Laura Bazzichi ([email protected]) Marco Dini ([email protected]) Alessandra Rossi ([email protected]) Silvia Corbianco ([email protected]) Francesca De Feo ([email protected]) Camillo Giacomelli ([email protected]) Cristina Zirafa ([email protected]) Claudia Ferrari ([email protected]) Bruno Rossi ([email protected]) Stefano Bombardieri (s.bombardie...

Surface electromyography (s­EMG) sensors are a promising way to control upper­limb prostheses. However a training session is necessary in order to set up the controller that will make s­EMG based movement possible. All data recorded during the training session are used by a machine learning algorithm to make a posture classification, that will allow the controller to distinguish each posture. T...

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...

Wavelet analysis is one of the most important methods for analyzing the surface Electromyography (sEMG) signal. The aim of this study was to investigate the wavelet function that is optimum to identify and denoise the sEMG signal for multifunction myoelectric control. This study is motivated by the fact that there is no universal mother wavelet that is suitable for all types of signal. The righ...

Background: Surface Electromyography (SEMG) signal has used in monitoring muscle activities. It has been widely applied in many areas, such as body member prosthesis, noise cancellation for braincomputer interface, and robotics. The SEMG acquisition method for collecting the signal with low-noise has extensively investigated in the last decade. The objective of this study is to review the recen...

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...

The aim of this study was to remove the two principal noises which disturb the surface electromyography signal (Diaphragm). These signals are the electrocardiogram ECG artefact and the power line interference artefact. The algorithm proposed focuses on a new Lean Mean Square (LMS) Widrow adaptive structure. These structures require a reference signal that is correlated with the noise contaminat...

Conventional speech communication systems do not perform well in the absence of an intelligible acoustic signal. Silent Speech Interfaces enable speech communication to take place with speech-handicapped users and in noisy environments. However, since no acoustic signal is available, information on nasality may be absent, which is an important and relevant characteristic of several languages, p...