https://dspace.iiti.ac.in/handle/123456789/9536 2026-10-20T23:14:18Z 2026-10-20T23:14:18Z Talukdar, Kallontai https://dspace.iiti.ac.in/handle/123456789/19390 2026-10-15T12:13:56Z 2026-05-22T00:00:00Z

Title: Diabetic-mimicking inflammatory conditions modulate skeletal muscle differentiation and in vivo muscle morphology [RESTRICTED THESIS-01 Year] Authors: Talukdar, Kallontai Abstract: [Abstract is restricted for 01 Year, due to IPR related issue]

2026-05-22T00:00:00Z Choudhary, Krishan Kumar https://dspace.iiti.ac.in/handle/123456789/19348 2026-10-15T10:58:06Z 2026-05-22T00:00:00Z

Title: EMG based biomechanical analysis of forearm joint Authors: Choudhary, Krishan Kumar Abstract: Muscle action is at the base of what we see in terms of mobility, independence, and overall quality of health. As muscles are no longer able to produce coordinated force or movement, what used to be easy daily tasks becomes a great challenge. This Muscle activity get affected by some neuromuscular diseases like stroke. Stroke is one of the main neurology based health issues that which normal muscle action breaks down, we see weakness, lack of co-ordination and impaired joint control. These issues greatly reduce what a person can do in terms of function and health, which is why effective rehab is so important for getting movement back and also to prevent long term disability. In order to do that best we need to have very accurate measurements of muscle action and joint movement. Electromyography (EMG) is a non-invasive way to get that information out of the muscle and out to the health care team, also among that Surface EMG (sEMG) is very useful for continuous, safe, and wearable use in the clinical and home based rehab settings.

2026-05-22T00:00:00Z Pawar, Vinit Pratap https://dspace.iiti.ac.in/handle/123456789/19347 2026-10-15T10:38:53Z 2026-05-22T00:00:00Z

Title: Development of a device for hepatic fat quantification using machine learning and single-element ultrasound Authors: Pawar, Vinit Pratap Abstract: Metabolic dysfunction-Associated Steatotic Liver Disease (MASLD) is a major global health concern, with a prevalence of over 30% in many regions, including India, where it is linked to the diabetes epidemic. Studies have documented a MASLD prevalence ranging from 30% in the general populace to over 60% within high-risk diabetic cohorts. The clinical importance of MASLD lies in its potential to progress from simple, reversible fat accumulation (steatosis) to irreversible, life-threatening conditions such as cirrhosis and liver cancer. Early screening is therefore critical. Current clinical standards for MASLD diagnosis include biopsy, which is limited by sampling errors and invasiveness, and Magnetic Resonance Imaging (MRI), which is constrained by high cost and limited availability. Ultrasound (US) imaging is a promising alternative modality, however, its use remains largely confined to hospital settings due to operator dependency and regulatory constraints in certain regions. In this work, we developed a novel AI-enabled Single Element Ultrasound (SEUS) device for automated hepatic fat detection. This non-imaging approach can help overcome operator dependency and reduce the regulatory challenges associated with US imaging.

2026-05-22T00:00:00Z Garg, Rohit https://dspace.iiti.ac.in/handle/123456789/19344 2026-10-14T12:27:08Z 2026-05-22T00:00:00Z

Title: Biomechanical analysis of limb movements using modular sensor framework [RESTRICTED THESIS-01 Year] Authors: Garg, Rohit Abstract: [Abstract is restricted for 01 Year, due to IPR related issue]

2026-05-22T00:00:00Z