We are a multidisciplinary research group that uses control theory, data-driven modeling, biomechanics, and robotics tools to design rehabilitation interventions for people with neurological disorders, including Spinal Cord Injury, Stroke, Multiple Sclerosis, Essential Tremor, and Parkinson’s disease. Our primary research focuses on controlling assistive devices that involve peripheral electrical stimulation and/or a wearable robot with physiological sensors as feedback. Ongoing multiple projects include

  • a lower body powered exoskeleton that works in tandem with functional electrical stimulation (FES) of the quadriceps muscle and thus compensates for the muscle fatigue,
  • Use ultrasound imaging to quantify muscle state, including FES-induced muscle fatigue and voluntary effort, and incorporate it as feedback to control FES or a wearable powered exoskeleton.
  • modeling and control of afferent muscle stimulation for tremor suppression,
  • control of an acoustically-driven microrobot for intravascular neuromodulation.

 

Research Highlights

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News

  • We have multiple conference presentations in RehabWeek Chicago, ICRA, and ACC this Summer.
  • Drs. Kesar (MPI)/Sharma (MPI)  win an NIH R21 Grant on New FES Control Algorithms for Ankle Assistance for Persons with Stroke

Recent Publications

  • Q. Zhang, N. Hakam, O. Akinniyi, A. Iyer, X. Bao, N. Sharma, “AnkleImage – An ultrafast ultrasound image dataset to understand the ankle joint muscle contractility,” Scientific Data, accepted
  • A. Iyer, X. Xue, V. Ganesh, C. Gallippi, X. Jiang, D. Roque, N. Sharma, “Ultrasound Imaging Triggered Tremor Suppression with Personalized Afferent Stimulation Frequency,” IEEE Transactions on Biomedical Engineering, accepted
  • S. Moon, X. Xue, V. Ganesh, D. Shukla, B. C. Kreager, Q. Cai, H. Wu, Y. Zhu, N. Sharma, X. Jiang, “Ultrasound-compatible Electrode for Functional Electrical Stimulation,” Biomedicines, 12, no. 8: 1741, 2024.