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UF-EMG test, in which non-invasive uroflowmetry (UF) and electromyography (EMG) signals are simultaneously recorded, is frequently used in children diagnosed with lower urinary tract dysfunction disease (AUSD) and its treatment. In the literature, independent (single) UF signals and integrated (dual) UF-EMG signals are graded many times but there is no classification study of UF-EMG integrated signals...
This paper describes the development and characterization of soft and flexible 3D-printed sEMG electrodes. The electrodes are printed in one go on a low cost consumer multi-material FDM printer. The printed structures do not need any further production steps to give them conductive properties. Comparison between the gold standard Ag/AgCl gel electrodes and the printed EMG electrodes with a comparable...
The subject studied the relationship between tissue dynamics caused by Quadriceps muscles movement in the knee extension — flexion state and the signal measured from the EMG sensor. Establishment of force and momentum force equations generated by the muscle groups, EMG momentum and voltage equations. Using the Arduino Uno controller, read the signal from the EMG sensor, and save it to an SD memory...
Rehabilitation is a process (treatment) aimed at enabling recovery from injuries. Consequently, the patients rebuild their independence and return back to their normal life. For this reason, various systems have been developed such as Rehabilitation Gaming System (RGS), Computer Assisted Rehabilitation Environment (CAREN), etc. Most of these systems use the Virtual Reality (VR) which has a positive...
The field of Sign Language Recognition (SLR) has become an increasingly popular research topic. The goal of this study is an SLR system that will be capable of identifying a subset of 50 of the most common American Sign Language (ASL) word signs using surface electromyography and accelerometer data for multiple signers. All data was collected from deaf, fluent ASL users. A windowing approach is used...
Continuous EMG control of human-machine interfaces (HMIs) enables more direct and flexible control of output movements than discrete classification algorithms. However, EMG is a non-stationary signal and can add noise to continuous EMG control output. We studied the effect of an output speed threshold method to stabilize the movement prediction of a 2-DOF musculoskeletal model-based continuous EMG...
Gesture recognition has multiple applications in medical and engineering fields. The problem of hand gesture recognition consists of identifying, at any moment, a given gesture performed by the hand. In this work, we propose a new model for hand gesture recognition in real time. The input of this model is the surface electromyography measured by the commercial sensor the Myo armband placed on the...
An EMG (electromyogram)-angle neural network was built to estimate elbow movement in a lifting task from sEMG signals in this study. The movement conditions vary with 6 different weights and no load. Subsequently the predicted angle could be utilized as the control signal of a 2DOF powered exoskeleton. Sixteen-channel EMG raw data sets were acquired from two commercial wearable MYO gesture armbands...
In this paper we propose to use temporal muscle contraction to perform certain actions. Method: The set of muscle contractions corresponding to one of three actions including “single-click”, “double-click” “click-n-hold” and “non-action” were recorded. After recording certain amount of signals, the set of five parameters was calculated. These parameters served as an input matrix for the neural network...
Mastery of a shot technique is one of the important skills to be developed by novice badminton players. A shot technique includes the application of effort and swing of the arm. It is desirable for a novice badminton trainee to visualize the above parameters immediately after playing a shot. There has been an inadequate utilization of wearable technology for visualizing of these aspects. Myo armband,...
Rehabilitation concepts for upper limb amputees traditionally rely on the execution of repetitive movements. Video game-based therapies are a stimulating way to increase patient motivation, effort and performance during those otherwise monotonous neuromuscular exercises. Myoelectric signals needed to control an upper limb prosthesis are intuitively trained and the patient benefits from increased prosthesis...
The need for diagnostic tools for the characterization of progressive movement disorders — as the Parkinson Disease (PD) — aiming to early detect and monitor the pathology is getting more and more impelling. The parallel request of wearable and wireless solutions, for the real-time monitoring in a non-controlled environment, has led to the implementation of a Quantitative Gait Analysis platform for...
The proposed circuit intends to harvest kinetic energy from electromagnetic generators. An AC-DC boost rectifier running in boundary conduction mode (BCM) performs resistive input matching, while reducing the converter power loss. The boost rectifier also merges a rectifier and a boost converter to reduce power loss for rectification. It also utilizes the internal inductance of the EMG to reduce the...
Among other applications, electromyography (EMG) is used in the assessment of locomotion pathologies to quantitatively document abnormal muscle activation patterns during walking. However, EMG cyclic patterns are affected by high cycle-to-cycle variability. Previous research introduced a clustering approach (CIMAP) to recognize gait cycles with similar EMG onset/offset timings, reducing variability...
The proliferation of multimedia technology and its wide adoption by users has created the need for more effective metrics for Quality of Experience (QoE). Objective video quality metrics usually under-perform in terms of perceptual quality, thus evaluation is usually performed offline by people, an arduous and time consuming task that is also affected by external conditions and by user preferences...
In this paper, we proposes an algorithm to estimate the overall arm motion using the MYO armband attached to the upper arm. Thus, we can get EMG data of biceps brachii and triceps brachii when the human stretch or bend his/her arm. The motion of the lower arm is estimated through the EMG signal of the upper arm. The motion of the upper arm is detected through the IMU sensor. To increase the reliability...
This work addresses the rising need for a diagnostic tool for the evaluation of the effectiveness of a drug treatment in Parkinson disease, allowing the physician to monitor of the patient gait at home and to shape the treatment on the individual peculiarity. In aim, we present a cyber-physical system for real-time processing EEG and EMG signals. The wearable and wireless system extracts the following...
In this paper, we propose a method for measuring the length of the arm span using a relationship between the linear velocity, the angular velocity of the circular motion of human. Using the measured characteristics of the proportional relationship between the arm span length and height, it is possible to estimate the height of the users. Also, we can decide the amplifier gain of the EMG sensors using...
Electromyography (EMG) activity of muscles can help us to assess the muscular functions during daily activity. In this paper, we investigate the EMG based assessment of the muscles situated in dorsal side of human body. Specifically, two upper and lower back muscles named as erector spinae and trapezius muscles are investigated during the body movements involved in Islamic prayer (Salat). Several...
In this project, a conceptual design of a robotic exoskeleton for the neurological rehabilitation of temporomandibular disorder (TMD) is presented. Here, a PC based GUI interface and EMG and EEG based feedback system is used. The proposed system presents a lightweight, portable solution aimed at promoting user engagement in the rehabilitation process. The robotic exoskeleton provides a method of delivering...
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