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This article describes the development of a portable system for online monitoring of EMG signals in the lower limbs. The system is composed of a pair of lycra shorts with built-in textile EMG electrodes and a belt-attached box with a Raspberry Pi mini-computer with Wi-Fi connection, a set of batteries with power regulators and a custom signal acquisition board. The computer runs a Linux distribution...
Interface design based on biosignals, recently interest various engineering discipline. Biosignals are complex signals due to difference personals and different physical activity involvement. The purpose of this research is to design a biosignals-based control system for the interface of current-induced devices used in physical activities. The scope of this study involves biosignals, for instances,...
This paper describes the development of EMG signal acquisition system application for model cart control. The main application of this type of control is to assist disabled people or frail people to control a cart or device via their healthy muscle. In this project, the circuit was simulated, developed and troubleshoots. The aim of model cart control was to control four basic directions which is forward,...
A new method for ECG artifacts detection from noncardiovascular physiological signals namely Electroencephalogram (EEG), Electrooculogram (EOG) and Electromyogram (EMG), without the need of any additional synchronous ECG channel, is being proposed. This ECG artifacts (R peaks) detection method uses Slope Sum Function and Teager Kaiser Energy operator with an adaptive threshold. The performance of...
Different physiological parameters of a human being are measured to accurately diagnose the related disease. Though there are numerous physiological parameters this paper emphasizes on some of the most common physiological parameters such as blood pressure, EMG, sEMG, heart rate and ECG which are of primary importance to elderly people. Accurate measurement and analysis of these parameters can lead...
This paper tackled the problem of establishing a computer brain interface using an Electroencephalography device for the purposes of interfacing with a computer using software developed in house for non-vocal quadriplegics. The hardware used was an Emotiv EEG that was used with a novel interface in order to establish some form of voice communications. The Emotiv headset was then tested using some...
Spasticity is a common disorder of the skeletal muscle with a high incidence in industrialised countries, occurring for example after multiple sclerosis or stroke and is associated with brain or spinal cord damage. A quantitative measure of spasticity using body-worn sensors is desirable in order to assess rehabilitative motor training and prevent damage, induced by the externally applied forces or...
Modern day prosthetics are traditionally controlled using EMG readings, which allow the user to control a limited number of degrees of freedom at one time. This creates a serious disadvantage compared to a biological arm because it constrains the fluid motion and dynamic functionality of the device. We present a novel architecture for controlling a transhumeral prosthetic device through the combination...
Exoskeleton of lower extremity, as a kind of wearable robot, can help people who have walking problems and offer rehabilitation training. In this work, through the analysis of human walking, the mechanical structure of an exoskeleton system was studied. By judging the user's intended movement with the measured pressure of the feet, the exoskeleton system works to assist the user. Then, surface EMG...
Each nerves and muscles of human body will generate potentials, voltages, and electrical field strength and known as bio signals such as electrocardiograph (ECG), electromyography (EMG), electroencephalogram (EEG), and electrooculogram (EOG). The signals may be acquired through non-invasive surface Ag/Ag Cl applications although the generated signals exist in very low levels of voltages. All the bio...
Sleep bruxism (SB) is one of the unsolved problems in dentistry characterized by grinding or clenching of teeth during sleep. Without exact treatment procedure, dentists attempt to alleviate SB symptoms and prevent worsen problem of teeth. Biofeedback method is recently interested because it can change abnormal activity to normal activity for improving quality of life in patients by generating some...
Learning of a skill is a practice (task related exercise) in which feedback provides information about the performance. If the feedback signal comes from physiological activity then it is termed “biofeedback”. We present a new algorithm for real time classification of muscle activities from several muscles that can be used for feedback that is motivating for the student to learn. We used the “Smarting”...
Communication and sign-language learning of the people with hearing disabilities in Thailand has been problematic due to limited number of sign-language experts. To facilitate the sign-language learning and communication between the hearing disability and ordinary people, the sign language-to-alphabet spelling conversion was developed based on electromyography (EMG) signal recorded from the forearm...
A dedicated front-end for biofeedback neuromuscular electrical stimulation (NESM) system is proposed. For controllable dysphagia treatment, the integrated circuit (IC) provides a stimulator front-end with programmable stimulation parameters (2µA–1mA current amplitude, DC-2KHz frequency, and variable duty cycle) and an electromyogram/impedance (EMG/ETI) readout front-end with programmable gain and...
In this research, systems to operate a mobile robot by using electrooculographic (EOG) and electromyographic (EMG) signals are developed. Suitable control command signals for the mobile robot are generated by processing EOG and EMG signals appropriately. By reducing the number of electrodes, a simplified operation system for mobile robot is also constructed. The effectiveness of the proposed operation...
Muscle fatigue is a common muscle condition which experiences in our daily activity. Muscle fatigue occur when the muscle fail to provide expected force. Electromyography (EMG) has commonly been used to detect muscle fatigue. Effort has been made to improve the current detection using different Myography. Mechanomyogram (MMG) and acoustic myogram (AMG) were used to record mechanical activity of the...
Aim of this paper is to generate joint angle trajectory of knee joint and fed it to a myoelectric controlled lower body exoskeleton to regenerate lost gait pattern.
Although electromyography (EMG) signals and interaction force have been widely used in patient cooperative or interactive training, the conventional EMG based control usually breaks the process into a patient-driven phase and a separate passive phase, which is not desirable. In this research, an active interaction controller based on motion recognition and adaptive impedance control is proposed and...
This paper aims to investigate a gait pattern classification system for anterior cruciate ligament reconstructed (ACL-R) subjects based on the interval type-2 fuzzy logic (FL). The proposed system intends to model the uncertainties present in kinematics and electromyography (EMG) data used for gait analysis due to intra- and inter-subject stride-to-stride variability and nature of signals. Four features...
Instrumented gait analysis is widely used in the assessment of many orthopedic and neurological diseases. The study of the foot-floor contact and muscle activity during gait is fundamental in the management of hemiplegic children. In order to obtain reliable results, it is important that gait signals are recorded during long intervals of walking (2–3 minutes). This requires an automatic analysis of...
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