Surface electromyogram synchronous audio signal acquisition method and equipment thereof

Abstract

The invention discloses a surface electromyogram synchronous audio signal acquisition method, which comprises the following steps: (1) acquiring surface electromyogram signals of trapezius muscle, sternoclavicular mastoid muscle, supralingual muscle group, sublingual muscle group and cricothyroid muscle during resting, moving, pronouncing, punctuating and reading by a subject, and synchronously acquiring voice signals of the subject; and (2) comprehensively analyzing the surface electromyogram signals and the voice signals obtained in the step (1), and analyzing a relationship between pronunciation and muscle recruitment time and amplitude. By using the surface electromyogram synchronous audio signal acquisition method, muscle recruitment conditions and audio signals of the subject in different states such as resting, moving, pronouncing, punctuating and reading and the like can be synchronously acquired, so that whether the external laryngeal muscle has functional dysphonia or not isdetected in a non-invasive manner. The invention also discloses equipment for realizing the surface electromyogram synchronous audio signal acquisition method.

Description

technical field [0001] The invention relates to a method for collecting a synchronous audio signal of a surface electromyogram, and at the same time relates to a device for collecting a synchronous audio signal of a surface electromyogram. Background technique [0002] In 1944, Weddell et al. first applied electromyography to throat muscle examination, and judged the functional state of the neuromuscular system by studying the bioelectrical activity of the throat muscles during pronunciation, breathing, and swallowing, and provided corresponding scientific basis for clinical diagnosis. Clinically applied electromyography examinations mostly use needle-shaped electrodes (that is, electrodes inserted into the muscle belly) to detect and obtain electromyographic signals, which have the advantages of accurate identification of signals, less interference from surrounding signals, and accurate detection positions. However, due to its invasive operation However, the clinical applic...

AI Technical Summary

Problems solved by technology

Since there is no organic lesion in functional dysphonia, and there is no abnormality in human anatomy, the current research on functional dysphonia lacks targeted research equipment, and there is a lack of effective detection methods for the judgment of functional dysphonia

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