发明名称 SYSTEM AND METHOD FOR OUTPATIENT MANAGEMENT OF CHRONIC DISEASE
摘要 An outpatient ambulatory patient worn apparatus for managing chronic lung disease includes a plurality of sensors configured to be worn by a patient and to measure a plurality of physiological data. The plurality of sensors includes at least an oximeter, a respiratory rate sensor, and at least one activity or motion sensor. A central monitoring unit (CMU) is worn by the patient in an outpatient setting during activities of daily living. The CMU categorizes each recorded measurement of each of the plurality of sensors stored in a set of time stamped primary data by a predominate activity type to generate a set of activity type stamped data, the predominate activity types include rest, exertion, and sleep. A generate report process provides at least one or more reports. An outpatient ambulatory patient worn long-term oxygen therapy (LTOT) apparatus and a method for managing chronic lung disease are also described.
申请公布号 US2016174903(A1) 申请公布日期 2016.06.23
申请号 US201514976352 申请日期 2015.12.21
申请人 Cutaia Michael 发明人 Cutaia Michael
分类号 A61B5/00;A61B5/145;A61M16/20;A61B5/11;A61B5/0488;A61M16/10;G06F19/00;A61B5/08 主分类号 A61B5/00
代理机构 代理人
主权项 1. An outpatient ambulatory patient worn apparatus for managing chronic lung disease comprising: a plurality of sensors configured to be worn by a patient and to measure a plurality of physiological data, said plurality of sensors including at least an oximeter, a respiratory rate sensor, and at least one activity or motion sensor; a central monitoring unit (CMU) communicatively coupled to said plurality of sensors and to an interface device, said CMU comprising a computer, and said CMU to be worn by the patient in an outpatient setting during activities of daily living, said CMU programmed to record substantially concurrently a set of time stamped primary data comprising measurement data from each of said plurality of sensors to a non-volatile memory at a predetermined interval for one or more epochs of time, and to categorize each recorded measurement of each of said plurality of sensors stored in said set of time stamped primary data by a predominate activity type to generate a set of activity type stamped data, said predominate activity type selected from a plurality of activity types including rest, exertion, and sleep; and a generate report process running on said CMU to provide at least one or more reports substantially in real time including at least an indication or determination of whether a chronic lung disease treatment is needed by the patient based on said set of activity type stamped data.
地址 Brooklyn NY US