Jayeeta Chakraborty – författare

Modern Methods for Affordable Clinical Gait Analysis: Theories and Applications in Healthcare Systems is a handbook of techniques, tools and procedures for the study and improvement of human gait. It gives a concise description of clinical gait analysis, especially gait abnormality detection problems and therapeutic interventions using inexpensive devices. A brief demonstration on validation testing of these devices for its clinical applicability is also presented. Content coverage also includes step-by-step processing of the data acquired from these devices. Future perspectives of low-cost clinical gait assessment systems are explored.

This book bridges the gap between engineering and biomedical fields as it diagnoses and monitors neuro-musculoskeletal abnormalities using the latest technologies. The authors discuss how early detection technology allows us to take precautionary measures, in order to delay the degeneration process, through development of a clinical gait analysis tool. One unique feature of this book is that it pays significant attention to the challenges of conducting gait analysis in developing countries with limited resources. This reference will guide you through setting up a low-cost gait analysis lab. It explores the relationship between vision-based pathological gait detection, the design of tools for gait diagnosis and therapeutic interventions.

Provides a concise tutorial on affordable clinical gait analysis Analyses clinical validation of low-cost sensors for gait assessment Documents recent and state-of-the-art low-cost gait abnormality detection systems and therapeutic intervention procedures

Modern Methods for Affordable Clinical Gait Analysis: Theories and Applications in Healthcare Systems is a handbook of techniques, tools and procedures for the study and improvement of human gait. It gives a concise description of clinical gait analysis, especially gait abnormality detection problems and therapeutic interventions using inexpensive devices. A brief demonstration on validation testing of these devices for its clinical applicability is also presented. Content coverage also includes step-by-step processing of the data acquired from these devices. Future perspectives of low-cost clinical gait assessment systems are explored.This book bridges the gap between engineering and biomedical fields as it diagnoses and monitors neuro-musculoskeletal abnormalities using the latest technologies. The authors discuss how early detection technology allows us to take precautionary measures, in order to delay the degeneration process, through development of a clinical gait analysis tool. One unique feature of this book is that it pays significant attention to the challenges of conducting gait analysis in developing countries with limited resources. This reference will guide you through setting up a low-cost gait analysis lab. It explores the relationship between vision-based pathological gait detection, the design of tools for gait diagnosis and therapeutic interventions.- Provides a concise tutorial on affordable clinical gait analysis- Analyses clinical validation of low-cost sensors for gait assessment- Documents recent and state-of-the-art low-cost gait abnormality detection systems and therapeutic intervention procedures

Computational intelligence has emerged as a pivotal field at the intersection of computer science and artificial intelligence. This book explores the latest developments in computational systems and its diverse applications. The focuses on both theoretical foundations and practical implementations of computational algorithms in developing intelligent systems, providing readers with a roadmap for understanding and effectively implementing data-driven innovations. Notably, the book explores how visual computing, Artificial Intelligence and Machine Learning could potentially be used to provide real-time decision support to both researchers and practitioners. In conclusion, it aims to be a definitive resource for those seeking a deep understanding of the rapidly evolving field of computational intelligence. The book's structure, content, and focus on practical applications position it as a valuable asset for both researchers and practitioners in the Artificial Intelligence and Machine Learning communities.The book is designed for researchers, academics, and professionals working in the fields of computer science, artificial intelligence, and machine learning. It is also suitable for graduate students seeking a thorough understanding of computational intelligence concepts andtheir real-world applications.

Computational intelligence has emerged as a pivotal field at the intersection of computer science and artificial intelligence. This book explores the latest developments in computational systems and its diverse applications. The focuses on both theoretical foundations and practical implementations of computational algorithms in developing intelligent systems, providing readers with a roadmap for understanding and effectively implementing data-driven innovations. Notably, the book explores how visual computing, Artificial Intelligence and Machine Learning could potentially be used to provide real-time decision support to both researchers and practitioners. In conclusion, it aims to be a definitive resource for those seeking a deep understanding of the rapidly evolving field of computational intelligence. The book's structure, content, and focus on practical applications position it as a valuable asset for both researchers and practitioners in the Artificial Intelligence and Machine Learning communities.The book is designed for researchers, academics, and professionals working in the fields of computer science, artificial intelligence, and machine learning. It is also suitable for graduate students seeking a thorough understanding of computational intelligence concepts andtheir real-world applications.