Koninklijke Philips Corporation N.V.

Ric Investments, Inc.

Benjamin Irwin Shelly

Michael Thomas Kane

Gregory Delano Matthews

Heather Dawn Ressler

Jonathan Sayer Grashow

Peter Douglas Hill

Zachary Dean Paul

Mark Dominic D'Angelo

Greg Matthews

Daniel A Jonczak

Duane H Carter

Jonathan Kurtz

Tim Dixon

Monica H Bush

Andrew DeGuilio

Eugene Nelson Scarberry

Daan Anton Van Den Ende

Robert William Baiko

Richard Andrew Sofranko

John Raymond Pujol

David W Smith

Mark William Dimatteo

Mark Wayne Barclay

Christopher Scott Lucci

Gaurav Trivedi

Roger Wallace Strane

Sankarasubrahmani Uday Shankar

Lawrence Anthony Jacob

Andreas Ralph Maihoefer

Duane Howard Carter, Jr

Pooja Chatterjee

Bryan Richard McFadden

Bryan Richard Mcfadden

A method of acclimating a patient to a therapy and a system for carrying out such method. The method includes providing the patient with an initial step of a therapy set up program for the patient to perform and determining at least one step metric. The at least one step metric determined is: a stress level of the patient while performing the initial step, successful completion of the initial step, the time needed to complete the initial step, and/or the quantity of errors made while carrying out the initial step. The method further includes determining a subsequent step for the patient to perform immediately after the initial step based on the at least one step metric and providing the patient with the subsequent step.

System and method for acclimation to therapy

A system for obtaining and providing enhanced PAP metrics of a patient's sleep period includes: a pressure support device for use in providing a flow of breathing gas to the patient; a processing unit; and a number of auxiliary devices in wireless communication with the processing unit. Each auxiliary device of the number of auxiliary devices is structured to detect and collect sleep-related data of the patient. The processing unit is programmed to: receive data obtained by a number of sensors of the pressure support device during operation of the pressure support device in providing the flow of breathing gas to the patient; receive supplemental data obtained by the number of auxiliary devices while the pressure support device is not providing the flow of breathing gas to the patient; and determine the enhanced PAP metrics of the sleep period of the patient utilizing the data and the supplemental data.

System and method for providing enhanced pap metrics

A method for increasing adherence of a patient to a therapy provided by a pressure support device includes: collecting data regarding a number of attributes of the patient along with time information thereof; determining the occurrence of a sleep-related event from the data; determining a condition of the pressure support device; and providing an indication to the patient responsive to determining the occurrence and determining the condition.

System and method for increasing adherence to a pressure support therapy

The present disclosure pertains to a system and method for providing sleep positional therapy and paced breathing to a user for a sleep session. The system and method may be used to treat positional obstructive sleep apnea, positional snoring, and/or other conditions to improve sleep onset latency, relaxation, reduce blood pressure, and/or improve other physiological characteristics. The system includes a posture sensor, a sensory stimulator, a controller, and/or other components. The system is configured to generate information related to a posture of the user, determine whether the posture of the user has breached a posture threshold, provide vibrations to the user to prompt the user to change posture, and lead the user through a paced breathing exercise to help the user fall asleep.

System and method for providing sleep positional therapy and paced breathing

An apparatus and method for detecting undiagnosed sleep disordered breathing uses daytime sleepiness and nighttime Obstructive Sleep Apnea (OSA) severity. This involves detecting people with excessive daytime sleepiness (and high likelihood of falling asleep during the day) caused by OSA through objective and subjective daytime and nighttime monitoring. Screening is provided for those who are most likely to be suffering a daytime impact of their sleep apnea and thus most likely to respond positively to a potential diagnosis, and notifying these people is also provided.

Detecting undiagnosed sleep disordered breathing using daytime sleepiness and nighttime obstructive sleep apnea (OSA) severity

An apparatus and method for employing data from the person and from the environment where the person is situated facilitate the detection and prediction of severity of high altitude-induced Sleep Disordered Breathing (SDB, and specifically Central Sleep Apnea (CSA)). Longitudinal tracking of local barometric pressure and severity of SDB symptoms (objective or subjective or both) allow for prediction of occurrence of SDB (per altitude). Some of all of the data can be obtained from one or more wearable devices that may be worn by the person. Additionally, personalized mapping for dosing of medication (e.g. acetazolamide, low-flow oxygen therapy) to treat high altitude-induced SDB are provided, with recommended dosing provided to the person per altitude.

