Systems and methods for monitoring cough
First Claim
1. A computer-implemented method for monitoring cough in a subject comprising:
- monitoring data comprising tidal volume data and sound data with a monitoring device responsive to said subject;
processing said monitored tidal volume (VT) data in order to recognize a respiratory event when a peak-to-peak amplitude of a breath exceeds a threshold;
processing said monitored sound data in order to recognize a sound event when a sound envelope exceeds a threshold;
processing each recognized event respiratory to determine if it temporally overlaps a sound event and further to determine if it has an expiration-inspiration pattern characteristic of a cough; and
selecting as a cough event each respiratory event that overlaps a sound event and that has said characteristic expiration-inspiration pattern.
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Accused Products
Abstract
The present invention provides systems and methods for monitoring subjects, especially during sleep. Respiratory and sound data are recorded and coughs arousal are recognized as joint events in both of these signals having selected characteristics. Further, cough-arousal events during sleep are recognized when a likely cough occurs in association with a recognized EEG arousal. Cough arousal events are combined into a cough arousal index that reflects disease severity and sleep disruption due to cough. The methods of this invention are computer-implemented and can be provided as a program product including a computer readable medium. Measurements and indices provided by this invention can be used to monitor and to treat respiratory diseases.
82 Citations
45 Claims
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1. A computer-implemented method for monitoring cough in a subject comprising:
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monitoring data comprising tidal volume data and sound data with a monitoring device responsive to said subject; processing said monitored tidal volume (VT) data in order to recognize a respiratory event when a peak-to-peak amplitude of a breath exceeds a threshold; processing said monitored sound data in order to recognize a sound event when a sound envelope exceeds a threshold; processing each recognized event respiratory to determine if it temporally overlaps a sound event and further to determine if it has an expiration-inspiration pattern characteristic of a cough; and selecting as a cough event each respiratory event that overlaps a sound event and that has said characteristic expiration-inspiration pattern. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 41, 42, 43)
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19. A computer-implemented method for monitoring a subject during sleep comprising:
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monitoring data comprising tidal volume data, sound data, and EEG data with a monitoring device responsive to said subject; processing said monitored respiratory data and sound data in order to recognize cough events; processing said monitored EEG data in order to recognize transient arousal events; and detecting a cough-arousal (CA) event when a recognized cough event occurs in association with a recognized EEG arousal event. - View Dependent Claims (20, 21, 22, 23, 24, 25, 26, 27, 28)
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29. A computer-implemented method for monitoring cough in a subject comprising:
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monitoring data comprising tidal volume data, sound data, and EEG data with a monitoring device responsive to said subject; processing said monitored tidal volume (VT) data in order to recognize a respiratory event when a breath has a peak-to-peak amplitude that exceeds a threshold and has an expiration-inspiration pattern characteristic of a cough; processing said monitored sound data in order to recognize a sound event when a sound envelope exceeds a threshold; recognizing a respiratory event as a cough event if said respiratory event temporally overlaps a sound event; and processing each cough event to determine a ratio of the depth of said cough event to a mean expiratory volume during a period of quiet breathing. - View Dependent Claims (30, 31, 32, 33, 34)
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35. A system for monitoring a subject during sleep comprising:
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a monitoring garment comprising sensors providing respiratory signals, sound signals, and EEG signals from said subject; and a computer system comprising a computer-readable memory comprising encoded instructions for receiving said sensor signals; processing said respiratory signals and said sound signals in order to recognize cough events; processing said EEG signals in order to recognize transient arousal events; detecting a cough-arousal (CA) event when a recognized cough event occurs in association with a recognized EEG arousal event; and determining a CA index (CAI) for a plurality of selected time periods as the number of CA events during said selected period of time. - View Dependent Claims (36, 37, 38, 39, 40)
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44. A method for monitoring a subject during sleep comprising:
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Monitoring data comprising tidal volume data, sound data, and EEG data with a monitoring device responsive to said subject; and Transmitting said monitored data to a computer for Processing said respiratory signals and said sound signals in order to recognize cough events; Processing said EEG signals in order to recognize transient arousal events; Detecting a cough-arousal (CA) event when a recognized cough event occurs in association with a recognized EEG arousal event; and Determining a CA index (CAI) for a plurality of selected time periods as the number of CA events during said selected period of time.
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45. A method for monitoring cough in a subject, comprising:
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Monitoring data comprising tidal volume data and sound data with a monitoring device responsive to said subject; and Transmitting said monitored data to a computer for Processing said volume (VT) data in order to recognize a respiratory event when a peak-to-peak amplitude of a breath exceeds a threshold; Processing said sound data in order to recognize a sound event when a sound envelope exceeds a threshold; Processing each recognized respiratory event to determine if it temporally overlaps a sound event and further to determine if it has an expiration-inspiration pattern characteristic of a cough; and Selecting as a cough event each respiratory event that overlaps a sound event and has said characteristic expiration-inspiration pattern.
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Specification