This study has described and experimentally validated the differential electrodes surface electromyography (sEMG) model for tibialis anterior muscles during isometric contraction. This model has investigated the effect of pennation angle on the simulated sEMG signal. The results show that there is no significant effect of pennation angle in the range 0° to 20° to the single fibre action potenti...

INTRODUCTION Surface electromyography (sEMG) is a typical part of instrumented gait assessment for the child with cerebral palsy (CP). Numerous methods exist to characterize the sEMG in order to gain insight into the neuromuscular impairments that exist in CP, including the use of muscle onset and offset and amplitude. However, these methods have focused upon one aspect of the sEMG to character...

This paper proposes the design of a rehabilitation robot for upper limb based on physiological electrical signals. The system uses surface electromyography (sEMG) and electroencephalography (EEG) signals to control robot's movements. has modular structure consisting mechanical hand, system, data acquisition system. STM32 microcontroller Bluetooth module real-time transmission control. collects ...

A Wearable Electromyography device includes the advantage of Electromyography (EMG) sensors and provides a wired or wireless human machine interface (HMI) for interacting with computing systems and attached devices associated with electrical signals generated by specific movement of the patient’s muscles. Following initial automated self-calibration and positional localization processes, measur...

Recently, several researchers have considered the problem of reconstruction of handwriting and other meaningful arm and hand movements from surface electromyography (sEMG). Although much progress has been made, several practical limitations may still affect the clinical applicability of sEMG-based techniques. In this paper, a novel three-step hybrid model of coordinate state transition, sEMG fe...

Conventionally, gesture recognition based on nonintrusive muscle-computer interfaces required a strongly-supervised learning algorithm and a large amount of labeled training signals of surface electromyography (sEMG). In this work, we show that temporal relationship of sEMG signals and data glove provides implicit supervisory signal for learning the gesture recognition model. To demonstrate thi...

AIM To evaluate female runners' pelvic floor muscles using three-dimensional ultrasonography (3DUS) and surface electromyography (SEMG). MATERIAL AND METHODS A cross-sectional study was conducted on 24 female runners. SEMG was performed using surface electrodes inserted in the vagina. 3DUS was performed using perineal convex transducer. SEMG was evaluated at rest and with maximum voluntary co...

OBJECTIVES Muscular targets that are deep or inaccessible to surface electromyography (sEMG) require intrinsic recording using fine-wire electromyography (fEMG). It is unknown if fEMG validly record cortically evoked muscle responses compared to sEMG. The purpose of this investigation was to establish the validity and agreement of fEMG compared to sEMG to quantify typical transcranial magnetic ...

Abstract: Significant differences in surface electromyography (SEMG) have been reported between persons with low back pain (LBP) and normal, healthy controls. This manuscript presents a systematic meta-analytic review of studies examining SEMG differences between these groups. Forty-four articles were identified using MEDLINE and a review of reference lists in articles. For static SEMG, the lar...