Abstract: Neuromuscular disorders term refers to all diseases that affect nerves and muscles. Amyotrophic Lateral Sclerosis (ALS, also called Lou Gehrig’s disease) is one of the most common neuromuscular diseases worldwide. Individuals with ALS may suffer from voluntary muscles (legs and arms muscles) weakness and difficulty in swallowing or breathing. Recently, mobile technology is used in the health sector to improve the quality of and access to health care. Mobile health applications help patients to monitor their treatments when it becomes difficult to obtain attention from health workers regularly. EMGNeu is a mobile health application that aims to help ALS patients to discover their disease once it occurs based on EMG signal. That is by focusing on new trends of integrating artificial intelligence methodologies as support vector machines into mobile telemedicine solutions. EMGNeu doesn't only help patients to track their neuromuscular conditions but it also helps their physician as well. Physicians are able to track their patients by receiving alerts when the disease is discovered and sending recommendations to the patients to help them monitoring their emergency case until they could obtain medical help.

Keywords: mHealth, Neuromuscular disorders, EMG signal, SVM Classifier, Bioinformatics

ACM Classification Keywords: I.2 Artificial Intelligence; I.2.1 Applications and Expert Systems - Medicine and science

Link:

EMGNEU: MOBILE HEALTH APPLICATION FOR NEUROMUSCULAR DISORDERS DIAGNOSIS

Nahla F. Abdel-Maboud?, Bassant Mohamed ELBagoury, Mohamed Roushdy, Abdel-Badeeh? M. Salem

http://www.foibg.com/ijitk/ijitk-vol09/ijitk09-01-p02.pdf