Computational Intelligence and Neuroscience

Robot and Neuroscience Technology: Computational and Engineering Approaches in Medicine


Publishing date
15 Apr 2016
Status
Published
Submission deadline
27 Nov 2015

Lead Editor

1University of Miyazaki, Miyazaki, Japan

2University of Toyama, Toyama, Japan

3Shanghai Jiao Tong University, Shanghai, China

4University of Portsmouth, Portsmouth, UK

5Catholic University of America, Washington, USA


Robot and Neuroscience Technology: Computational and Engineering Approaches in Medicine

Description

Robot and neuroscience technology based on computational and engineering approaches in medicine provides huge opportunities for the advancement of medical research, the improvement of quality of life, and the enhancement of patient safety. The findings in neuroscience recently greatly promote the development of artificial intelligence and must consequently promote the development of robotic technology. The research progress on neuroscience and its potential application in robotics have obtained more and more attentions recently.

Robot and neuroscience technology is primarily interested in serving as a venue for the discussion of innovative technical contributions highlighting applications, systems, and technologies. Contributions in the realm of human-oriented issues might include empirical studies of robot and neuroscience related technologies and medicine-engineering cooperation. In this special issue, we strongly encourage authors to submit their original contributions describing their conceptual, algorithmic, methodological, and application systems contributions.

Potential topics include, but are not limited to:

  • Brain machine interface
  • Human computer interaction using electrooculogram and/or surface electromyogram signals
  • Ambient-assisted healthcare systems
  • Robot assisted surgery system
  • Nurse-assistant robot
  • Ubiquitous robot
  • Less invasive biomarkers for specific stimulus and response used in functional neuroimaging, new developments of computational neuroscience

Articles

  • Special Issue
  • - Volume 2016
  • - Article ID 5204510
  • - Editorial

Robot and Neuroscience Technology: Computational and Engineering Approaches in Medicine

Hiroki Tamura | Shangce Gao | ... | Harold Szu
  • Special Issue
  • - Volume 2016
  • - Article ID 6018686
  • - Research Article

Ubiquitous Robotic Technology for Smart Manufacturing System

Wenshan Wang | Xiaoxiao Zhu | ... | Qixin Cao
  • Special Issue
  • - Volume 2016
  • - Article ID 7354082
  • - Research Article

EOG-sEMG Human Interface for Communication

Hiroki Tamura | Mingmin Yan | ... | Koichi Tanno
  • Special Issue
  • - Volume 2016
  • - Article ID 8343187
  • - Research Article

A Fast Framework for Abrupt Change Detection Based on Binary Search Trees and Kolmogorov Statistic

Jin-Peng Qi | Jie Qi | Qing Zhang
  • Special Issue
  • - Volume 2016
  • - Article ID 6040232
  • - Research Article

Adaptive Shape Kernel-Based Mean Shift Tracker in Robot Vision System

Chunmei Liu | Yirui Wang | Shangce Gao
  • Special Issue
  • - Volume 2016
  • - Article ID 7845102
  • - Research Article

An Interactive Astronaut-Robot System with Gesture Control

Jinguo Liu | Yifan Luo | Zhaojie Ju
  • Special Issue
  • - Volume 2016
  • - Article ID 6023547
  • - Research Article

Rhythmic Oscillations of Excitatory Bursting Hodkin-Huxley Neuronal Network with Synaptic Learning

Qi Shi | Fang Han | ... | Caiyun Li
Computational Intelligence and Neuroscience
 Journal metrics
Acceptance rate27%
Submission to final decision80 days
Acceptance to publication40 days
CiteScore2.270
Impact Factor2.154
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