S'identifier

Kishor Lakshminarayanan

Department of Sensors and Biomedical Tech,
School of Electronics Engineering,
Department of Sensors and Biomedical Tech, School of Electronics Engineering

Vellore Institute of Technology

BIOGRAPHY

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PUBLICATIONS

Median nerve and carpal arch morphology changes in women with type 2 diabetes: a case-control study.

Journal of ultrasound Sep, 2022 | Pubmed ID: 34472043

The effects of wrist position and radioulnar wrist compression on median nerve longitudinal mobility.

Clinical biomechanics (Bristol, Avon) Oct, 2022 | Pubmed ID: 36057239

The Effects of Subthreshold Vibratory Noise on Cortical Activity During Motor Imagery.

Motor control Jul, 2023 | Pubmed ID: 36801814

The Effect of Tactile Imagery Training on Reaction Time in Healthy Participants.

Brain sciences Feb, 2023 | Pubmed ID: 36831864

Evaluation of EEG Oscillatory Patterns and Classification of Compound Limb Tactile Imagery.

Brain sciences Apr, 2023 | Pubmed ID: 37190621

A finite element analysis of the carpal arch with various locations of carpal tunnel release.

Frontiers in surgery , 2023 | Pubmed ID: 37206350

The relationship between shear wave velocity in transverse carpal ligament and carpal tunnel pressure: A finite element analysis.

Medical engineering & physics Jun, 2023 | Pubmed ID: 37230698

Enhanced motor imagery of digits within the same hand via vibrotactile stimulation.

Frontiers in neuroscience , 2023 | Pubmed ID: 37360173

The effect of combining action observation in virtual reality with kinesthetic motor imagery on cortical activity.

Frontiers in neuroscience , 2023 | Pubmed ID: 37383098

Feasibility and usability of a virtual-reality-based sensorimotor activation apparatus for carpal tunnel syndrome patients.

PloS one , 2023 | Pubmed ID: 37819927

Editorial: Recent advancements in motor imagery.

Frontiers in neuroscience , 2023 | Pubmed ID: 37822348

Cortical activation and BCI performance during brief tactile imagery: A comparative study with motor imagery.

Behavioural brain research Feb, 2024 | Pubmed ID: 37979923

INSTITUTIONS

Vellore Institute of Technology

JOVE ARTICLES

Motor Imagery Performance Through Embodied Digital Twins in a Virtual Reality-Enabled Brain-Computer Interface Environment

Kishor Lakshminarayanan¹,

Rakshit Shah²,

Vadivelan Ramu¹,

Deepa Madathil³,

Yifei Yao⁴,

Inga Wang⁵,

Brahim Brahmi⁶,

Mohammad Habibur Rahman⁷

¹Department of Sensors and Biomedical Tech, School of Electronics Engineering, Vellore Institute of Technology,

²Department of Orthopaedic Surgery, University of Arizona,

³Jindal Institute of Behavioural Sciences, O. P. Jindal Global University,

⁴Soft Tissue Biomechanics Laboratory, Med-X Research Institute, School of Biomedical Engineering, Shanghai Jiao Tong University,

⁵Department of Occupational Science & Technology, University of Wisconsin-Milwaukee,

⁶Electrical Engineering, Collège Ahuntsic,

⁷Department of Mechanical Engineering, BioRobotics Lab, University of Wisconsin-Milwaukee

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Kishor Lakshminarayanan

.css-o250i3{font-size:18px;font-family:Open Sans,sans-serif;line-height:21.6px;}Department of Sensors and Biomedical Tech,School of Electronics Engineering,Department of Sensors and Biomedical Tech, School of Electronics Engineering

Vellore Institute of Technology

Motor Imagery Performance Through Embodied Digital Twins in a Virtual Reality-Enabled Brain-Computer Interface Environment

Department of Sensors and Biomedical Tech,
School of Electronics Engineering,
Department of Sensors and Biomedical Tech, School of Electronics Engineering