Intelligent diagnosis system for lung disease based on voice and respiratory sound analysis

By using hierarchical excitation control based on speech and breath sound analysis, the location of lung lesions can be accurately located, solving the problem that existing technologies cannot provide the spatial location of lung abnormalities, and enabling precise diagnosis and treatment guidance for lung diseases.

CN122398262APending Publication Date: 2026-07-17HEFEI NO 2 PEOPLES HOSPITAL

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HEFEI NO 2 PEOPLES HOSPITAL
Filing Date
2026-04-21
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing lung sound diagnostic systems cannot provide specific spatial location information of lung abnormalities, and therefore cannot provide location guidance for targeted therapy or interventional surgery.

Method used

A lung disease intelligent diagnostic system based on speech and breath sound analysis is adopted. The system acquires speech excitation signals and lung sound response signals through a signal acquisition module, and performs three-level progressive excitation control in combination with a hierarchical excitation control module, including wideband pulse excitation, frequency sweep excitation and narrowband tuning excitation, to accurately locate the lesion.

Benefits of technology

It enables precise localization of lung lesions and intelligent identification of disease types, providing spatial coordinate information and type judgment of lesions to support precision clinical treatment.

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Abstract

本发明公开了一种基于语音与呼吸音分析的肺部疾病智能诊断系统,涉及医疗诊断技术领域;该系统获取受试者按照预设文本发出的语音激励信号,并采集胸壁网格位置的肺音响应信号,通过三层递进激励控制实现病灶定位:第一层采用宽频脉冲激励,计算各解剖分区肺音响应能量的标准化偏差,筛选候选异常分区;第二层根据标准化能量偏差方向自适应确定扫频范围,采用扫频激励计算频响比值并识别异常频段;第三层根据异常频段确定聚焦频带,采用窄带调谐激励计算肺音能量梯度模值并进行区域生长,形成病灶区域后计算加权质心作为病灶位置;本发明解决现有肺音诊断系统仅能判断有无异常而无法定位病灶位置的问题,为肺部疾病的精准治疗提供空间位置指导。
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