Systems and methods for automatically classifying wide complex tachycardias (wcts)
US-2024423549-A1 · Dec 26, 2024 · US
US9901299B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9901299-B2 |
| Application number | US-201415102588-A |
| Country | US |
| Kind code | B2 |
| Filing date | Dec 9, 2014 |
| Priority date | Dec 9, 2013 |
| Publication date | Feb 27, 2018 |
| Grant date | Feb 27, 2018 |
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A system for assisted coughing includes a first sensor for measuring a parameter which can indicate a closed glottis and producing a first signal, a processor for receiving the first signal, determining a state indicating the closed glottis and generating an instruction for a Functional Electric Stimulation (FES) controller based, at least in part, on the determining, and a FES controller for generating an electric stimulation signal.
Opening claim text (preview).
What is claimed is: 1. A system for assisted coughing comprising: a first air flow sensor configured for sensing a patient's air flow, for measuring a parameter which indicates a closed glottis and producing a first signal; a processor and associated memory for receiving the first signal, determining a state indicating the closed glottis and generating an instruction for Functional Electric Stimulation (FES) based, at least in part, on the determining; and a FES controller for generating an electric stimulation signal based on the instruction; wherein the processor determines a specific point in time associated with the indication of the closed glottis based, at least in part, on detecting a start of a plateau in the first signal. 2. The system of claim 1 in which the processor is further configured for detecting a command input, and to attempt to determine a state indicating closed glottis following the command input. 3. The system of claim 1 in which the first sensor comprises a nasal air sensor configured for sensing the patient's nasal air flow. 4. The system of claim 1 and further comprising a sensor configured to accept a command input. 5. The system of claim 4 in which the sensor configured to accept the command input comprises at least one patient command sensor selected from a group comprising: the first air flow sensor configured for sensing the patient's nasal air flow: an eye blink sensor; a microphone; an electromyography (EMG) electrode configured for sensing the patient's EMG activity of the neck muscles; a chest belt for monitoring respiration; and an electrophysiological sensor for sensing abdominal muscles. 6. A method of assisted coughing comprising: analyzing a first signal from an air flow sensor configured to sense a patients air flow; determining when a patient's glottis is closed based, at least in part, on the analysis; and producing Functional Electric Stimulation (FES) based, at least in part, on the determining; wherein the determining that the patient's glottis is closed is based, at least in part, on determining a specific point in time associated with a start of a plateau in the signal from the air flow sensor. 7. The method of claim 6 in which the determining when the patient's glottis is closed based, at least in part, on analyzing a nasal air signal from the patient's air flow sensor. 8. The method of claim 6 wherein the determining when the patient's glottis is closed is based, at least in part, on determining a slope in the first signal followed by determining a start of a plateau in the first signal, the plateau lasting at least 50 milliseconds. 9. The method of claim 8 and wherein: a negative slope is fitted to a straight line having a slope α; and the plateau is fitted to a straight line having a slope β; a value of α is below a threshold Tα; and a value of β is below a threshold Tβ. 10. The method of claim 9 wherein α and β are calculated as follows: β ^ = ∑ i = 1 n ( x i - x _ ) ( y i - y _ ) ∑ i = 1 n ( x i - x _ ) 2 = ∑ i = 1 n x i y i - 1 n ∑ i = 1 n x i ∑ j = 1 n
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using physiological parameters for adjustment · CPC title
specified by the stimulation parameters · CPC title
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