
Modern Methods for Affordable Clinical Gait Analysis
Theories and Applications in Healthcare Systems
- 1st Edition - July 27, 2021
- Imprint: Academic Press
- Authors: Anup Nandy, Saikat Chakraborty, Jayeeta Chakraborty, Gentiane Venture
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 8 5 2 4 5 - 6
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 8 5 2 4 6 - 3
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 improveme… Read more

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Request a sales quoteModern 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
- Cover image
- Title page
- Table of Contents
- Copyright
- About the authors
- Preface
- Acknowledgment
- 1. Introduction
- 1.1. What is gait?
- 1.2. Gait cycle
- 1.3. Features of gait
- 1.4. Model-based versus model-free gait assessment
- 1.5. Applications of gait analysis
- 1.6. Clinical aspects of human gait
- 1.7. Sensors for gait data acquisition
- 1.8. Summary
- 2. Statistics and computational intelligence in clinical gait analysis
- 2.1. Introduction
- 2.2. Statistics in clinical gait data
- 2.3. Computational intelligence in clinical gait data
- 2.4. Statistics versus computational intelligence
- 2.5. Summary
- 3. Low-cost sensors for gait analysis
- 3.1. Introduction
- 3.2. Motion capture sensors for gait
- 3.3. Microsoft kinect
- 3.4. Wearable sensors
- 3.5. Summary
- 4. Validation study of low-cost sensors
- 4.1. Introduction
- 4.2. Kinect validation for clinical usages
- 4.3. Inertial sensor validation on estimating joint angles
- 4.4. Summary
- 5. Gait segmentation and event detection techniques
- 5.1. Introduction
- 5.2. Why gait cycle segmentation?
- 5.3. Vision sensor-based gait cycle segmentation
- 5.4. Kinect in gait cycle segmentation
- 5.5. Inertial sensor-based gait segmentation
- 5.6. Electromyography sensor-based gait segmentation
- 5.7. Summary
- 6. Methodologies for vision-based automatic pathological gait detection
- 6.1. Introduction
- 6.2. Gait detection techniques
- 6.3. Automatic diagnostic systems using Kinect
- 6.4. Gait diagnosis in multi-Kinect architecture
- 6.5. Summary
- 7. Pathological gait pattern analysis using inertial sensor
- 7.1. Introduction
- 7.2. Data collection
- 7.3. Gait signal segmentation
- 7.4. Gait features using inertial sensor signals
- 7.5. Automated feature extraction using deep learning techniques
- 7.6. Gait pattern modeling using machine learning techniques
- 7.7. An example study
- 7.8. Summary
- 8. A low-cost electromyography (EMG) sensor-based gait activity analysis
- 8.1. Introduction
- 8.2. Description of lower leg muscles
- 8.3. Specification of MyoWare electromyography sensor
- 8.4. Hardware requirement for electromyography experimental setup
- 8.5. Preprocessing of electromyography signals
- 8.6. Electromyography sensor-based feature analysis
- 8.7. Gait analysis using surface electromyography sensors
- 8.8. Summary
- 9. Low-cost systems–based therapeutic intervention
- 9.1. Introduction
- 9.2. Kinect in therapeutic intervention
- 9.3. Wearable sensors in therapeutic intervention
- 9.4. Summary
- 10. Prevention, rehabilitation, monitoring, and recovery prediction for musculoskeletal injuries
- 10.1. Introduction
- 10.2. Musculoskeletal injuries: causes and treatments
- 10.3. Prevention of musculoskeletal injury through gait monitoring
- 10.4. Rehabilitation monitoring for recovery prediction
- 10.5. Summary
- 11. Design and development of pathological gait assessment tools
- 11.1. Introduction
- 11.2. Tools for pathological gait assessment
- 11.3. Development of a gait event annotation tool
- 11.4. Development of a gait diagnosis tool
- 11.5. Summary
- 12. Conclusion
- Index
- Edition: 1
- Published: July 27, 2021
- No. of pages (Paperback): 194
- No. of pages (eBook): 194
- Imprint: Academic Press
- Language: English
- Paperback ISBN: 9780323852456
- eBook ISBN: 9780323852463
AN
Anup Nandy
SC
Saikat Chakraborty
JC
Jayeeta Chakraborty
GV