Remote lung sound monitoring device, system and method

Abstract

The invention discloses a remote lung sound monitoring device, system and method, and relates to the technical field of lung sound monitoring. The lung sound monitoring device comprises a containing box body, a sound pickup device and a sound listening device, wherein the sound pickup device and the sound listening device are arranged in the containing box body, the sound pickup device is integrally formed and comprises a lung sound collection part, an intelligent control part and a function operation part, and the sound listening device comprises a function shell and an input earplug; remotelung sound monitoring, lung sound auscultation simulation exercise and auxiliary improvement of lung sound monitoring accuracy can be realized, and the remote lung sound monitoring device is suitablefor popularization and application.

Description

technical field [0001] The invention relates to the technical field of lung sound monitoring, in particular to a remote lung sound monitoring device, system and method thereof. Background technique [0002] Lung sound signal is a kind of physiological acoustic signal generated by the human respiratory system and the outside world during the ventilation process. The generation mechanism is complex and contains rich physiological and pathological information. Normal breath sounds can be divided into alveolar breath sounds, bronchial breath sounds and tracheal sounds. Abnormal breath sounds are mainly divided into wheeze, wheeze, rale and rattle. The lung sound source is usually composed of three noise sequences. The normal breath sound source is non-Gaussian white noise generated by the interaction between the airflow in the lungs and the lung tissue, while the intermittent pulse is the lung sound source that produces rales. It is a series of crackling sounds with a duration ...

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Problems solved by technology

[0003] Lung sound is an important indicator reflecting the physiological and pathological characteristics of the lung, and is the most commonly used qualitative method for clinical diagnosis of diseases; the monitoring of lung sound in the prior art, such as a wireless stethoscope disclosed in CN 102283672 B, includes a wireless connection The auscultation head and earphones are equipped with a sound sensor, a signal processing unit and a wireless signal transmitter connected in sequence in the auscultation head, and the earphone is a wireless signal receiver, a D / A converter and a speaker connected in sequence; it can detect ordinary heart sounds and breath sounds, and can capture special heart sounds, lung sounds, and bowel sounds. It has the advantages of stability, reliability, high precision, and easy operation. However, this device lacks specific implementation products and solutions. Remains in the theoretical stage; another example is CN 101766493 B disclosing a portable visualized heart and lung sound separable Bluetooth electronic stethoscope, by means of Bluetooth wireless connection with PC, real-time analysis of heart and lung sound; can observe the heart and lung sound waveform, provide heart rate and other physiological Parameters, display, storage and recovery of heart and lung sounds; however, no detailed plan has been given for the multi-mode and function selection of wireless auscultation, and there are still defects in actual implementation; another example is the wearable lung sound detection device disclosed in CN 105662459 A, through The wearable suction cup is attached, and the lung sound collection is carried out through a modular structure, and the lung sound monitoring is carried out through wireless transmission

[0004] The above-mentioned lung sound detection in the prior art lacks a specific product structure and reasonable storage and disinfection designs. At the same time, it lacks functions such as simulation training, learning, and one-person collection of auscultation by multiple people in the teaching of lung sound auscultation. There are defects in the actual use of the product, and the corresponding simulation training cannot be carried out relatively realistically; at the same time, the lung sound collection of the prior art mainly collects audio files, which cannot effectively realize or obtain the characteristic spectrum diagram, waveform diagram, 3D Spectrum diagrams, diagnostic index tables, diagnostic results and other graphical visualization files of respiratory health for doctors to assist in real-time diagnosis

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