We are #hiring for 1 JRF opening. Refer to the notification to check your eligibility. Interested candidates may share their a cover letter and resume at: joshid@iitd.ac.in #aiims #iitdelhi #dbt #job #jobalert #jobopening #hiringnow
Neuromechanics Research Lab (NRL) IIT Delhi
Research Services
Delhi , New Delhi 621 followers
Experimental and computational research in–prosthesis, neuromotor and cardiovascular disorders, alternative medicine.
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 – Intelligent Prosthesis, Neuromotor Disorders like – Parkinson’s, Stroke, Cerebral Palsy, and Spinal Cord Injury, 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.
- Website
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https://web.iitd.ac.in/~joshid/
External link for Neuromechanics Research Lab (NRL) IIT Delhi
- Industry
- Research Services
- Company size
- 2-10 employees
- Headquarters
- Delhi , New Delhi
- Type
- Government Agency
- Founded
- 2016
Locations
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Primary
Delhi , New Delhi 110016, IN
Employees at Neuromechanics Research Lab (NRL) IIT Delhi
Updates
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Congratulations to Bhaskar Pandey, a member of NRL, for publishing a research article entitled "A deep learning based experimental framework for automatic staging of pressure ulcers from thermal images" in Quantitative infrared thermography journal. The proposed work leverages the wound temperature information using thermal images for the DL-based automatic staging of pressure ulcers. For more details: https://lnkd.in/gdnTsQi4 Centre for Biomedical Engineering, IIT Delhi #ulcers #thermal #Imaging #deeplearning #biomedical #engineering
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We are #hiring for 1 Scientist C opening. Refer to the notification to check your eligibility. Interested candidates may share their a cover letter and resume at: joshid@iitd.ac.in #aiims #iitdelhi #icmr #job #jobalert #jobopening #hiringnow
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We are #hiring for 2 project openings. Refer to the notification to check your eligibility. Interested candidates may share their a cover letter and resume at: joshid@iitd.ac.in #aiims #iitdelhi #dbt #job #jobalert #jobopening #hiringnow
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We are #hiring for 2 JRF openings. Refer to the notification to check your eligibility. Interested candidates may share their a cover letter and resume at: joshid@iitd.ac.in #aiims #iitdelhi #dbt #job #jobalert #jobopening #hiringnow
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Smriti Bala, a doctoral candidate of NRL has recently published her work in IEEE Transactions on Neural Systems and Rehabilitation Engineering. In her work, Smriti has incorporated transfer learning into a DL model (MEFFNet) to forecast myoelectric indices of fatigue (both time and frequency domain) obtained during voluntary and FES-induced dynamic contractions in healthy and post-stroke subjects respectively. MEFFNet could forecast up to 22.62 seconds, 60 timesteps, in future for FES-induced contractions. Combining MEFFNet to wearable technology, prosthetics, robotics, stimulation devices, etc. can improve muscle fatigue monitoring. More details can be found at: https://lnkd.in/gh_FeVrH Prime Minister's Research Fellows (PMRF) Centre for Biomedical Engineering, IIT Delhi AIIMS (All India Institute of Medical Sciences, New Delhi) IEEE IEEE Engineering Medicine and Biology Society #Stroke #FES #Rehabilitation #Neurology
MEFFNet: Forecasting Myoelectric Indices of Muscle Fatigue in Healthy and Post-stroke During Voluntary and FES-Induced Dynamic Contractions - PubMed
pubmed.ncbi.nlm.nih.gov
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Notice: #Hiring #Research Fellow for #AI-Based #Diagnostic Project We are seeking a highly motivated and experienced Research Fellow to join our cutting-edge research team on the project "Antinuclear Antibody Immunofluorescence Patterns in Systemic Lupus Erythematosus: Diagnostic and Prognostic Evaluation using Artificial Intelligence." This collaborative effort, involving #AIIMS in New Delhi, #JIPMER in Puducherry, #SGPGIMS in Lucknow, and #IIT Delhi, is funded by #ICMR. The project aims to develop an AI-based algorithm for pattern recognition in medical images. Key Responsibilities: - Conduct research and analysis on image patterns. - Develop and validate AI-based algorithms using image processing techniques. - Manage and analyze large datasets. - Prepare and present research findings. - Collaborate with a multidisciplinary team across AIIMS, JIPMER, SGPGIMS, and IIT Delhi. Qualifications: - B. Tech with at least 2 years of relevant experience, or M. Tech in Computer Science, Electrical Engineering, Electronics Engineering, Instrumentation Engineering, or allied branches. - Strong background in image processing, computer vision, and artificial intelligence. - Excellent analytical and problem-solving skills. - Strong written and verbal communication abilities. - Qualifications may be relaxed for a suitable candidate. Location: Neuromechanics Research Lab, CBME, IIT Delhi Application Deadline: 31 July 2024 To apply, please send your CV and a cover letter to Bhaskar.Pandey@ird.iitd.ac.in. Join us in this exciting opportunity to advance research in medical image analysis using cutting-edge AI technology!
