ABOUT US
Welcome
to the Neuromechanics Research Group at the Centre for Biomedical Engineering, IIT Delhi,
headed by Prof. Deepak Joshi. Our research group explores the experimental and
computational techniques in the following areas –
I.
Intelligent Prosthesis,
II.
Neuromotor Disorders
like – Parkinson’s, Stroke, Cerebral Palsy, and Spinal Cord Injury,
III.
Alternative Medicine –
Yoga, Meditation, Stress Detection.
We work on the neural characterization of balance and gait in various
neurodegenerative and neurodevelopmental diseases, whose theoretical outcomes
are then translated to rehabilitation, gait monitoring devices, and assistive
devices for patients with Parkinson’s disease (PD), Amputee, and Cerebral
Palsy (CP). Our research group also explores rehabilitation strategies for
upper and lower limbs through scientific and computational methods for stroke
and Spinal Cord Injured (SCI) patients.
Meanwhile, we are also investigating the therapeutic effects of
mediation and yoga on dire conditions like cognitive stress, which includes the
development of assistive devices to identify the sympathetic nervous system
(SNS) and parasympathetic nervous system (PNS) activation.
Apart from these, our work in cardiovascular health deals with effective
wearable sensing technologies, anomaly detection, and the inspection of the
electromechanical behaviour of cardiac muscles.
Recently, the group has been actively involved in machine learning
applications in various biomedical images and image processing. At first,
thermal images are used for wound assessment for pressure ulcer detection.
Later, image processing tools were utilized to characterize the dimensions of
wounds. Future work will involve
image processing for musculoskeletal injuries such as MRI, CT, X-ray, and
Ultrasound images.
Project advertisement: We have immediate positions
available for various position including JRF, SRF, Ph.D. in the area of
Neuromechanics. Ideal candidates should have
Electrical/Electronics/Mechanical/Computer science background. Expertise in
embedded system design/control system/signal processing/robotics/machine
learning is desired.
· Interested
B. Tech and M. Tech Students looking for thesis projects in these areas are
encouraged to directly contact.
·
Outside IITD students can
also apply for summer internship programs.
· Two Ph.D.
positions available in a funded
project (Assessment and prediction of recovery patterns in Spinal cord injury
patients) jointly with the University
of Zurich (Switzerland). The
candidate should have good hands-on in Signal Processing and Machine learning.
Knowledge of Biomechanics is a plus.
There is one time opportunity to travel to the
University of Zurich in the 2nd year of Ph.D.
· Positions also available in the recent project,
“Image processing for Antinuclear Antibody Immunofluorescence
Patterns”. The candidate should have a good knowledge in Image processing
and artificial intelligence.
· Feel free to contact (by email: joshid@iitd.ac.in) for any queries.
· LinkedIn- https://www.linkedin.com/company/neuromechanics-research-lab-nrl-iit-delhi/
Participants recruitment for research: Upper limb
amputees/lower limb amputees/stroke patients/ Parkinson’s patients.
If you like to become a
volunteer test subject, please contact us. The volunteer will be given Rs. 1000 INR per day based on his performance in the
experiments.
Available
facilities
Some of the facilities available with our group are as
follows.
1.
Electroencephalography (EEG) 64-channel wireless EEG
system (MOVE with actiCHamp from Brain
Products, Germany). |
2.
Electromyography (EMG) Delsys manufactured 12-channel wireless EMG system (Trigno). |
3. Digital
Goniometer Digital Goniometer from Biometrics. |
4.
8 Channels FES System (Functional
Electrical Stimulators) - RehaStim2 The RehaStim has 8 channels to stimulate up to 8 muscles with attached electrodes. |
Developed prototypes
Following prototypes are developed in the lab
1. Force-myography
(FMG) Force-myography
(FMG) is a method to register real-time body motions by measuring the
radially directed force distributions that are generated by muscle
contractions. |
2. Prosthetic
leg The
prosthesis was designed and developed ingeniously in CBME-IIT Delhi. The
prototype is experimentally tested on persons with transfemoral amputation
showing promising results. |
3. Instrumented
shoe The instrumented shoe (patented) is
developed to monitor gait analysis in real-life settings. Currently, the shoe is being
clinically validated in Parkinson's patient and Diabetic population. |
4.
Insole based foot pressure measurement system These
smart insoles (patented) are developed for the measurement of centre of
pressure (COP) and are validated against the gold standard Zebris Force
Plate. |