Linear classification algorithm for true and false cough sounds of patients with cervical spinal cord injury medium and equipment

Abstract

The invention provides a linear classification algorithm for true and false coughs of patients with cervical spinal cord injury. The algorithm is characterized by comprising the following steps: acquiring a plurality of unvoiced sound samples and voiced sound samples, intercepting initial segment sequences of the unvoiced sound samples and voiced sound samples, and filtering the initial segmentsequences; calculating a zero-crossing rate and a maximum autocorrelation coefficient of the obtained sequences; establishing a linear classifier by taking the zero-crossing rate and the maximum autocorrelation coefficient as characteristics, and training a linear classifier by taking the unvoiced sound samples and the voiced sound samples as a sample set; and identifying the true cough and the shouting type pseudocough of a patient with the cervical spinal cord injury through the trained linear classifier. According to the algorithm, the difficulty that a recognition model cannot be trained due to insufficient cough sound training samples of patients with cervical spinal cord injury is eliminated; the true and false coughs can be recognized only by utilizing unvoiced sound and voiced sound signals, and the interference of the false cough of a shouting sound type on the analysis of the cough intensity is eliminated; meanwhile, the method is simple in model, small in calculation amountand convenient to implement in wearable equipment.

Description

technical field [0001] The invention relates to the field of medical equipment and medical signal processing, and more specifically relates to a linear classification algorithm, medium and equipment for the true and false cough sounds of patients with cervical spinal cord injury. Background technique [0002] Cervical spinal cord injury has a high mortality rate, high disability rate, and many complications. Studies have shown that the quality of respiratory function often determines the patient's recovery and survival rate, and also determines whether to provide patients with assisted breathing devices. Cough is the original protective reflex of human beings. It is the perfect product of respiratory muscles and nervous system. It is also a concentrated expression of lung reserve function. The strength of cough sound can reflect the quality of respiratory function to a certain extent. [0003] However, some patients with cervical spinal cord injury cannot cough normally due...

AI Technical Summary

Problems solved by technology

[0004] The current common cough recognition algorithm does not consider the difference between the above two sounds, and cannot be directly applied to the respiratory function evaluation of patients with cervical spinal cord injury

In addition, there is currently no publicly available cough sound sample data set for patients with cervical spinal cord injury, and the number of cough sound samples collected by each hospital is also limited

The lack of training samples has caused great difficulties in establishing a true and false cough recognition model through machine learning methods

[0005] Under the condition of insufficient training samples, how to establish a recognition algorithm for the real cough and the pseudo-cough of the shouting type in patients with cervical spinal cord injury has not yet been solved

Images