Wheeze detection apparatus, wheeze detection method, and wheeze detection program

Abstract

Provided is a wheeze detection apparatus, a wheeze detection method, and a wheeze detection program which facilitate detection of wheezing during a severe asthma attack or wheezing of a heavy person or a person with a high BMI. The wheeze detection apparatus (1) includes a breathing sound volume deriving unit (43) which derives the breathing sound volume of a subject on the basis of sound measured by a first sound measuring device (M1) for measuring lung sounds from the subject, and a wheezing detection unit (44) which extracts a maximum point from the intensity distribution per frequency of said sound and detects wheezing on the basis of information on the maximum point. The wheezing detection unit (44) sets the detection sensitivity for wheezing to a higher value when the breathing sound volume is outside a specific range than when the breathing sound volume is within the specific range.

Description

technical field [0001] The invention relates to a wheeze detection device, a wheeze detection method and a wheeze detection program. Background technique [0002] There is known a device capable of extracting lung sounds as electrical signals using a microphone (for example, refer to Patent Document 1 and Patent Document 2). Lung sounds are produced in the lungs and thorax along with respiratory movement, and are all sounds except the sound sourced from the cardiovascular system, regardless of whether it is normal or abnormal. Lung sounds are classified into breath sounds, which are physiological sounds originating from the air flow in the airway due to breathing, and additional sounds, which are abnormal sounds generated in pathological conditions such as stridor and pleural friction rub. [0003] Patent Document 1 describes a biological sound examination device capable of obtaining an index value that appropriately reflects the state of the airway. The biological sound i...

AI Technical Summary

Problems solved by technology

[0009] In addition, if the asthma attack worsens, the breathing becomes short of breath, so the breathing volume becomes louder, making it difficult to detect wheezing

In addition, if the attack of asthma becomes severe to the degree of respiratory failure, the breathing becomes shallow and small, so the breath sounds and wheezing become small, and it is difficult to detect wheezing

[0010] In Patent Document 1, it is shown that the index value reflecting the state of the airway is corrected based on the sound volume, but it is not clear whether it is possible to detect stridor when the breathing volume is small or the breathing volume is large.

[0011] Patent Document 2 describes that several algorithms are stored in advance to derive measurement result information suitable for the measurement purpose, but the algorithm is not selected based on the breathing volume.

Images