Neurotechnology, Electronics, and Informatics

Revised Selected Papers from Neurotechnix 2013
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ISBN-13:
9783319159966
Veröffentl:
2015
Einband:
HC runder Rücken kaschiert
Erscheinungsdatum:
27.07.2015
Seiten:
120
Autor:
Ana Rita Londral
Gewicht:
376 g
Format:
241x160x12 mm
Serie:
13, Springer Series in Computational Neuroscience
Sprache:
Englisch
Beschreibung:

The International Congress on Neurotechnology, Electronics, and Informatics (NEUROTECHNIX) took place in Algarve, Portugal in September of 2013. The congress provided a meeting point of academics and clinical and engineering professionals, promoting translational discussions on how research and technology can meet the needs of clinical practitioners and patients. NEUROTECHNIX emphasized research and application of neurotechnologies to various neurological disorders, including neuromuscular diseases, Parkinson's disease, developmental disorders, dementia, epilepsy, sleep disorders, Multiple Sclerosis, neuroinfections, brain tumors, stroke, traumatic brain injuries, Cerebral Palsy, spinal cord injury and vision and hearing disorders. Authors were invited to submit innovative research work that highlighted new advancements of neurotechnology. Papers describing case studies, advanced prototypes, systems, tools and techniques and general survey papers indicating future directions were encouraged. This book contains a limited selection of extended and revised versions of the best papers presented at the congress, by regular and keynote speakers.
Contains a selection of the best papers, revised and extended, presented at the 2013 NEUROTECHNIX congress
Preface.- Post urography platform and balance control training and research system based on FES and muscle synergies.- A pilot study of the feasibility of Hybrid Gait Training with Kinesis Over ground Robot for Persons with Incomplete Spinal Cord Injury.- Human-like sensor fusion implemented in the poster control of a bipedal robot.- Micro channel scaffolds for neural signal acquisition and analysis.- Brain-Controlled Selection of Objects Combined with Autonomous Robotic Grasping.- The Merging of Humans and Machines.- Learning from the past: post processing of classification scores to find a more accurate and earlier movement prediction.

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