Neuro-Robotics: From Brain Machine Interfaces to Rehabilitation Robotics (Trends in Augmentation of Human Performance Book 2)

Neuro-robotics is one of the most multidisciplinary fields of the last decades, fusing information and knowledge from neuroscience, engineering and computer science. This book focuses on the results from the strategic alliance between Neuroscience and Robotics that help the scientific community to better understand the brain as well as design robotic devices and algorithms for interfacing humans and robots. The first part of the book introduces the idea of neuro-robotics, by presenting state-of-the-art bio-inspired devices. The second part of the book focuses on human-machine interfaces for performance augmentation, which can seen as augmentation of abilities of healthy subjects or assistance in case of the mobility impaired. The third part of the book focuses on the inverse problem, i.e. how we can use robotic devices that physically interact with the human body, in order (a) to understand human motor control and (b) to provide therapy to neurologically impaired people or people with disabilities. Part I: Neuro-robotics: the new frontierChapter 1 A Learning Scheme for EMG Based Interfaces: On Task Specificity in Motion Decoding DomainMinas V. Liarokapis, Kostas J. Kyriakopoulos and Panagiotis ArtemiadisChapter 2State of the art and perspectives of ultrasound imaging as a human-machine interfaceClaudio CastelliniChapter 3Considering limb impedance in the design and control of prosthetic devicesEric Perreault, Levi Hargrove, Daniel Ludvig, Hyunglae and Jon SensingerChapter 4Multi-axis Capability for Powered Ankle-foot ProsthesesEvandro M. Ficanha, Mohammad Rastgaar and Kenton R. KaufmanChapter 5Mimicking human-like leg function in prosthetic limbsMartin Grimmer and Andre SeyfarthChapter 6Multi-directional dynamic mechanical impedance of the human ankle a key to anthropomorphism in lower extremity assistive robotsMohammad Rastgaar, Hyunglae Lee, Evandro Ficanha, Patrick Ho, Hermano Igo Krebs and Neville HoganPart II: Human-Machine Interfaces for performance augmentationChapter 7Development of the Quantified HumanMorley Stone, Jack Blackhurst, Jennifer Gresham and Werner DahmChapter 8Optimal Neural Representations for Brain-Mediated Human-Robot InteractionsChristopher Buneo, Stephen Helms Tilley, Marco Santello, Panagiotis Artemiadis and Veronica SantosChapter 9Assisted Computer Interaction for Users with Weak Upper Limb MotionNikos G. Tsagarakis and Darwin G. CaldwellPart III: Rehabilitation RoboticsChapter 10Robotic Systems for Gait RehabilitationAline Marian Callegaro, Ozer Unluhisarcikli, Maciek Pietrusinski and Constantinos MavroidisChapter 11Enhancing recovery of sensorimotor functions: the role of robot generated haptic feedback in the re-learning processLorenzo Masia, Maura Casadio, Valentina Squeri, Leonardo Cappello, Dalia De Santis, Jacopo Zenzeri and Pietro MorassoChapter 12Robotic Assistance for Cerebellar ReachingDavid I. Grow, Amy J. Bastian and Allison M. OkamuraChapter 13A Human Augmentation Approach to Gait RestorationDino Accoto, Fabrizio Sergi, Nevio Luigi Tagliamonte, Giorgio Carpino and Eugenio GuglielmelliChapter 14Home-based rehabilitation: enabling frequent and effective trainingKyle B. Reed, Ismet Handzic and Samuel McAmisChapter 15Unilateral and Bilateral Rehabilitation of the Upper Limb Following Stroke via an ExoskeletonJacob Rosen, Dejan Milutinovic, Levi M. Miller, Matt Simkins, Hyunchul Kim and Zhi LiIndex