Anmelden

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

Kishor Lakshminarayanan has not added Biography.

If you are Kishor Lakshminarayanan and would like to personalize this page please email our Author Liaison for assistance.

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

Bioengineering

Datenschutz

Nutzungsbedingungen

Richtlinien

Kontakt

BIBLIOTHEKS-EMPFEHLUNG

JoVE-Newsletter

Forschung

JoVE Journal
Methodensammlungen
JoVE Encyclopedia of Experiments
Archiv

Lehre

JoVE Core
JoVE Business
JoVE Science Education
JoVE Lab Manual
Ressourcen für Lehrende
Faculty Site

Autoren

Übersicht
Veröffentlichungsprozess
Redaktionsausschuss
Umfang und Richtlinien
Peer Review
Häufig gestellte Fragen
Einreichen

Bibliothekare

Übersicht
Erfahrungsberichte
Lizenzen
Zugang
Ressourcen
Bibliotheksbeirat
Häufig gestellte Fragen

ÜBER JoVE

Übersicht
Geschäftsführung
Blog
JoVE Help Center

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