RAKSHIT, Raj,SINHARAY, Arijit,DESHPANDE, Parijat Dilip,PAL, Arpan,CHAKRAVARTY, Tapas,GHOSH, Deb Kumar,DATTA, Shreyasi
申请号：
AU2017261451
公开号：
AU2017261451B2
申请日:
2017.11.13
申请国别(地区):
AU
年份:
2018
代理人:
摘要：
#$%^&*AU2017261451B220181220.pdf#####ABSTRACT A pulmonary health monitoring system aims at assessing pulmonary health of subjects. Conventional techniques used for pulmonary health monitoring are not convenient to the subjects and needs considerable cooperation from the subjects. But, there is a challenge in 5 utilizing the conventional devices to the subjects not capable of providing considerable cooperation. The present disclosure includes a blow device applicable to all kind of subjects and doesn't need cooperation from the subjects. Further, in the present disclosure, the blow device generates a phase shifted signal corresponding to a breathe signal and the phase shifted signal is further processed to extract a set of physiological features. Further, pulmonary health of a subject 0 is analyzed by processing the set of physiological features based on a ridge regression based machine learning technique. <；<；To be published with Fig. 2>；>； 5 41302 304 BREATHE SIGNAL , SIGNAL PROCESSING U 3 UNIT 308 UNIT3O06 *I iI BLOW DEVICE 314 PHYSIOLOGICAL FEATURE EXTRACTION UNIT 310 LOCALLY WEIGHTED LEARNING BASED CLASSIFICATION UNIT 312 FIG. 3
