Advances in Neural Engineering for Rehabilitation
نویسندگان
چکیده
Interdisciplinary Division of Biomedical Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong Howard Hughes Medical Institute, Janelia Research Campus, Ashburn, VA 20147, USA Department of Physical Therapy and Human Movement Science, Feinberg School of Medicine, Northwestern University, 645 N Michigan Avenue, Suite 1100, Chicago, IL 60611, USA Department of Medical Physics, University of Nevada, Las Vegas, NV 89154, USA
منابع مشابه
Neuroplasticity and neuromotor synergies in context of rehabilitation after stroke: a systematic review
Background: Alterations of neuroplasticity and cortical excitability are important pathophysiological factors in stroke. Modulation of the neuroplasticity has been proposed as an underlying mechanism of recovery in different neurological disorders. But it is not still clear how the CNS faces the complexity of muscle control. Neuroplastic processes may be used for the functional improvement of s...
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Deterioration models are important and essential part of any Pavement Management System (PMS). These models are used to predict future pavement situation based on existence condition, parameters causing deterioration and implications of various maintenance and rehabilitation policies on pavement. The majority of these models are based on roughness which is one of the most important indices in p...
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Abstract— In order to provide complete security in a computer system and to prevent intrusion, intrusion detection systems (IDS) are required to detect if an attacker crosses the firewall, antivirus, and other security devices. Data and options to deal with it. In this paper, we are trying to provide a model for combining types of attacks on public data using combined methods of genetic algorit...
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1Department of Health Care Sciences, UT Southwestern Medical Center at Dallas, Dallas, TX 75390, USA 2Research Center for Neural Engineering, The Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Shenzhen 518055, China 3School of Energy Systems, Lappeenranta University of Technology, 53851 Lappeenranta, Finland 4The Robotics Research Group, College of E...
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Neural networks are applicable in identification systems from input-output data. In this report, we analyze theHammerstein-Wiener models and identify them. TheHammerstein-Wiener systems are the simplest type of block orientednonlinear systems where the linear dynamic block issandwiched in between two static nonlinear blocks, whichappear in many engineering applications; the aim of nonlinearsyst...
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In this work, response surface methodology (RSM) and artificial neural network (ANN) were used to predict the decolorization efficiency of Reactive Red 33 (RR 33) by applying the O3/UV process in a bubble column reactor. The effects of four independent variables including time (20-60 min), superficial gas velocity (0.06-0.18 cm/s), initial concentration of dye (50-150 ppm), and pH (3-11) were i...
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عنوان ژورنال:
دوره 2017 شماره
صفحات -
تاریخ انتشار 2017