System and method to monitor and titrate treatment for high altitude-induced central sleep apnea (CSA)

The present disclosure pertains to a system and method for providing mandibular advancement and sleep positional therapy to a user for a sleep session. The system is formed by a mandibular advancement device for treating obstructive sleep disordered breathing (e.g., obstructive sleep apnea and snoring) that includes an electronics module configured to aid in sleep positional training. The present system and method facilitate advancing a lower jaw of the user into a protruding position relative to an upper jaw of the user to increase a size of an airway of the user, determining whether a posture of the user has breached a posture threshold, and, responsive to a breach, prompting the user to change posture such that the posture of the user no longer breaches the posture threshold.

System and method for providing mandibular advancement and sleep positional therapy

System and method for providing enhanced PAP metrics

A pressure support device for providing pressure support therapy to a patient includes an airflow generator structured to generate pressure to provide pressure compensation to the patient via a patient circuit, one or more sensors structured to gather data related to effectiveness of the pressure compensation, and a processing unit structured to analyze outputs of the sensors while pressure support therapy is provided to the patient to determine if the pressure compensation provided to the patient is improper and to initiate action to confirm whether components of the patient circuit have been changed in response to determining that the pressure compensation provided to the patient is improper.

Pressure support device and method of determining changes in a patient circuit

A pressure support device () for providing pressure support therapy to a patient includes a pressure generating system () structured to generate pressure to provide pressure compensation to the patient via a patient circuit (), one or more sensors () structured to gather data indicative of disordered breathing events of the patient, and a processing unit () structured to control the pressure generating system to provide a pressure compensation regimen to the patient; to analyze outputs of the one or more sensors while pressure support therapy is provided to the patient to determine if the pressure compensation regimen provided to the patient is effective to relieve one or more disordered breathing events, and to output an alert if it is determined that the pressure compensation regimen provided to the patient is not effective in relieving the one or more disordered breathing events.

Pressure support device and method of providing an alert for non-effective pressure compensation regimen

Continuity of therapy associated with a respiratory treatment device may be measured. Information relating to therapy administered via the respiratory treatment device to a subject during a therapy session may be received. Based on the received information, a quantity of therapy interruption events that occurred during the therapy session may be determined. A continuity indicator may be determined based on the quantity of therapy interruption events that occurred during the therapy session. The continuity indicator is indicative of continuity of therapy associated with the respiratory treatment device during the therapy session.

Measuring continuity of therapy associated with a respiratory treatment device

Sleep apnea can be treated with pressure support therapy using a target pressure level. Detected respiratory events during consecutive multi-session testing period are compared to determine statistical metrics covering gradual changes in therapy efficiency. Adjustments to the target pressure level are based on changes in variability, and maybe made in between therapy sessions.

Pressure adjustment in a respiratory therapy device

Systems and methods for providing respiratory therapy to a subject respond and/or adapt to the detection of an occurrence of a respiratory event. For example, the pressure level of a pressurized flow of breathable gas may be increased responsive to the occurrence of one or more apneas. Based on usage information spanning more than one therapy session, such as the tracked pressure levels, a starting pressure level for a pressurized flow of breathable gas for a subsequent therapy session is determined. The starting level at the beginning of the subsequent therapy session(s) may be the 90% pressure level as determined during the preceding period during which usage information has been gathered.

Starting pressure for respiratory therapy devices

A method of detecting dyssynchrony between a patient and a pressure support system includes receiving patient flow data relating to a flow of gas provided to the patient by the pressure support system, receiving an I/E state signal representing a respiratory phase of the patient as determined by the pressure support system, and analyzing the patient flow data and the I/E state signal and declaring a dyssynchrony for a breath based on at least one of the patient flow data and the I/E state signal. The method includes determining whether at least one of a number of predetermined criterion is satisfied based on at least one of the patient flow data and the I/E state signal, and declaring the dyssynchrony for the breath if it is determined that at least one of the number of predetermined criterion is satisfied.

Patient-ventilator dyssynchrony detection

A monitoring system is used to measure various parameters of the sleep, respiration, and/or other bodily functions of a subject. One or more metrics are calculated that quantify deviation from the mean, trends, changes over time, and/or other changes in the parameters. The metrics are used to generate notifications of these changes that can be conveyed to caregivers and/or other users.

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Pittsburgh, PA, United States of America

Benjamin Irwin Shelly