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One of the challenges of the hand rehabilitation device is to create a smooth interaction between the device and user. The smooth interaction can be achieved by considering myoelectric signal generated by human's muscle. Therefore, the so-called myoelectric control system (MCS) has been developed since the 1940s. Various MCS's has been proposed, developed, tested, and implemented in various hand rehabilitation...
In this work, a surface skin electromyography(sEMG)-based control solution for elbow wearable assistive devices during load lifting tasks is presented. The goal of the controller consists in limiting the user's muscle activity during the task execution, in such a way that the assistive device can partially compensate the load-related biceps muscle effort. Since sEMG-driven control strategies based...
In this paper we introduce a robust multi-channel wearable sensor system for capturing user intent to control robotic hands. The interface is based on a fusion of inertial measurement and mechanomyography (MMG), which measures the vibrations of muscle fibres during motion. MMG is immune to issues such as sweat, skin impedance, and the need for a reference signal that is common to electromyography...
Robotic hands embedding human motor control principles in their mechanical design are getting increasing interest thanks to their simplicity and robustness, combined with good performance. Another key aspect of these hands is that humans can use them very effectively thanks to the similarity of their behavior with real hands. Nevertheless, controlling more than one degree of actuation remains a challenging...
This study aims to develop a light and wearable exoskeleton controlled by Electromyography (EMG) signals for upper extremity augmentation to support the elbow and shoulder joints. This exoskeleton has four degrees of freedom, one for elbow joint and three for shoulder joint. The flexion and extension movements of elbow and shoulder joints are actively powered to support the wearer and other two DoFs...
Decoding of various motor intentions for generating command is one of the important factors in brain-based wheelchair system. The goal of this study focuses on classifying four types of trunk-related motor execution and imagery intentions. By brain components which are related to the trunk-related movements (waist, shoulder, and trunk) are generated in the very small and very close brain areas; therefore,...
Wearble mechatronic systems, capable of tracking human motion and assisting as needed, are being developed with the goal of increasing the quality of life for individuals living with musculoskeletal conditions, such as Duchenne Muscular Dystrophy (DMD). Recently, a control system framework has been developed and implemented for EMG-driven control of wearable mechatronic elbow braces used for musculoskeletal...
In recent years, the world has been confronting issues related to an aging society, population decrease, and shortages of young workers. Those trends point to the increased development of devices to support human. A device that involves any contact with people must be safe, lightweight, and flexible. Therefore, we developed a device using a pneumatic cylinder to support a patient's upper limb motion...
The focus of this research is the implementation of a control system which actuates a wearable mechatronics-enabled elbow brace (ME-brace) through elbow motion tracking tasks using estimates derived from an EMG-driven mapping model. The accuracy and repeatability of the control system during a tracking task, using data collected from healthy subjects, has been quantified to support improvement of...
This article presents the design of movement sequences for arm rehabilitation of stroke patient. The objective of this research is to develop the best movement sequences suitable for arm rehabilitation of hemiparesis sufferers based on the features analyzed that represent muscle activity. 8 healthy subjects including both male and female performed four arm movement sequences task consist of arm lifting...
For the last decade, a brain-computer interface (BCI) has gained great interests in the fields and successfully applied to various applications. In this work, we focus on a steady-state somatosensory evoked potential (SSSEP) based brain-controlled wheelchair that allows people with mobility impairment to improve activities of daily living. In our system, a user concentrated on three vibration stimuli...
Among many available types of robots, bilateral systems are widely applicable and famous. There are so many master designs that are readily available to support bilateral systems. Among them, the Joystick (Remote Control), Electromyography, Voice Control, Haptic (Mechanical and Touch Sensitive), Gesture (Hand Gesture, Body Gesture and Eye Gaze) and BCI (Brain Control Interface) are available. This...
Duchenne muscular dystrophy (DMD) is a disease resulting in progressive muscle degeneration. Active arm supports can improve the quality of life for people with DMD by augmenting the residual motor capabilities of their arm. As an extension of our previous study, this research aims at developing a EMG-based control interface to detect the user's movement intention required to control more than 1-DOF...
Prosthesis is a device extension which is used to replace a missing body part. Amputees who lost all or part of the upper limb may use a prosthesis depending on their requirement. Externally powered prosthesis holds an importance since it is capable of imitating natural limb motions. However, the way they are controlled stand way back from the natural limb. Myoelectric control systems which uses electromyographic...
This paper presents a continuous control method of electric wheelchair based upon surface electromyographic signals (EMG), ultimately, for quadriplegics. The proposed method utilizes two EMG signals as inputs for the muscle-computer interfaces (MCI). Since Zygomaticus major muscles located in the right and left sides of human face are able to excise individually and to control contractile forces voluntarily,...
Pattern recognition (PR) based on electromyographic (EMG) signals has been developed for multifunctional artificial arms for decades. However, assessment of EMG PR control for daily prosthesis use is still limited. One of the major barriers is the lack of a portable and configurable embedded system to implement the EMG PR control. This paper aimed to design an open and configurable embedded system...
The development of control and automatic systems is important to guarantee a stable anesthesia, with no under or over dosage, and no awareness episodes. In this study a controller for the Cerebral State Index (CSI — an electroencephalogram derived signal) was developed. This study was a simulation study, the CSI was modeled using a fuzzy logic model with two inputs the effect-site concentration of...
The sEMG (Surface Electromyogram) is a kind of physiological signal corresponding to the muscle action. The analysis of sEMG signal can obtain the charateristics of the motion information. In this paper, a remote control system based on sEMG was developed. The system consists of host and client computer. A sEMG signal recording device was designed. The recorded data was transit by Zigbee wireless...
Using bio-metric signals such as muscle and neuron signals through intelligent control systems to mimic human behavior, recovery of human organ function and rehabilitation in health care or remove human beings from hard or dangerous working condition has been an active research area especially in recent decades. This research attempts to develop a cost effective bio-driving robotic system for hand...
In this paper an EHG signal acquisition and processing system has been designed, it adopted TMS320DM6446 chip to be the master controller and a new mechanism of communication between ARM and DSP is also designed for TMS320DM6446. The EHG signal was directly collected by ADS1298 chip, after preprocessing and wavelet analysis, the signal was compared with the normal EHG signal from the pregnant women...
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