Abstract:
Disclosed herein is a method and device for apnea and hypopnea detection. In one embodiment, a method is provided for detecting apneas and hypopneas from a digitized breath sound recording acquired from a candidate suspected of sleep apnea. The method comprises scanning an amplitude profile of the digitized breath sound recording to identify a prospect event segment; evaluating characteristics of the prospect event segment for consistency with one or more preset apnea-specific criteria; classifying the prospect event segment as representative of an apnea upon it satisfying each of the one or more apnea-specific criteria; evaluating the prospect event characteristics for consistency with one or more preset hypopnea-specific criteria distinct from the apnea-specific criteria; and classifying the prospect event segment as representative of a hypopnea upon it satisfying each of the one or more hypopnea-specific criteria.
Abstract:
Disclosed herein is a mask to be worn by a subject on its face for use in respiratory monitoring and/or diagnostics. In general, the mask comprises at least one transducer responsive to sound and/or airflow for generating a data signal representative thereof, and a support structure shaped and configured to rest on the subject's face. In one embodiment, the support structure comprises two or more outwardly projecting limbs that, upon positioning the mask, converge into a transducer supporting portion for supporting the at least one transducer at a distance from a nose and mouth area of the subject's face, thereby allowing for monitoring via the at least one transducer of sound and/or airflow produced by the subject while breathing. Also described is a mask comprising a transducer responsive to airflow for generating a signal representative thereof and a support structure shaped and configured to rest on the subject's face and extend outwardly therefrom over a nose and mouth area thereof to provide a transducer supporting portion for supporting the transducer, upon positioning the mask, at a distance from a nose and mouth area of the subject's face and at a preset orientation in relation thereto, thereby allowing for monitoring via the transducer of airflow produced by the subject while breathing. A method is also disclosed for remotely diagnosing a breathing disorder of a subject, as well as a method for monitoring, identifying and/or determining characteristics of an individual's breathing, including breathing phases thereof, using a processed acoustic signal data stream collected and/or recorded waveform data. In one example, the waveform data is collected from or is associated with breathing sounds and other sounds from one or more microphones or other sound wave collecting equivalents thereof.
Abstract:
Described herein are various embodiments of a method and system for sleep detection. For example, in one embodiment, a method is described for automatically characterizing digitized breath sounds recorded from a subject over time as indicative of the subject being one of asleep and awake. This method comprises identify individual breathing cycles in a given segment of the recorded breath sounds; calculating one or more preset breathing cycle characteristics from the identified breathing cycles; evaluating a relative regularity of the calculated characteristics for the given segment; and upon the relative regularity satisfying a preset high regularity condition, outputting a sleep status indicator that the subject was likely asleep during the segment, otherwise outputting a wake indicator that the subject was likely awake during the segment.
Abstract:
Disclosed herein are breathing disorder identification, characterization and diagnosis methods, devices and systems. In general the disclosed methods, devices and systems may rely on the characterization of breath sound amplitudes, periodic breath sounds and/or aperiodic breath sounds to characterize a breathing disorder as obstructive (e.g. obstructive sleep apnea - OSA) or non-obstructive (e.g. central sleep apnea - CSA).
Abstract:
Disclosed herein are breathing disorder identification, characterization and diagnosis methods, devices and systems. In general the disclosed methods, devices and systems may rely on the characterization of breath sound amplitudes, periodic breath sounds and/or aperiodic breath sounds to characterize a breathing disorder as obstructive (e.g. obstructive sleep apnea - OSA) or non-obstructive (e.g. central sleep apnea - CSA).
Abstract:
Disclosed herein is a method and device for apnea and hypopnea detection. In one embodiment, a method is provided for detecting apneas and hypopneas from a digitized breath sound recording acquired from a candidate suspected of sleep apnea. The method comprises scanning an amplitude profile of the digitized breath sound recording to identify a prospect event segment; evaluating characteristics of the prospect event segment for consistency with one or more preset apnea-specific criteria; classifying the prospect event segment as representative of an apnea upon it satisfying each of the one or more apnea-specific criteria; evaluating the prospect event characteristics for consistency with one or more preset hypopnea-specific criteria distinct from the apnea-specific criteria; and classifying the prospect event segment as representative of a hypopnea upon it satisfying each of the one or more hypopnea-specific criteria.
Abstract:
Disclosed herein is a mask to be worn by a subject on its face for use in respiratory monitoring, the mask comprising: at least one transducer responsive to sound and airflow for generating a data signal representative thereof; and a support structure shaped and configured to rest on the subject's face and thereby delineate a nose and mouth area thereof, and comprising two or more outwardly projecting limbs that, upon positioning the mask, converge into a transducer supporting portion for supporting said at least one transducer at a distance from said area, thereby allowing for monitoring via said at least one transducer of both sound and airflow produced by the subject while breathing.
Abstract:
Disclosed herein is a mask to be worn by a subject on its face for use in respiratory monitoring, the mask comprising: at least one transducer responsive to sound and airflow for generating a data signal representative thereof; and a support structure shaped and configured to rest on the subject's face and thereby delineate a nose and mouth area thereof, and comprising two or more outwardly projecting limbs that, upon positioning the mask, converge into a transducer supporting portion for supporting said at least one transducer at a distance from said area, thereby allowing for monitoring via said at least one transducer of both sound and airflow produced by the subject while breathing.