The invention provides an expectoration auxiliary control method and device. The method comprises the steps that audio signals of
breathing sounds and cough sounds at multiple positions of the chest of a patient are collected through an audio
sensor array, and a standardized audio
feature data set is obtained through
noise reduction, segmentation and
feature extraction; a dynamic weighted
graph model is constructed, and a random edge sampling
algorithm and a parallel
batch processing dynamic
algorithm are combined to analyze and obtain a
sputum viscosity index and a
sputum distribution position map; based on the result, mapping the vibration parameter space into an unweighted disk diagram, and obtaining a personalized
vibration treatment scheme by using a shortest path
algorithm; in combination with the real-time
breathing cycle of the patient, working parameters of the
sound wave vibrator and the negative pressure suction device are synchronously controlled, and a coordinated and consistent multi-mode treatment execution instruction is obtained; and collecting real-time feedback data in treatment, and dynamically adjusting working parameters through
reinforcement learning to obtain an optimized expectoration
adjuvant therapy scheme. Intelligent adjustment can be achieved based on the real-time
breathing state and
sputum characteristics of the patient, the expectoration efficiency is improved, and discomfort of the patient is reduced.