- 标题
- 摘要
- 关键词
- 实验方案
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Training of Hand Rehabilitation Using Low Cost Exoskeleton and Vision-Based Game Interface
摘要： Motivating game-based training have the potential to improve therapy for people with neurological impairments. In recent years, the serious games have become extremely useful tools in rehabilitation field. They aim to stimulate the mobility of the body through an immersive experience that puts the user in interactive virtual environment. This paper is concerned about developing a customized augmented reality system for stroke rehabilitation. This will be done through integrating an interactive serious game interface with a hand exoskeleton device. This game-based rehabilitation system allows users to carry out physical rehabilitation therapies using a natural user interface based on Kinect’s skeletal tracking features and the electromyography (EMG) sensor. During game playing, the interactive user interface provides useful real-time feedback information such as the time required to grasp a desired dynamic virtual object, and the assigned score and thus the ability of the proposed system to provide a compensatory action regarding the dynamic behavior of the virtual target. The main goal of the developed virtual environment is to create positive influences on the rehabilitation process. Patient movement information and signals obtained from the developed exoskeleton device are used together to monitor the rehabilitation progress. The developed exoskeleton hand is a 3D printed low cost device suitable for grasping tasks that can be used even for domestic stroke patients. The developed exoskeleton device is not only a mechanical system able to perform the rehabilitation act but also it presents an effective tracking and traceability software solution. The EMG signals measured during hand motion are used to detect the intention of hand opening or closing which in turn will actuate the mechanical structure to accomplish the desired task. Parameters and results of patients’ exercises are stored and analyzed when needed to evaluate patients’ progress. The developed system is tested experimentally and it is able to restore the functions of the upper limb and mainly give patients more motivation to undergo the rehabilitation exercises.
关键词： Robotic exoskeleton,EMG control,Kinect sensor,3D printing,Stroke rehabilitation
更新于2025-09-23 15:22:29
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Electrophysiology Meets Printed Electronics: The Beginning of a Beautiful Friendship
摘要： Electroencephalography (EEG) and surface electromyography (sEMG) are notoriously cumbersome technologies. A typical setup may involve bulky electrodes, dangling wires, and a large amplifier unit. Adapting these technologies to numerous applications has been accordingly fairly limited. Thanks to the availability of printed electronics, it is now possible to effectively simplify these techniques. Elegant electrode arrays with unprecedented performances can be readily produced, eliminating the need to handle multiple electrodes and wires. Specifically, in this Perspective paper, we focus on the advantages of electrodes printed on soft films as manifested in signal transmission at the electrode-skin interface, electrode-skin stability, and user convenience during electrode placement while achieving prolonged use. Customizing electrode array designs and implementing blind source separation methods can also improve recording resolution, reduce variability between individuals and minimize signal cross-talk between nearby electrodes. Finally, we outline several important applications in the field of neuroscience and how each can benefit from the convergence of electrophysiology and printed electronics.
关键词： wearable sensors,EMG,printed electrodes,skin electronics,EEG
更新于2025-09-23 15:22:29
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A Fully Integrated 11.2 mm2 a-IGZO EMG Front-end Circuit on Flexible Substrate Achieving up to 41dB SNR and 29MΩ Input Impedance
摘要： A biopotential front-end circuit is designed and fabricated using a-IGZO TFTs on flexible plastic substrate. Its input chopper provides both noise reduction and Frequency Division Multiplexing among multiple front-ends in an array. Measurements of the front-end at chopping frequencies from 5 to 8 kHz show a gain in the range of 24.9 - 23.1 dB, bandwidth of 5.4 to 5.2 kHz, input noise in the EMG band ranging from 125 μVRM S to 31.4 μVRM S, and an input impedance of 29.6 to 23 M ?. At different chopping frequencies, the SNR in the EMG band is respectively 29, 32.3, 38, 41 dB, enough to monitor Muscle Fibre Conduction velocity. This is achieved in a total area of 11.2 mm2 and with 1.3 mW power consumption. In-vivo recordings of EMG from the forearm of a person using the fabricated front-end and standard gel electrodes have been performed. The measurements show EMG bursts with a maximum amplitude of 1.6 mV, which is within the physiological range for this muscle. The proposed circuit achieves an 8.9X reduction in size compared to previous front-ends fabricated on flexible foil for EMG applications, enabling a spatial resolution in the order of a few millimetres, with great benefit for the diagnosis of neuromuscular disorders.
关键词： IGZO,EMG,flexible electronics,Biomedical circuits,EHG
更新于2025-09-23 15:21:21