Sidhika Varshney

About

Sidhika Varshney is a researcher in the field of brain-machine interfaces (BMIs), with a focus on non-invasive EEG-based systems for motor control. Her work addresses the critical challenge of enabling patients with neuromuscular disorders to operate assistive devices—such as robotic limbs or wheelchairs—using only their neural signals. Varshney’s most cited papers, "Detection of wrist movement using EEG signal for brain machine interface" (2013) and "Brain Machine Interface for wrist movement using Robotic Arm" (2014), each with 5 citations, explore the feasibility of using electroencephalography (EEG) as a non-invasive alternative to techniques like electrocorticography (ECoG) or intracranial EEG (iEEG). She investigates the specific EEG features that can reliably decode wrist movement intentions, demonstrating that non-invasive BMIs can achieve practical control over robotic arms. This work is significant because it moves BMI technology toward safer, more accessible applications for disabled individuals, reducing the need for surgical implants. Varshney’s contributions highlight the potential of EEG-based BMIs to restore independence and improve quality of life, laying groundwork for future advancements in assistive neurotechnology.

Research Focus

Key Achievements

Top Papers

1. 1
   Detection of wrist movement using EEG signal for brain machine interface

   5 citations · 2013
2. 2
   Brain Machine Interface for wrist movement using Robotic Arm

   5 citations · 2014

Key Collaborators

Contact & Links