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Respiration rate is considered among the most useful biomedical signals to be observed for it has the potential of reflecting the bare biological status of human body, and by which clinic may detect and analyze symptoms in obstructive pulmonary disease. Measuring the breathing with contact methods seems to be unfriendly to patients and not as accurate as expected. There have been many techniques based...
Q. How did your education and early career lead to your initial and continuing interest in the control field? Xiaobo: It was fortuitous how I got into the control field. When I graduated from high school, I knew I would be going into some engineering field. However, I had no clue exactly what field would suit me. My second-oldest brother, who was then a sophomore majoring in civil engineering at Tsinghua...
In this paper, a new approach for the detection of muscle fatigue is described. This approach uses a combination of several analytical techniques based on processing (Matlab). We applied one of the standard physical exercises causing the fatigue of the hand's muscles. After recording by the Arduino acquisition card of the raw signal EMG (electromyography; it's an electrical signal translating muscular...
The cross-correlation coefficient (CC) was used to estimate the effects of muscular voluntary contraction (MVC) and fibres inclination. The study was based on simulated surface electromyographic (sEMG) signals generated in a cylindrical multi-layer volume conductor (bone, muscle, fat and skin) and detected by longitudinal single differential (LSD), inverse binomial of order two (IB2) and maximum kurtosis...
Analysis of electromyography (EMG) signals of normal physical actions have found to be important in order to detect certain abnormalities of the musculoskeletal system and diagnose abnormalities in patient behavior. This paper presents the results of the development of an Artificial Neural Network (ANN) for classification of EMG signals, according to the type of human behavior. The developed ANN is...
Patients with neurodegenerative disorder suffers from performing their daily tasks resulting in a reduced community ambulation. Tremor is suggested to be reduced by mechanical means using passive vibration controller. Human hand is modeled in the horizontal plane to describe the flexion-extension motion at the shoulder, elbow and wrist joints. Tremor is modeled as sinusoidal function driven at two...
The purpose of this study was to explore the relationship between grip strength and inter-muscular coordination of the forearms and hands. Twenty-four healthy young volunteers participated in the experiment. The subjects were instructed to grip hydraulic hand dynamometer with five force levels-maximal voluntary contraction (MVC), 70% MVC, 50% MVC, 30% MVC and without any contraction. Muscle activity...
The thumb and index finger are important digits to performed dexterous and complex manipulation of objects. However, the local muscle fatigue will induce the capacity of force production and impair the precision motor control of the thumb and index finger. This study focused on the exercise-induced local muscle fatigue influencing the COP (center of pressure) area, the SD and the PA (projection angle)...
The methods of establishing the cell and animal calcification model were discussed. In vitro, the rat vascular smooth muscle cell strain A10 was cultured, the control group and the high phosphorus group were cultured for 12 days to stain, and the relationship between high phosphorus and vascular smooth muscle cell calcification was studied by reverse transcription PCR analysis. In vivo, the mice have...
Surface electromyography (sEMG) is widely used in clinical diagnosis, rehabilitation engineering and humancomputer interaction and other fields. In this paper, we use Myo armband to collect sEMG signals. Myo armband can be worn above any elbow of any arm and it can capture the bioelectric signal generated when the arm muscles move. MYO can pass of signals through its low-power Blue-tooth, and its...
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...
This paper describes the reduction of chattering in functional electrical stimulation (FES) with Smith compensator. We proposed a bilateral controller using FES. In the bilateral controller, in addition to normal remote control, the reaction forces of the distant location are transmitted back to the operator. Therefore, the operator feels like being in the distant location. In controlling of the human...
This paper introduces a method of posture control for jumping robot on the frontal plane. Human beings can perform the dynamic motion (e.g. running, jumping) by taking an advantage of muscle elasticity. Biped robots with this feature, therefore, have been studied, recently. Especially among them, many robots implemented pneumatic artificial muscles to adopt this feature. These robots have achieved...
Force Myography (FMG) is a method of tracking functional motor activity using volumetric changes associated with muscle function. With comparable accuracy and multiple advantages over traditional methods of functional motor activity tracking, FMG has shown a promising potential in terms of applications in human-machine interfaces, tele-operation and healthcare devices. This paper provides a study...
The main goal of this paper is to propose an effective approach for the early detection of nocturnal seizures from multi-signals gathered by an Armband. An inertial measurement unit and muscular activities acquisition sensors are integrated in the armband, and used to collect acceleration, angular velocity and electromyogram from the arm of the monitored patient. These signals are transmitted from...
In this work, super twisting controller is tested for paraplegic knee stimulation. In contrary to the literature controllers proposed for the paraplegic patient, our command assures a uniform global convergence using the Lyapunov function. We studied, firstly, the performances of the controller by comparing them with those of literature. Then, we proposed an adaptive super twisting controller assuring...
Amyotrophic lateral sclerosis (ALS) is a paralytic disorder that affects muscles by weakening them, until reaching a certain stage of immobility, where the patient could only move his/her eyes. ALS-inflicted victims have been increasing over the past few years with no cure to be found. This has lead to a proliferation of special-aid gadgets, which are tailored to improve the life conditions of those...
This paper presents a new multi-muscle force estimation approach based on a HD-sEMG/force model in experimental context. Accordingly, we will try to estimate the muscle force of the three elbow flexors: Biceps Brachii (BB), Brachialis (BR) and Brachioradialis (BRD) in isometric isotonic conditions. This will be done by using a recently proposed sEMG/force equation model validated by simulation. For...
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...
The main purpose of this paper is to develop a system for the early diagnosis and detection of abnormalities of any patient during gait cycle. A malfunction in the gait cycle leads to pain, and undesirable effects on the bones of the legs due to large forces exerted on specific areas. The gait cycle is divided into two main phases, the stance that is characterized as the contact of the right leg with...
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