Detection of sleep condition
Abstract
Automated devices provide methodologies for determining sleep conditions, which may be in conjunction with treatment of sleep disordered breathing by a pressure treatment apparatus such as a continuous positive airway pressure device. Based on a measure of respiratory airflow, respiratory characteristics are extracted to detect arousal conditions, sleep stability, sleep states and/or perform sleep quality assessments. The methodologies may be implemented for data analysis by a specific purpose computer, a monitoring device that measures a respiratory airflow and/or a respiratory treatment apparatus that provides a respiratory treatment regime based on the detected conditions.
Claims
exact text as granted — not AI-modified1 . A method for detecting sleep onset comprising:
determining a set of respiratory features from a measure of respiratory flow; thresholding the set of respiratory features; determining a sleep state score based on the thresholding, the sleep state score being indicative of a sleep state; and detecting sleep onset as a function of the thresholding and the determined sleep state score.
2 . The method of claim 1 wherein the set of respiratory features comprises a function of a determined expiratory peak flow location.
3 . The method of claim 2 wherein the function is a difference between (a) a ratio of the expiratory peak flow location and an expiratory time and (b) an average of a plurality of the ratios determined over a number of breaths.
4 . The method of claim 1 , wherein the thresholding attributes a sleep state weight output for each of the set of respiratory features for each of a plurality of sleep states.
5 . The method of claim 4 , wherein the plurality of sleep states includes an awake state and a sleep state.
6 . The method of claim 5 , wherein the plurality of sleep states includes a non-REM sleep state and a REM sleep state.
7 . The method of claim 4 , wherein the sleep state output weights are determined empirically from a group of measured respiratory data from a number of patients or from a single patient.
8 . The method of claim 4 , further including combining the sleep state weight outputs of one or more of the set of respiratory features in patterns to calculate pattern weights.
9 . The method of claim 8 , further comprising biasing the pattern weights with biasing factors in the calculation of the pattern weights.
10 . The method of claim 9 , wherein the biasing factors are based on one or more characteristics of a patient.
11 . The method of claim 8 , wherein the sleep state score is determined based on the calculated pattern weights for each sleep state.
12 . The method of claim 11 , wherein sleep onset is determined when the sleep state score indicates a transition from an awake state to a sleep state has occurred.
13 . The method of claim 1 further comprising, based on the detecting, outputting a sleep onset index representing a transition into a first sleep period for a treatment session.
14 . The method of claim 13 , wherein the sleep onset index is a binary switch that is preset to 0 at the beginning of the treatment session and transitions to 1 when the first sleep period is detected.
15 . A device to detect sleep onset comprising:
a processor configured to determine a set of respiratory features from a measure of respiratory flow; wherein the processor is further configured to threshold the set of respiratory features, determine a sleep state store based on the thresholding and detect a sleep onset state based on the thresholding and the determined sleep state score.
16 . The device of claim 15 wherein the set of respiratory features comprises a function of a determined expiratory peak flow location.
17 . The device of claim 16 wherein the function is a difference between (a) a ratio of the expiratory peak flow location and an expiratory time and (b) an average of a plurality of the ratios determined over a number of breaths.
18 . The device of claim 15 , wherein the thresholding attributes a sleep state weight output for each of the set of respiratory features for each of a plurality of sleep states.
19 . The device of claim 18 , wherein the plurality of sleep states includes an awake state and a sleep state.
20 . The device of claim 18 , wherein the plurality of sleep states includes a non-REM sleep state and a REM sleep state.
21 . The device of claim 18 , wherein the sleep state output weights are determined empirically from a group of measured respiratory data from a number of patients or from a single patient.
22 . The device of claim 18 , wherein the sleep state weight outputs of one or more of the set of respiratory features are combined in patterns to calculate pattern weights.
23 . The device of claim 22 , wherein the calculation of the pattern weights includes biasing factors.
24 . The device of claim 23 , wherein the biasing factors are based on one or more characteristics of a patient.
25 . The device of claim 22 , wherein the sleep state score is determined based on the calculated pattern weights for each sleep state.
26 . The device of claim 25 , wherein sleep onset is determined when the sleep state score indicates a transition from an awake state to a sleep state has occurred.
27 . The device of claim 15 wherein the processor is further configured, based on the detecting, to output a sleep onset index representing a transition into a first sleep period for a treatment session.
28 . The device of claim 27 , wherein the sleep onset index is a binary switch that is preset to 0 at the beginning of the treatment session and transitions to 1 when the first sleep period is detected.
29 . The device of claim 15 , wherein the processor is further configured to control a respiratory pressure treatment regime based on the detected sleep onset state.
30 . The device of claim 29 , wherein the respiratory pressure treatment regime includes an expiratory pressure relief mode configured to deliver a reduced treatment pressure during an expiratory phase of a breathing cycle compared to the treatment pressure delivered during an inspiratory phase of the breathing cycle.
31 . The device of claim 30 , wherein the processor is configured to disengage the expiratory pressure relief mode after sleep onset is detected.
32 . The device of claim 31 , wherein the processor is configured to gradually disengage the expiratory pressure relief mode by gradually ramping down an amount of reduction of treatment pressure delivered during the expiratory phase over a period of time.
33 . The device of claim 31 , wherein the processor is configured to gradually disengage the expiratory pressure relief mode by gradually ramping down an amount of reduction of treatment pressure delivered during the expiratory phase over a number of breathing cycles.
34 . The device of claim 31 , wherein the processor is configured to re-engage the expiratory pressure relief mode upon detection of a patient having returned to a subsequent awake state.
35 . The device of claim 34 , wherein the processor is configured to re-engage the expiratory pressure relief mode after the patient has been in the subsequent awake state for a period of time.
36 . The device of claim 34 , wherein the processor is configured to gradually re-engage the expiratory pressure relief mode by gradually increasing an amount of reduction of treatment pressure delivered during the expiratory phase over a period of time.
37 . The device of claim 34 , wherein the processor is configured to gradually re-engage the expiratory pressure relief mode by gradually increasing an amount of reduction of treatment pressure delivered during the expiratory phase over a number of breathing cycles.Join the waitlist — get patent alerts
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