A machine learning based frame work for classification of neuromuscular disorders

Abstract

Neuromuscular disorders, primarily due to either random mutation of genes or problems in the human immune system, cause muscular atrophy, weakness or balancing problems. With an estimated diabetic population of 578 million by 2030, the subsequent risk of being affected by diabetic neuropathy is also more. In particular Amyotrophic lateral sclerosis (ALS) is the non-curable disease caused by death or loss of neurons. Current work proposes a machine learning based frame work to demarcate between normal and myopathic subjects. Electromyography (EMG) signals taken from the biceps brachii muscle located on the upper arm are considered for the purpose.