Bhawna Shiwani
About Bhawna Shiwani
Research Scientist Bhawna Shiwani
Bhawna Shiwani holds the title of Research Scientist. She has made significant contributions to various studies and publications, particularly in the areas related to Parkinson’s disease, motor unit behavior, and silent speech recognition systems. Her work involves a mix of neurophysiological research and the development of innovative technologies.
Research on Gait Abnormalities in Parkinson’s Disease
Bhawna Shiwani has made substantial contributions to research focused on gait abnormalities in Parkinson's disease. This work aims to better understand the movement disorders associated with Parkinson’s and to explore potential therapeutic interventions. By analyzing gait patterns, this research provides valuable insights into the neurophysiological mechanisms underlying the disease.
Development of sEMG-based Silent Speech Recognition Systems
Bhawna Shiwani has been involved in the development of silent speech recognition systems using surface electromyography (sEMG). These systems aim to translate muscle signals into speech, offering a communication tool for individuals who are unable to speak. Her research has focused on creating algorithms and technologies that can accurately interpret and process these muscle signals.
Study of Motor Unit Firing Behavior During Fatigue
In her research, Bhawna Shiwani has studied motor unit firing behavior during fatigue. This involves examining how muscle motor units respond and adapt to sustained exertion. Understanding these mechanisms can provide insights into muscle function and fatigue, which is critical for developing strategies to manage and treat related disorders.
Research on Neural Control of Movement During Functional Exercise
Bhawna Shiwani has also participated in research on the neural control of movement during functional exercise. This work explores how the nervous system controls and coordinates muscle activities during various forms of physical exercise. The objective is to understand the underlying neural mechanisms and improve rehabilitation strategies for individuals with movement impairments.
Publications on Motor Unit Drive for Upper Limb Prosthetic Control
Bhawna Shiwani co-authored publications relating to motor unit drive for upper limb prosthetic control. This research focuses on developing approaches to control prosthetic limbs using motor unit signals, enhancing the functionality and usability of prosthetic devices for individuals with upper limb amputations.
Experience in Autonomous Tracking of Body Bradykinesia in Parkinson’s Disease
Bhawna Shiwani has experience in the autonomous tracking of body bradykinesia in Parkinson's disease. Bradykinesia, characterized by slowness of movement, is a common symptom of Parkinson’s. Her work in this area involves developing and utilizing technologies to autonomously monitor and quantify the severity of bradykinesia, aiding in the management of the disease.
Algorithm Development for Silent Speech Recognition Using sEMG Sensors
Bhawna Shiwani has contributed to the development of algorithms for silent speech recognition using surface electromyography (sEMG) sensors. These algorithms are designed to decode muscle activity signals into spoken words, providing a novel method for speech communication especially useful for individuals with severe speech impairments.