Respiratory condition analysis apparatus, respiratory condition display apparatus, processing method therein, and program

A respiratory condition display apparatus comprising:

• one or more processors configured to:
• acquire a time-series respiratory signal including respiratory sound of a living body, wherein the time-series respiratory signal is measured by one or more sensors coupled to the living body;
• generate a basis conversion signal based on a projection of a time frequency signal of the respiratory signal into a basis vector of a respiratory sound model;
• identify a respiratory segment that is a time segment including the respiratory sound in the respiratory signal, wherein the respiratory segment is identified on the basis of the generated basis conversion signal;
• generate a predetermined feature value of the respiratory signal for the identified respiratory segment;
• generate a degree of abnormality of the respiratory sound included in the respiratory signal on the basis of the generated predetermined feature value;
• determine whether the respiratory sound is in a normal respiratory condition or an abnormal respiratory condition on the basis of the generated abnormality degree;
• and
• display a result of the determination of the respiratory sound on a display screen.

A respiratory condition analysis method comprising:

• in a computing device:
• acquiring a time-series respiratory signal including respiratory sound of a living body, wherein the time-series respiratory signal is measured by one or more sensors coupled to the living body;
• generating a basis conversion signal based on a projection of a time frequency signal of the respiratory signal into a basis vector of a respiratory sound model;
• identifying a respiratory segment that is a time segment including the respiratory sound in the respiratory signal, wherein the respiratory segment is identified on the basis of the generated basis conversion signal;
• generating a predetermined feature value of the respiratory signal for the identified respiratory segment;
• and
• generating a degree of abnormality of the respiratory sound included in the respiratory signal on the basis of the generated predetermined feature value.

A non-transitory computer readable storage medium, having stored thereon, a set of computer-executable instructions that causes a computer perform the steps comprising:

• acquiring a time-series respiratory signal including respiratory sound of a living body, wherein the time-series respiratory signal is measured by one or more sensors coupled to the living body;
• generating a basis conversion signal based on a projection of a time frequency signal of the respiratory signal into a basis vector of a respiratory sound model;
• identifying a respiratory segment that is a time segment including the respiratory sound in the respiratory signal, wherein the respiratory segment is identified on the basis of the generated basis conversion signal;
• generating a predetermined feature value of the respiratory signal for the identified respiratory segment;
• and
• generating a degree of abnormality of the respiratory sound included in the respiratory signal on the basis of the generated predetermined feature value.