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Modern Methods for Affordable Clinical Gait Analysis

Anup Nandy - Saikat Chakraborty - Jayeeta Chakraborty - Gentiane Venture
pubblicato da Elsevier Science

Prezzo online:
81,42
90,43
-10 %
90,43

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

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Generi Scienza e Tecnica » Ingegneria e Tecnologia » Tecnologia, Altri titoli

Editore Elsevier Science

Formato Ebook con Adobe DRM

Pubblicato 27/07/2021

Lingua Inglese

EAN-13 9780323852463

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