Lung function detection method, system and equipment based on earphone and readable storage medium

A detection method and lung function technology, applied in the field of deep learning, can solve problems such as limited ability, function shrinkage, and inability to obtain flow rate-volume curves, and achieve the effects of reducing costs, increasing convenience, and improving the ability to characterize lung function.

Pending Publication Date: 2022-05-10
SOUTH UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA
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Problems solved by technology

Although these designs significantly reduce the cost of use, their functions are greatly reduced. The above-mentioned smart phone-based algorithm can only obtain a small number of lung function indicators, but cannot obtain the flow rate that can be obtained by both traditional medical spirometers and home spirometers -Volume curve (this curve describes the change relationship between the gas flow rate and volume when the lungs exchange gas with the outside world when the user blows and inhales
Different lung diseases have their own specific shape of the flow-volume curve), so the ability to characterize the user's lung function status is very limited

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  • Lung function detection method, system and equipment based on earphone and readable storage medium
  • Lung function detection method, system and equipment based on earphone and readable storage medium
  • Lung function detection method, system and equipment based on earphone and readable storage medium

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[0053] It should be understood that the specific embodiments described here are only for explaining the present invention, but not for limiting the present invention.

[0054] At present, a series of software algorithms based on smart phones have been proposed by the academic community, which can be used to detect lung function. The general principle is: the user needs to inhale and blow hard when performing the lung function test. The algorithm records the airflow sound generated when the user breathes hard and inhales through the microphone on the smart phone, and gets the user's lung function status by analyzing these airflow sounds. Although these designs significantly reduce the cost of use, their functions are greatly reduced. The above algorithms based on smart phones can only get a small number of lung function indexes, but can't get the flow rate-volume curve which can be obtained by both traditional medical pulmonary function instruments and household pulmonary function ins

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Abstract

The invention discloses a lung function detection method, system and equipment based on an earphone and a computer readable storage medium, and the method, system and equipment collect the air blowing and inspiration sound of a user through a microphone on the earphone worn by the user, so that the user does not need to prepare expensive detection equipment or specially go to a hospital for detection. The convenience of detection implementation is improved, and the cost required by detection equipment is reduced; signal processing such as frequency spectrum conversion and signal feature analysis is performed on the collected airflow sound, and then a deep learning algorithm is used to convert frequency spectrums in the blowing and inspiration stages into a final flow velocity-volume curve, so that the flow velocity-volume of the airflow sound is calculated on the premise that the low cost is maintained. And the flow velocity-volume curve can be obtained by performing lung function detection based on a common commercial earphone, so that the lung function characterization capability of the scheme is greatly improved.

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Application Information

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Owner SOUTH UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA
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