies heavily on subjective clinical evaluation and intermittent measurements, making it difficult to objectively quantify recovery and personalize rehabilitation programs.
2.4 Billion+
People worldwide could benefit from rehabilitation during their lifetime.
1.2 Million+
Individuals in India require upper-limb rehabilitation annually.
How Rehabilitation is Currently Assessed
Goniometer
Joint Range of Motion
Measures finger and joint angles during scheduled clinical visits. Since measurements are taken only intermittently, continuous rehabilitation progress cannot be monitored.
Grip Dynamometer
Grip Strength Measurement
Quantifies maximum grip strength but does not capture finger-level motion, movement quality or functional rehabilitation performance.
Clinical Observation
Therapist Assessment
Rehabilitation progress is visually assessed using therapist experience and clinical scoring systems, introducing subjectivity and inter-observer variability.
Manual Documentation
Paper-Based Records
Rehabilitation records are maintained manually, limiting long-term trend analysis, remote monitoring and evidence-based clinical decision making.
The Gap
Existing rehabilitation tools provide only isolated measurements during scheduled clinical visits. They fail to continuously quantify hand movement, finger bending, functional recovery and rehabilitation progress, resulting in limited objective information for clinicians.
Clinical Impact
- ✓ Limited insight into rehabilitation progress
- ✓ Delayed clinical decision making
- ✓ Difficulty personalizing therapy
- ✓ Poor long-term recovery tracking
- ✓ Reduced patient engagement
- ✓ Lack of quantitative rehabilitation metrics
Unmet Clinical Need
Objective & Quantitative Rehabilitation Monitoring
Healthcare providers require an intelligent wearable rehabilitation platform capable of continuously measuring finger movement, grip strength and functional recovery, while providing clinicians with objective, AI-driven insights for evidence-based rehabilitation.
This unmet clinical need inspired the development of
RehaSense
Introducing RehaSense
A next-generation rehabilitation platform combining wearable sensing, AI-powered analytics and cloud-based clinical monitoring to transform subjective rehabilitation into objective recovery insights.
Smart Rehabilitation Glove
Flexible wearable glove integrating multiple triboelectric sensors to continuously monitor finger movement, bending angles and grip strength during rehabilitation.
AI-Powered Analytics
Advanced algorithms transform rehabilitation exercises into quantitative recovery metrics, enabling objective progress tracking and intelligent recovery assessment.
Clinical Dashboard
Secure cloud-based dashboard for therapists and clinicians to visualize rehabilitation trends, generate reports and remotely monitor patient recovery over time.
Finger-Level Analytics
AI Recovery Insights
Quantitative Monitoring
Self-Powered Wearable
From Research to Reality
RehaSense has successfully progressed from research into a functional proof of concept. The technology demonstrates the feasibility of intelligent hand rehabilitation monitoring using wearable self-powered sensing technology.
Functional Prototype Successfully Demonstrated
Laboratory validation confirms the feasibility of RehaSense for objective rehabilitation monitoring. The current prototype demonstrates continuous monitoring of finger movement and grip strength through wearable self-powered sensing.
Peer-Reviewed Publication
The core technology behind RehaSense has been scientifically validated through publication in a peer-reviewed SCIE-indexed journal, providing a strong research foundation for future product development and clinical translation.
Journal
Microelectronic Engineering
Elsevier • SCIE Indexed
DOI
10.1016/j.mee.2023.111992
Development Roadmap
Our focus is to transform the current proof of concept into a clinically validated and commercially deployable rehabilitation platform.
Research
Completed
Proof of Concept
Completed
Prototype
Optimization
Current Focus
Clinical
Validation
Next Phase
Commercialization
Future Goal
Building the Future of Intelligent Rehabilitation
Medtrix Technologies is committed to advancing RehaSense from a validated proof of concept into a clinically deployable rehabilitation platform through continued product development, strategic collaborations, and clinical validation.
Leading Innovation in Intelligent Healthcare
Medtrix Technologies is founded with the vision of translating cutting-edge biomedical engineering research into intelligent, accessible and clinically impactful healthcare technologies.
Dr. Akshpreet Kaur
Founder & CEO
Medtrix Technologies Pvt. Ltd.
Visvesvaraya Postdoctoral Fellow
MeitY, Government of India
Ph.D. Electrical & Electronics Engineering
Panjab University, Chandigarh
DST INSPIRE Fellow
During Doctoral Research
Researcher • Engineer • Entrepreneur
Dr. Akshpreet Kaur is a biomedical engineering researcher, innovator and entrepreneur dedicated to advancing self-powered wearable healthcare technologies. Her work focuses on wearable sensing, biomedical instrumentation, rehabilitation engineering, energy harvesting and the translation of academic research into clinically relevant medical technologies through interdisciplinary research, international collaboration and innovation.
8+
Journal Publications
155+
Google Scholar Citations
8
H-index
2
Book Chapters
25.8
Cumulative Impact Factor
Global
Research Collaborations
Awards & Recognition
International Travel Award
International Workshop of Advanced Materials (IWAM), UAE (2025)
Best Poster Award
Engineered Materials for Sustainable Development (EMSD), PEC Chandigarh (2024)
Best Poster Award
Young Scientist Conference, India International Science Festival (Government of India)
Best Poster Award
ICTN-KLC, IIT Madras (2023)
First Prize
Student Innovation Festival, India International Science Festival (2023)
Gold Medal
Master of Engineering, Panjab University
Best Poster Award
ICNETS, VIT Chennai (2017)
Second Prize
Anveshan Student Research Convention, Panjab University (2016)
International Research Engagements
Research dissemination, international collaborations and invited presentations at globally recognized universities and conferences have strengthened the scientific foundation of Medtrix Technologies and accelerated the translation of research into healthcare innovation.
University of Oxford
Delivered an invited oral presentation on Triboelectric Nanogenerators for Sports Wearables during the Podium Institute Conference on Sports Medicine & Technology (2024).
University of Cambridge
Presented innovation pitch and research poster at the Cambridge Wearable Innovation Forum, showcasing next-generation wearable healthcare technologies (2025).
Nottingham Trent University
Visiting Exchange Researcher under the UKIERI–SPARC Programme, contributing to international collaborative research on wearable biomedical technologies (2024).
Edinburgh Napier University
Delivered an invited research talk on wearable and implantable triboelectric nanogenerators in collaboration with international researchers (2024).
Professional Profiles
Vision
"Medtrix Technologies was founded with a vision to bridge the gap between academic research and real-world healthcare. By integrating intelligent wearable systems, self-powered sensing technologies and artificial intelligence, we aim to develop accessible, clinically impactful solutions that transform rehabilitation and improve patient outcomes."
Dr. Akshpreet Kaur
Founder & CEO, Medtrix Technologies Pvt. Ltd.