公开(公告)号：US20200215278A1

公开(公告)日：2020-07-09

申请号：US16697384

申请日：2019-11-27

申请人： RESMED SENSOR TECHNOLOGIES LIMITED

发明人： Klaus Henry SCHINDHELM ,  Steven Paul Farrugia

IPC分类号： A61M16/00 ,  A61B5/087

摘要： An apparatus, such as a pressure support ventilator or respiratory monitor, provides operations for a patient, such a patient with heart failure, Chronic Obstructive Pulmonary Disease or other respiratory insufficiency. In some embodiments, the apparatus may detect a respiratory condition, such as a decompensation event and/or exacerbation event, from respiratory parameters. A clinical alert message may be transmitted or displayed for a physician based on the results of query presented to the patient in response to an analysis of the one or more respiratory parameters. In some embodiments, the apparatus generates a potential relapse indicator that may provide a prediction of a risk of an oncoming clinical event such as for evaluating whether to release the patient from a hospital.

公开(公告)号：US20240164726A1

公开(公告)日：2024-05-23

申请号：US18388624

申请日：2023-11-10

申请人： ResMed Sensor Technologies Limited

发明人： Klaus Henry SCHINDHELM ,  Steven Paul FARRUGIA ,  Michael Waclaw COLEFAX ,  Faizan JAVED ,  Rami KHUSHABA ,  Conor HENEGHAN ,  Philip DE CHAZAL ,  Alberto ZAFFARONI ,  Niall FOX ,  Patrick CELKA ,  Emer O'HARE ,  Stephen James REDMOND

IPC分类号： A61B5/00 ,  A61B5/08 ,  A61B5/103 ,  A61B5/113 ,  G08B21/02 ,  G16H40/63 ,  G16H50/20

CPC分类号： A61B5/7275 ,  A61B5/08 ,  A61B5/103 ,  A61B5/113 ,  A61B5/4818 ,  A61B5/7221 ,  A61B5/7264 ,  A61B5/742 ,  A61B5/746 ,  G08B21/02 ,  G16H40/63 ,  G16H50/20 ,  G16H50/30

摘要： Disclosed is a cardio-pulmonary health monitoring apparatus. The apparatus comprises a contactless motion sensor configured to generate one or more movement signals representing bodily movement of a patient during a monitoring session; a processor; and a memory storing program instructions configured to cause the processor to carry out a method of processing the one or more movement signals. The method comprises extracting one or more sleep disordered breathing features from the one or more movement signals, and predicting whether a clinical event is likely to occur during a predetermined prediction horizon based on the one or more sleep disordered breathing features.