Abstract: Apparatuses and methods for detecting sleep apnea and classifying the events as obstructive sleep apnea (OSA) and/or central sleep apnea (CSA) are disclosed herein. The apparatuses can include respiratory treatment devices that have an auto adjusting algorithm that is able to classify a sleep apnea as CSA or OSA so that an appropriate pressure can be applied to the patient depending on the type of sleep apnea detected. The apparatuses and methods can use characteristics of at least one breath preceding the apnea event in classifying the event.

Abstract: Apparatuses and methods for detecting sleep apnea and classifying the events as obstructive sleep apnea (OSA) and/or central sleep apnea (CSA) are disclosed herein. The apparatuses can include respiratory treatment devices that have an auto adjusting algorithm that is able to classify a sleep apnea as CSA or OSA so that an appropriate pressure can be applied to the patient depending on the type of sleep apnea detected. The apparatuses and methods can use characteristics of at least one breath preceding the apnea event in classifying the event.

Abstract: A respiratory event determination system can have a controller that determines the presence of a respiratory event. The respiratory event can be a mouth puff event. The controller determines the presence as a function of a sub-window of an expiratory window of the breath. The expiratory window extends between a first time t1 and a second time t2. The sub-window is limited to a portion of the expiratory window. The sub-window can extend between a third time t3 and a fourth time ta. The fourth time ta can be before the second time t2.

Abstract: A respiratory event determination system can have a controller that determines the presence of a respiratory event. The respiratory event can be a mouth puff event. The controller determines the presence as a function of a sub-window of an expiratory window of the breath. The expiratory window extends between a first time t1 and a second time t2. The sub-window is limited to a portion of the expiratory window. The sub-window can extend between a third time t3 and a fourth time t4. The fourth time t4 can be before the second time t2.

Abstract: Apparatuses and methods for detecting sleep apnea and classifying the events as obstructive sleep apnea (OSA) and/or central sleep apnea (CSA) are disclosed herein. The apparatuses can include respiratory treatment devices that have an auto adjusting algorithm that is able to classify a sleep apnea as CSA or OSA so that an appropriate pressure can be applied to the patient depending on the type of sleep apnea detected. The apparatuses and methods can use characteristics of at least one breath preceding the apnea event in classifying the event.

Abstract: A respiratory event determination system can have a controller that determines the presence of a respiratory event. The respiratory event can be a mouth puff event. The controller determines the presence as a function of a sub-window of an expiratory window of the breath. The expiratory window extends between a first time t1 and a second time t2. The sub-window is limited to a portion of the expiratory window. The sub-window can extend between a third time t3 and a fourth time t4. The fourth time t4 can be before the second time t2.

Abstract: Apparatuses and methods for detecting sleep apnea and classifying the events as obstructive sleep apnea (OSA) and/or central sleep apnea (CSA) are disclosed herein. The apparatuses can include respiratory treatment devices that have an auto adjusting algorithm that is able to classify a sleep apnea as CSA or OSA so that an appropriate pressure can be applied to the patient depending on the type of sleep apnea detected. The apparatuses and methods can use characteristics of at least one breath preceding the apnea event in classifying the event.

Abstract: A respiratory event determination system can have a controller that determines the presence of a respiratory event. The respiratory event can be a mouth puff event. The controller determines the presence as a function of a sub-window of an expiratory window of the breath. The expiratory window extends between a first time ti and a second time t2. The sub-window is limited to a portion of the expiratory window. The sub-window can extend between a third time t3 and a fourth time I4. The fourth time U can be before the second time t2.

Abstract: Apparatuses and methods for detecting sleep apnea and classifying the events as obstructive sleep apnea (OSA) and/or central sleep apnea (CSA) are disclosed herein. The apparatuses can include respiratory treatment devices that have an auto adjusting algorithm that is able to classify a sleep apnea as CSA or OSA so that an appropriate pressure can be applied to the patient depending on the type of sleep apnea detected. The apparatuses and methods can use characteristics of at least one breath preceding the apnea event in classifying the event.

Abstract: Apparatuses and methods for detecting sleep apnea and classifying the events as obstructive sleep apnea (OSA) and/or central sleep apnea (CSA) are disclosed herein. The apparatuses can include respiratory treatment devices that have an auto adjusting algorithm that is able to classify a sleep apnea as CSA or OSA so that an appropriate pressure can be applied to the patient depending on the type of sleep apnea detected. The apparatuses and methods can use characteristics of at least one breath preceding the apnea event in classifying the event.

Abstract: A respiratory event determination system can have a controller that determines the presence of a respiratory event. The respiratory event can be a mouth puff event. The controller determines the presence as a function of a sub-window of an expiratory window of the breath. The expiratory window extends between a first time ti and a second time t2. The sub-window is limited to a portion of the expiratory window. The sub-window can extend between a third time t3 and a fourth time I4. The fourth time U can be before the second time t2.

Abstract: Apparatuses and methods for detecting sleep apnea and classifying the events as obstructive sleep apnea (OSA) and/or central sleep apnea (CSA) are disclosed herein. The apparatuses can include respiratory treatment devices that have an auto adjusting algorithm that is able to classify a sleep apnea as CSA or OSA so that an appropriate pressure can be applied to the patient depending on the type of sleep apnea detected. The apparatuses and methods can use characteristics of at least one breath preceding the apnea event in classifying the event.