辅助机器人技术和生物传感器。
Assistance Robotics and Biosensors.
机构信息
Department of Physics, System Engineering and Signal Theory, University of Alicante, 03690 Alicante, Spain.
Computer Science Research Institute, University of Alicante, 03690 Alicante, Spain.
出版信息
Sensors (Basel). 2018 Oct 17;18(10):3502. doi: 10.3390/s18103502.
Abstract
This Special Issue is focused on breakthrough developments in the field of biosensors and current scientific progress in biomedical signal processing. The papers address innovative solutions in assistance robotics based on bioelectrical signals, including: Affordable biosensor technology, affordable assistive-robotics devices, new techniques in myoelectric control and advances in brain⁻machine interfacing.
摘要
本特刊聚焦于生物传感器领域的突破性发展和生物医学信号处理方面的当前科学进展。这些论文探讨了基于生物电信号的辅助机器人的创新解决方案，包括：经济实惠的生物传感器技术、经济实惠的辅助机器人设备、肌电控制新技术和脑机接口的进展。
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ED-FNN: A New Deep Learning Algorithm to Detect Percentage of the Gait Cycle for Powered Prostheses.ED-FNN：一种用于检测动力假肢步态周期百分比的深度学习算法。
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A Vision-Driven Collaborative Robotic Grasping System Tele-Operated by Surface Electromyography.基于表面肌电信号遥控的视觉引导协作机器人抓取系统。
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Virtual Sensor of Surface Electromyography in a New Extensive Fault-Tolerant Classification System.表面肌电信号的虚拟传感器在一种新的广泛容错分类系统中的应用。
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Effects of tDCS on Real-Time BCI Detection of Pedaling Motor Imagery.经颅直流电刺激对蹬踏运动想象实时脑机接口检测的影响。
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A Novel Feature Optimization for Wearable Human-Computer Interfaces Using Surface Electromyography Sensors.基于表面肌电传感器的可穿戴人机界面的新型特征优化
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