US 12,245,870 B2
Methods and apparatus for monitoring chronic disease
Faizan Javed, Sydney (AU); and Steven Paul Farrugia, Sydney (AU)
Assigned to ResMed Sensor Technologies Limited, Dublin (IE)
Filed by RESMED SENSOR TECHNOLOGIES LIMITED, Clonskeagh (IE)
Filed on Apr. 14, 2021, as Appl. No. 17/301,786.
Application 17/301,786 is a continuation of application No. 15/313,225, granted, now 10,980,476, previously published as PCT/AU2015/050273, filed on May 25, 2015.
Claims priority of application No. 2014901975 (AU), filed on May 26, 2014.
Prior Publication US 2021/0298666 A1, Sep. 30, 2021
Int. Cl. A61B 5/08 (2006.01); A61B 5/00 (2006.01); A61B 5/087 (2006.01); A61B 5/113 (2006.01); A61M 16/00 (2006.01)
CPC A61B 5/4842 (2013.01) [A61B 5/08 (2013.01); A61B 5/0816 (2013.01); A61B 5/087 (2013.01); A61B 5/113 (2013.01); A61B 5/4818 (2013.01); A61B 5/486 (2013.01); A61B 5/7275 (2013.01); A61B 5/7282 (2013.01); A61B 5/746 (2013.01); A61M 16/0069 (2014.02); A61M 2230/63 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A method of monitoring chronic respiratory disease state of a patient in a system comprising a plurality of monitoring devices and a remote server configured for multi-patient monitoring, the plurality of monitoring devices and the remote server being configured for communications over a network, the method comprising:
extracting, in a processor of the system, for each of a plurality of monitoring sessions, a respiratory feature from a respiratory signal indicative of the patient's respiration during the monitoring session and generated with a monitoring device of the plurality of monitoring devices, the respiratory signal derived from at least one sensor;
computing, in a processor of the system, a stability measure of the patient for a monitoring session, the stability measure representing an indication of a change point having occurred at the monitoring session in a statistical distribution of the respiratory feature; and
generating, by a processor of the system, an output comprising an alert or presentation based on the stability measure, wherein the generating comprises transmitting, via communications over the network, a message for the output, and displaying, on a display device, the alert or presentation in response to the transmitting,
wherein the chronic respiratory disease state of the patient comprises Chronic Obstructive Pulmonary Disease or a cardio-pulmonary disorder,
wherein the computing forms and analyses a time series of successive values of the extracted respiratory feature indexed by monitoring session identifiers, wherein each monitoring session of the plurality of monitoring sessions is a duration, and wherein the indication is a sum of values of a posterior distribution of run length for the monitoring session given values of the respiratory feature up to and including the monitoring session.