发明名称 |
Respiratory condition analysis apparatus, respiratory condition display apparatus, processing method therein, and program |
摘要 |
A respiratory condition analysis apparatus includes a respiratory signal acquisition section configured to acquire a time-series respiratory signal including respiratory sound of a living body, a respiratory segment identification section configured to identify a respiratory segment that is a time segment including the respiratory sound in the respiratory signal, a feature value generation section configured to generate a predetermined feature value of the respiratory signal for the identified respiratory segment, and a respiratory abnormality degree generation section configured to generate a degree of abnormality of the respiratory sound included in the respiratory signal on the basis of the feature value. |
申请公布号 |
US9109971(B2) |
申请公布日期 |
2015.08.18 |
申请号 |
US201113308650 |
申请日期 |
2011.12.01 |
申请人 |
SONY CORPORATION |
发明人 |
Abe Mototsugu;Myoga Chika;Nishiguchi Masayuki |
分类号 |
A61B7/00;G01L25/00;G01L21/06;A61B7/02;A61B5/08 |
主分类号 |
A61B7/00 |
代理机构 |
Hazuki International, LLC |
代理人 |
Hazuki International, LLC |
主权项 |
1. A respiratory condition analysis 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 degree of correlation between a respiratory sound model set in advance and the respiratory signal; generate a degree of reliability of the respiratory sound representing respiratory sound likeness of the respiratory signal on the basis of the correlation degree; 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 respiratory sound reliability degree; generate a predetermined feature value of the respiratory signal for the identified respiratory segment; and generate a degree of abnormality of the respiratory sound included in the respiratory signal on the basis of the feature value, wherein a time frequency signal is generated by performing a time frequency conversion on the respiratory signal, the time frequency signal is projected into a basis vector of the respiratory sound model and a basis conversion signal is generated, and a predetermined nonlinear transformation is performed on the basis conversion signal to output the correlation degree. |
地址 |
Tokyo JP |