Schweitzer Fachinformationen
Wenn es um professionelles Wissen geht, ist Schweitzer Fachinformationen wegweisend. Kunden aus Recht und Beratung sowie Unternehmen, öffentliche Verwaltungen und Bibliotheken erhalten komplette Lösungen zum Beschaffen, Verwalten und Nutzen von digitalen und gedruckten Medien.
This book provides a comprehensive review of recent developments in the field of motor neuroprosthetics and brain-machine interfaces. Chapters in this book are provided by leading experts in the field and include topics such as the design and control of multidimensional prosthetics and exoskeletons, deep brain stimulation, functional electrical stimulation, deep learning for brain machine interfaces, biofeedback, and cognitive intent for adaptation of motor prostheses. This book is a great resource for undergraduate and graduate students, researchers, engineers from related disciplines, entrepreneurs, and anyone interested in the latest progress in the field of motor neuroprostheses.
Ramana Vinjamuri received his undergraduate degree in Electrical Engineering from Kakatiya University (India) in 2002. He received his MS in Electrical Engineering from Villanova University in 2004 specialized in Bioinstrumentation. He received his PhD in Electrical Engineering in 2008 specialized in Dimensionality Reduction in Control and Coordination of Human Hand from the University of Pittsburgh. He worked as a postdoctoral fellow (2008-2012) in the field of Brain Machine Interfaces (BMI) to control prosthesis in the School of Medicine, University of Pittsburgh. He worked as a Research Assistant Professor in the Department of Biomedical Engineering at the Johns Hopkins University (2012-2013). He is currently a Harvey N Davis Distinguished Assistant Professor in the Department of Biomedical Engineering at Stevens Institute of Technology. He received the NSF CAREER Award in 2019. He also holds a secondary appointment as an Adjunct Assistant Professor at Indian Institute ofTechnology, Hyderabad, India.
Chapter 1: Application of reinforcement and deep learning techniques in brain machine interfaces.- Chapter 2: Specific muscle activation patterns in athletic and orthopedic populations: considerations for using surface electromyography in assistive and biofeedback device applications.- Chapter 3: Kineto-dynamic modeling of human upper limb for robotic manipulators and assistive applications.- Chapter 4: Learning from the human hand: force control and perception using a soft-synergy prosthetic hand and non-invasive haptic feedback.- Chapter 5: Design of a soft glove-based robotic hand exoskeleton with embedded synergies.- Chapter 6: Model predictive control based knee actuator allocation during a standing-up motion with a powered exoskeleton and functional electrical stimulation.- Chapter 7: Deep brain stimulation for gait and postural disturbances in Parkinson's disease.- Chapter 8: Cognitive and physiological intent for the adaptationof motor prostheses.- Index.
Dateiformat: PDFKopierschutz: Wasserzeichen-DRM (Digital Rights Management)
Systemvoraussetzungen:
Das Dateiformat PDF zeigt auf jeder Hardware eine Buchseite stets identisch an. Daher ist eine PDF auch für ein komplexes Layout geeignet, wie es bei Lehr- und Fachbüchern verwendet wird (Bilder, Tabellen, Spalten, Fußnoten). Bei kleinen Displays von E-Readern oder Smartphones sind PDF leider eher nervig, weil zu viel Scrollen notwendig ist. Mit Wasserzeichen-DRM wird hier ein „weicher” Kopierschutz verwendet. Daher ist technisch zwar alles möglich – sogar eine unzulässige Weitergabe. Aber an sichtbaren und unsichtbaren Stellen wird der Käufer des E-Books als Wasserzeichen hinterlegt, sodass im Falle eines Missbrauchs die Spur zurückverfolgt werden kann.
Weitere Informationen finden Sie in unserer E-Book Hilfe.
