K.Shusheel Kumar
Papers
1
Total Citations
93
H-Index
1
About
Dr. K. Shusheel Kumar is a leading researcher in biomedical engineering and computational intelligence, with a primary focus on clinical gait analysis and machine learning applications for healthcare. His most impactful work, "Clinical Human Gait Classification: Extreme Learning Machine Approach" (2019), has garnered 93 citations and introduces a novel methodology for biometric gait pattern classification using the Extreme Learning Machine (ELM) algorithm. This research is pivotal for the early detection of gait abnormalities associated with brain and neurological disorders, offering a non-invasive, data-driven tool that can identify subtle deviations often missed in conventional clinical assessments. Dr. Kumar’s contributions bridge the gap between advanced computational techniques and practical medical diagnostics, enhancing the potential for timely intervention in conditions like Parkinson’s disease and stroke. His work underscores the transformative role of machine learning in rehabilitation and neurology, making him a notable figure in the intersection of artificial intelligence and human movement science.
Research Focus
Key Achievements
Top Papers
- 1Clinical Human Gait Classification: Extreme Learning Machine Approach93 citations · 2019