Sidharth Pancholi
Neuroscience · Purdue University West Lafayette
Publications
40
Citations
703
Est. group size
~1
Recurring co-author estimate
Active years
11
Publishing since 2016
Sidharth Pancholi works on brain-computer interfaces and muscle-signal analysis, developing deep learning methods to interpret EEG (brain electrical activity) and EMG (muscle electrical activity) signals for applications like hand gesture recognition, prosthetic limb control, and reconstructing hand movement from brain signals. The work combines signal processing, machine learning, and explainable AI to improve assistive and rehabilitation technologies.
Publication output has grown unevenly over the past decade, rising from a low base around 2017-2020 to a peak of 12 publications in 2023, followed by a decline in 2024-2026.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- NeuroKinect: A Deep Learning Framework for Hand Kinematics Reconstruction from EEG Signals
IEEE Transactions on Medical Robotics and Bionics · 2026
- SURVEY ON DEEP LEARNING AND EXPLAINABLE AI FOR MAGNETIC RESONANCE IMAGING BASED ALZHEIMER'S DISEASE CLASSIFICATION
2025
- Enhanced EMG-Based Hand Gesture Classification in Real-World Scenarios: Mitigating Dynamic Factors With Tempo-Spatial Wavelet Transform and Deep Learning
IEEE Transactions on Medical Robotics and Bionics · 2024
- Explainable AI-Guided Optimization of EMG Channels and Features for Precise Hand Gesture Classification: A SHAP-Based Study
IEEE Transactions on Medical Robotics and Bionics · 2024
- Optimizing Bio-Sensor Design With Support Vector Regression Technique for AlGaN/GaN MOS–HEMT
IEEE Sensors Letters · 2023
- Enhancing Gesture Classification Using Active EMG Band and Advanced Feature Extraction Technique
IEEE Sensors Journal · 2023
- Advancing Brain-Computer Interface System Performance in Hand Trajectory Estimation with NeuroKinect
2023
- Active Surface Electromyogram (sEMG) Electrodes band with Enhanced Features based technique for Hand Gesture Classification
2023
- Active Surface Electromyogram (sEMG) Electrodes band with Enhanced Features based technique for Hand Gesture Classification
2023
- Advancing Brain-Computer Interface System Performance in Hand Trajectory Estimation with NeuroKinect
2023
- A Circularly Polarized Modified Pill Shaped Ultra-Wideband THz Antenna
2023
- Advancing Brain-Computer Interface System Performance in Hand Trajectory Estimation with NeuroKinect
arXiv (Cornell University) · 2023
- Source Aware Deep Learning Framework for Hand Kinematic Reconstruction Using EEG Signal
IEEE Transactions on Cybernetics · 2022
- Heart rate and blood pressure measurement based on photoplethysmogram signal using fast Fourier transform
Computers & Electrical Engineering · 2022
- DLPR: Deep Learning-Based Enhanced Pattern Recognition Frame-Work for Improved Myoelectric Prosthesis Control
IEEE Transactions on Medical Robotics and Bionics · 2022
- arXiv (Cornell University)×8
- IEEE Transactions on Medical Robotics and Bionics×4
- IEEE Sensors Letters×3
- IEEE Sensors Journal×2
- IEEE Transactions on Cybernetics×2
- Marcia Bockbrader
Neuroscience · The Ohio State University
- Timothy H. Lucas
Neuroscience · The Ohio State University
- Jimmy C. Yang
Neuroscience · The Ohio State University
- John LaRocco
Neuroscience · The Ohio State University
- Ammar Shaikhouni
Neuroscience · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile