EXHALED GAS MEASUREMENT DEVICE, AND CONTROL METHOD THEREFOR

    公开(公告)号:EP3018477B1

    公开(公告)日:2018-10-24

    申请号:EP14820208.8

    申请日:2014-06-16

    摘要: The exhalation measurement device of the present invention comprises a chamber (23), a measurement component (45), a piezoelectric pump (44), a first learning controller (100), and a second learning controller (110). The chamber (23) temporarily holds exhalation. The measurement component (45) measures a specific component in the exhalation. The piezoelectric pump (44) supplies the measurement component (45) with the exhalation held in the chamber (23). The first learning controller (100) performs operational setting on the piezoelectric pump (44) before the piezoelectric pump (44) supplies the exhalation in the chamber (23) to the measurement component (44). The second learning controller (110) performs operational setting on the piezoelectric pump (44) after the piezoelectric pump (44) has started supplying the exhalation in the chamber (23) to the measurement component (45), but before the measurement component (45) performs its measurement.

    SYSTEM AND METHOD FOR PULMONARY HEALTH MONITORING
    9.
    发明公开
    SYSTEM AND METHOD FOR PULMONARY HEALTH MONITORING 审中-公开
    用于肺部健康监测的系统和方法

    公开(公告)号:EP3320840A1

    公开(公告)日:2018-05-16

    申请号:EP17201120.7

    申请日:2017-11-10

    摘要: 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 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 is analyzed by processing the set of physiological features based on a ridge regression based machine learning technique.

    摘要翻译: 肺部健康监测系统旨在评估受试者的肺部健康状况。 用于肺部健康监测的常规技术对于受试者不方便并且需要来自受试者的相当大的合作。 但是,将常规设备用于不能提供可观合作的主题是一个挑战。 本公开内容包括适用于所有种类主题的吹塑装置,并且不需要来自主题的合作。 此外,在本公开中,吹气装置生成对应于呼吸信号的相移信号,并且相移信号被进一步处理以提取一组生理特征。 此外,通过基于基于脊线回归的机器学习技术处理该组生理特征来分析对象的肺健康。