Hand-held apparatus for noninvasive measurement of a heart performance metric
US-12150742-B1 · Nov 26, 2024 · US
US2023218196A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2023218196-A1 |
| Application number | US-202117916121-A |
| Country | US |
| Kind code | A1 |
| Filing date | Mar 24, 2021 |
| Priority date | Apr 1, 2020 |
| Publication date | Jul 13, 2023 |
| Grant date | — |
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The invention provides a system and method for determining a respiratory effort for a subject. The method comprises obtaining a relaxed signal representing a subject breathing in a relaxed manner and a forced signal representing a subject breathing in a forced manner. The relaxed signal is then smoothed over a first averaging window and the forced signal is smoothed over a second averaging window, wherein the first averaging window is longer than the second averaging window. Based on the smoothed relaxed signal and the smoothed forced signal, a respiratory effort can thus be determined.
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1 . A system for determining a respiratory effort for a subject, the system comprising: a processor configured to: receive a relaxed signal representing a subject breathing in a relaxed manner; receive a forced signal representing a subject breathing in a forced manner; determine a smoothed relaxed signal based on smoothing the relaxed signal over a first averaging window; determine a smoothed forced signal based on smoothing the forced signal over a second averaging window, wherein the first averaging window is longer than the second averaging window; and determine a respiratory effort based on the smoothed relaxed signal and the smoothed forced signal. 2 . The system as claimed in claim 1 , further comprising at least two electrodes for obtaining at least one of the relaxed signal or the forced signal. 3 . The system as claimed in claim 1 , wherein the processor is further configured to: obtain a plurality of peak values from the smoothed relaxed signal; obtain a plurality of peak values from the smoothed forced signal; determine an average relaxed peak value based on calculating an average value of the plurality of peak values from the smoothed relaxed signal; determine a maximal forced value peak based on the maximal peak from the plurality of peak values from the smoothed forced signal; and determine the respiratory effort based on dividing the average relaxed peak value the maximal forced peak value. 4 . The system as claimed in claim 1 , wherein smoothing a signal comprises computing a moving root mean square or a moving mean absolute value. 5 . The system as claimed in claim 1 , further comprising a display, wherein the display is configured to display one or more of: the relaxed signal; the forced signal; the smoothed forced signal; the smoothed relaxed signal; or the respiratory effort. 6 . The system as claimed in claim 1 , further comprising a user input interface, wherein the user input interface is configured to receive from the user one or more of: the type of smoothing to be computed for the relaxed signal; the type of smoothing to be computed for the forced signal; the first averaging window duration; the second averaging window duration; or a type of filtering to be applied to one or more of the relaxed signal and the forced signal. 7 . A method for determining a respiratory effort for a subject, the method comprising: receiving, from at least two electrodes, a relaxed signal representing a subject breathing in a relaxed manner; receiving, from at least two electrodes, a forced signal representing a subject breathing in a forced manner; smoothing the relaxed signal over a first averaging window; smoothing the forced signal over a second averaging window, wherein the first averaging window is longer than the second averaging window; and determining a respiratory effort based on the smoothed relaxed signal and the smoothed forced signal. 8 . The method as claimed in claim 7 , wherein the first averaging window at least 0.2 seconds; and the second averaging window is at most 0.2 seconds. 9 . The method as claimed in claim 7 , further comprising obtaining the relaxed signal and/or the forced signal by the at least two electrodes placed on a subject. 10 . The method as claimed in claim 7 , wherein smoothing a signal comprises computing a moving root mean square or a mean absolute value. 11 . The method as claimed in claim 7 , wherein determining a respiratory effort comprises: obtaining a plurality of peak values from the smoothed relaxed signal; obtaining a plurality of peak values from the smoothed forced signal; determining an average relaxed peak value based on calculating an average of the plurality of peak values from the smoothed relaxed signal; determining a maximal forced value peak value based on the maximal peak from the plurality of peak values from the smoothed forced signal; and determining the respiratory effort based on dividing the average relaxed peak value by the maximal forced peak value. 12 . The method as claimed in claim 7 , further comprising receiving from the user one or more of: the type of smoothing to be computed for the relaxed signal; the type of smoothing to be computed for the forced signal; the first averaging window duration; the second averaging window duration; or a type of filtering to be applied to one or more of the relaxed signal and the forced signal. 13 . A non-transitory computer readable medium that stores therein a computer program product, which, when executed on a processor, causes the method as claimed in claim 7 to be performed.
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