Papers
2
Total Citations
17
H-Index
2
About
Adyasha Dash is a researcher at the intersection of biomedical engineering and human-machine interaction, with key contributions in low-cost physiological sensing and virtual reality (VR)-based rehabilitation. Her work focuses on developing accessible, affordable technologies for assistive and therapeutic applications, particularly for post-stroke recovery. Dash’s most cited paper, “Design and development of low-cost EOG acquisition circuit for HMI application” (2015, 9 citations), presents an economical electrooculogram (EOG) system using an Op-Amp amplifier and ATMega8 microcontroller, enabling efficient human-machine interface (HMI) control. This work demonstrates her commitment to democratizing assistive technology for resource-limited settings. Her second highly cited paper, “Physiology-sensitive Virtual Reality based Strength Training Platform for Post-stroke Grip Task” (2019, 8 citations), addresses grip strength deficits in post-stroke patients—a critical barrier to daily living activities. By integrating physiology-sensitive VR with strength training, Dash’s platform offers an innovative, scalable solution for rehabilitation in developing countries like India, where expert therapist access is limited. With a total of 17 citations across her top works, Dash’s research is gaining traction for its practical impact on low-cost healthcare technology and neurorehabilitation, positioning her as an emerging voice in accessible biomedical innovation.
Research Focus
Key Achievements
Top Papers
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