Objectives This paper presents a technique for general quantitative evaluation of musculoskeletal impact through the evaluation of postural tests to assess two specific muscle groups. The two muscle groups chosen were the left upper trapezius, utilized while operating an ultrasound system’s control panel, and the right suprascapular fossa, utilized while scanning. Surface electromyography (SEMG...

Abstract Surface electromyography (sEMG) records the electrical potentials on skin surface generated by activity of muscle fibers. To better understand physiology and to assess signal processing algorithms, sEMG models have been developed in past. However, numerical required for modeling accurate geometries very often a high computational complexity rendering realistic simulations challenging. ...

Surface electromyography (sEMG), as a key technology of non-invasive muscle computer interface, is an important method human-computer interaction. We proposed CNN-IndRNN (Convolutional Neural Network-Independent Recurrent Network) hybrid algorithm to analyse sEMG signals and classify hand gestures. Ninapro’s dataset 10 volunteers was used develop the model, by using only one time-domain feature...

The study of hand and finger movement is an important topic with applications in prosthetics, rehabilitation, and ergonomics. Surface electromyography (sEMG) is the gold standard for the analysis of muscle activation. Previous studies investigated the optimal electrode number and positioning on the forearm to obtain information representative of muscle activation and robust to movements. Howeve...

OBJECTIVE To investigate the preliminary effectiveness of surface electromyography (sEMG) biofeedback delivered via interaction with a commercial computer game to improve motor control in chronic stroke survivors. DESIGN Single-blinded, 1-group, repeated-measures design: A1, A2, B, A3 (A, assessment; B, intervention). SETTING Laboratory and participants' homes. PARTICIPANTS A convenience ...

PURPOSE Applying surface electromyography (sEMG) to the study of voice, speech, and swallowing is becoming increasingly popular. An improved understanding of sEMG and building a consensus as to appropriate methodology will improve future research and clinical applications. METHOD An updated review of the theory behind recording sEMG for the speech and swallowing systems is provided. Several f...

This paper proposes a neuromusculoskeletal (NMS) model to predict individual muscle force during elbow flexion and extension. Four male subjects were asked to do voluntary elbow flexion and extension. An inertial sensor and surface electromyography (sEMG) sensors were attached to subject's forearm. Joint angle calculated by fusion of acceleration and angular rate using an extended Kalman filter...

Automated massage machines have been widely used in family for the past few years, but there was limit scientific evidence to support for them positive effects. This paper aims to evaluate the massage effects on recovery of muscle fatigue and explore the optimal massage machine design parameters. Two subjects participated in prone bridge exercises to make the erector spinae muscles fatigue befo...

The purpose of the study was to compare smart apparel (SA) muscle activity measurements to surface electromyography (sEMG) muscle activity measurements during exercise, and determine if any systematic bias of the apparel exists. Thirty-five male participants (Ages 23.1±2.92 yrs, height 178±0.09 cm, mass 81.14±10.59 kg, body fat percentage 15.4±4.79%) provided informed consent for participation....

BACKGROUND In virtual reality (VR) systems, the user's finger and hand positions are sensed and used to control the virtual environments. Direct biocontrol of VR environments using surface electromyography (SEMG) signals may be more synergistic and unconstraining to the user. The purpose of the present investigation was to develop a technique to predict the finger joint angle from the surface E...