earticle

영어

Stroke is a common condition among the elderly in high latitude and cold area. Its high occurrence, recurrence and disability rate makes it a serious threat for the health and life of middle to old age population, and a heavy burden for patient’s family and the society as a whole. Surface electromyogram signal is a bio-electricity signal recorded from electrodes on muscle surface with controlled neuromuscular actions. It is a direct signal revealing muscle activity and function, and it can reflect neuromuscular activity to certain extent. This study focuses on the accumulated data of electromyographic signal recorded from human upper limb, using Matlab tool to analyze and compare neuromuscular signals between healthy population and stroke patients, finding characters of surface neuromuscular signals with mathematical methods such as Fourier transformation, Hilbert transformation and AR modelling, and then induce the changing pattern of neuromuscular signals with various physiological indicators and make prediction of muscular pathological tendency.