Towards Implementing Framework to Generate Myopathic Signals

Abstract

In this paper, we describe a simulation system of myopathicsurface electromyography (sEMG) signals. The architecture of the proposed system consists of two cascading modules. SEMG signals of three pathological skeletal muscles (Biceps Brachii, InterosseursDorsalis, TibalisAnterior) were generated. Root Mean Square (RMS Envelope) and Power Spectral Density (PSD) were used to validate our system.

Authors and Affiliations

Amira Dridi, Jassem Mtimet, Slim Yacoub

Keywords

Related Articles

A Machine Learning Approach towards Detecting Dementia based on its Modifiable Risk Factors

Dementia is considered one of the greatest global health and social care challenges in the 21st century. Fortunately, dementia can be delayed or possibly prevented by changes in lifestyle as dictated through known modifi...

Recognition and Classification of Power Quality Disturbances by DWT-MRA and SVM Classifier

Electrical power system is a large and complex network, where power quality disturbances (PQDs) must be monitored, analyzed and mitigated continuously in order to preserve and to re-establish the normal power supply with...

Vision Based Geo Navigation Information Retrieval

In order to derive the three-dimensional camera position from the monocular camera vision, a geo-reference database is needed. Floor plan is a ubiquitous geo-reference database that every building refers to it during con...

New electronic white cane for stair case detection and recognition using ultrasonic sensor

Blinds people need some aid to interact with their environment with more security. A new device is then proposed to enable them to see the world with their ears. Considering not only system requirements but also technolo...

Voltage Variation Signals Source Identification and Diagnosis Method

Power Quality (PQ) problem has become an important issue for generating bad impact to the users nowadays. It is important to detect and identify the source of the PQ problem. This paper presents a voltage variation signa...

Download PDF file
  • EP ID EP499557
  • DOI 10.14569/IJACSA.2019.0100350
  • Views 88
  • Downloads 0

How To Cite

Amira Dridi, Jassem Mtimet, Slim Yacoub (2019). Towards Implementing Framework to Generate Myopathic Signals. International Journal of Advanced Computer Science & Applications, 10(3), 383-389. https://europub.co.uk/articles/-A-499557