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Neuromechanics Research Lab (NRL) IIT Delhi reposted this
Congratulations Prof. Deepak Joshi for successfully translating your research to a clinically relevant and useful product. At CBME, our research is driven by a strong translational focus.
We are pleased to announce that the Wearable Gait Analysis technology, pioneered by Professor Deepak Joshi at the Centre for Biomedical Engineering (CBME), IIT Delhi, is making its way into the healthcare sector. This technology has been transferred through the Foundation for Innovation and Technology Transfer, IIT Delhi to Ripple Healthcare Pvt. Ltd. to bring this innovation to the market. This technology holds significant potential to revolutionize the approach to understanding and addressing mobility-related issues. It can analyze walking patterns and detect abnormalities in various neurological conditions impacting ambulation, including Parkinson’s, stroke, multiple sclerosis (MS), diabetes, spinal cord injury (SCI), cerebral palsy (CP), and more. The inclusion of haptics in the instrumented shoe helps improve gait and, consequently, independence. What makes this technology even more remarkable is its user independence. Regardless of shoe size, anyone can effectively utilize it. Plus, its wearable design ensures minimal movement artifacts and maximum comfort. This marks a significant stride in healthcare innovation, unlocking boundless opportunities to enhance patient mobility and independence. #HealthcareInnovation #WearableTech #GaitAnalysis #IITDelhi #Ripple Healthcare #Foundation for Innovation and Technology Transfer - IIT Delhi #Indian Institute of Technology, Delhi #Indian Institute of Technology Delhi Preeti Ranjan Panda Naveen Gopal Deepak Joshi Kaushal Kothari Prashant Singh Chauhan Seema Lamba Himani Vashisth Kiran S. Namita Gupta Ruchita Gupta Deepika Dhar
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Good news for the lab!! Our alumnus, Dr. Ashutosh Tiwari has been selected as a faculty at Indian Institute of Technology, Kharagpur. Dr. Ashutosh Tiwari was a PhD student at Neuromechanics Research Lab (NRL) IIT Delhi under the supervision of Prof. Deepak Joshi. Ashutosh, a recipient of several awards, including Gandhiyan Young Technological Innovation (GYTI), IIT Delhi Industry Day Award, and National Biomedical Research Competition Award, was associated with the NRL from 2017 to 2021 as a PhD scholar. Later he joined University of Illinois, Chicago as a postdoc. He has been granted two Indian patents during his association with the NRL. He has made significant contribution to the society through his work in GAIT analysis. We wish him all the best for his academic career in IIT KGP. Centre for Biomedical Engineering, IIT Delhi Indian Institute of Technology, Delhi Indian Institute of Technology, Kharagpur
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Our lab alumni, Rohan Khatavkar and Dr. ASHUTOSH TIWARI have recently published their work entitled " A Novel Kinematic Gait Parameter-Based Vibrotactile Cue for Freezing of Gait Mitigation among Parkinson's Patients: A Pilot Study" in IEEE Transactions on Haptics. In this work, they have developed and utilized a novel cueing kinematic gait parameter-based vibrotactile scheme for the mitigation of freezing of gait (FoG) for patients with Parkinson's disease (PD) in place of the standard audio-visual cues and closed-loop vibrotactile cues based on temporal gait events, making it ideal for real-world use. This novel scheme was implemented using indigenous instrumented shoes to drive vibrotactile cueing. They were successful in mitigating FoGs. IEEE Robotics and Automation Society #ieee #haptics #gait #gaitanalysis #vibrotactile #parkinson #biomedical #biomedicalengineering #neurology #research #researchers Find out more about their work through the following link: https://lnkd.in/gQhtPiM3
A Novel Kinematic Gait Parameter-Based Vibrotactile Cue for Freezing of Gait Mitigation among Parkinson's Patients: A Pilot Study
ieeexplore.ieee.org