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Auteur
Samuel Stuart is an academic Associate Professor, a clinical physiotherapist and currently an Associate Director within the pharmaceutical industry where he leads a digital biomarker laboratory, which is a multidisciplinary group of engineers and clinicians. His work focuses on the development of novel digital clinical assessment and rehabilitation tools for clinical trials and healthcare settings, which include the application of technologies to examine gait, balance and mobility in clinical populations. He has published extensively in world leading journals focusing on a broad range of activities, such as real-world data analytics, algorithms development for wearable devices. He is also an Associate Editor at PLoS One and Frontiers of Neurology, and is on the editorial board for Gait & Posture, Sensors and Frontiers in Rehabilitation. He has guest edited several special issues for these journals, as well as for Physiological Measurement and Journal of Neuro-Engineering and Rehabilitation. Dr. Stuart has also been an Editor for several previous textbooks on Digital Health and Eye-tracking.
Rosie Morris is an Assistant Professor, a physiotherapist and currently the Director of the Physiotherapy innovation Laboratory (www.pi-lab.co.uk) at Northumbria University, which is a multi-disciplinary lab of clinicians, scientists, engineers and data scientists. Her work focuses on the role that cognition plays in gait, balance and mobility impairment in clinical populations, particularly neurological diseases. Work includes UK and US projects across multiple sites to examine mobility function in clinical and home-based settings in a variety of large clinical cohorts. Dr. Morris has published extensively within world-class international journals in her field, which has led her to be an Associate Editor and Guest Editor for several journals, such as Frontiers of Neurology and Sensors.
Texte du rabat
Gait, Balance, and Mobility Analysis: Theoretical, Technical, and Clinical Applications provides a comprehensive overview of gait and movement analysis techniques, from traditional motion capture to modern wearable technologies. The book contains both a technical element that focuses on biomechanics and engineering concepts for gait analysis and the application of gait analysis with clinical populations. Beginning with a comprehensive background on the underlying neural control of gait and mobility in humans and physiological control of balance, the book then covers analysis methods and techniques for laboratory, clinic or remote patient assessment. It then examines how gait, mobility and balance are impacted by musculoskeletal, neurological, and cardio-respiratory conditions. Lastly, it discusses future directions and provides recommendations for future studies. Combining the expertise of engineers and clinicians, this book takes a multidisciplinary approach to show how and why gait, balance and mobility can be used to tackle important clinical questions for various conditions.
Contenu
SECTION 1 Background/theory CHAPTER 1 Underlying control of gait and mobility CHAPTER 2 Underlying control of balance CHAPTER 3 Motor control development and decline CHAPTER 4 A breakdown of the gait cycle: biomechanics CHAPTER 5 Biomechanics of balance SECTION 2 Methods/technical application CHAPTER 6 A history of gait and mobility analysis methods and techniques CHAPTER 7 A history of balance analysis methods and techniques CHAPTER 8 An overview of clinical gait, balance, and mobility assessments CHAPTER 9 Modern video-based gait and balance analysis CHAPTER 10 Wearable sensors for gait, balance, and mobility CHAPTER 11 Algorithms for gait: technical and clinical validity SECTION 3 Clinical application CHAPTER 12 Mobility, gait, and balance assessment in musculoskeletal conditions and its management CHAPTER 13 Gait and mobility assessment in neurological conditions CHAPTER 14 Gait and mobility assessment in cardio-respiratory conditions CHAPTER 15 Balance assessment in neurological conditions CHAPTER 16 Balance assessment in cardio-respiratory conditions CHAPTER 17 Future directions in clinical application of gait, balance and mobility analysis