Systems and methods for identifying patient distress based on a sound signal
First Claim
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1. A method comprising:
- receiving a sound signal from a sensor that senses sound from a patient, the sound signal indicative of human non-speech vocalization;
computing, with processing equipment, one or more metrics based on the sound signal;
determining, with the processing equipment, a classification of the sound signal based on the one or more metrics and on a classifier, wherein the classifier is trained based on signal characteristics that correspond to patient distress;
determining, with the processing equipment, whether the sound signal corresponds to patient distress based on the classification; and
outputting an indication of patient distress when patient distress is determined to be present.
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Abstract
A sound signal from a patient may include information that may be used to determine multiple patient parameters. A patient monitor may determine respiration information such as respiration rate from the sound signal, for example based on modulations of the sound signal due to patient breathing. The patient monitor may also determine indications of patient distress based on a trained classifier, speech commands, or sound patterns.
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Citations
20 Claims
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1. A method comprising:
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receiving a sound signal from a sensor that senses sound from a patient, the sound signal indicative of human non-speech vocalization; computing, with processing equipment, one or more metrics based on the sound signal; determining, with the processing equipment, a classification of the sound signal based on the one or more metrics and on a classifier, wherein the classifier is trained based on signal characteristics that correspond to patient distress; determining, with the processing equipment, whether the sound signal corresponds to patient distress based on the classification; and outputting an indication of patient distress when patient distress is determined to be present. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A non-transitory computer-readable storage medium for processing a sound signal, the computer-readable medium having computer program instructions recorded thereon for:
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receiving a sound signal from a sensor that senses sound from a patient, the sound signal indicative of human non-speech vocalization; computing one or more metrics based on the sound signal; determining a classification of the sound signal based on the one or more metrics and on a classifier, wherein the classifier is trained based on signal characteristics that correspond to patient distress; determining whether the sound signal corresponds to patient distress based on the classification; and outputting an indication of patient distress when patient distress is determined to be present. - View Dependent Claims (9, 10, 11, 12, 13)
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14. A monitoring unit comprises processing equipment configured to:
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receive a sound signal from a sensor that senses sound from a patient, the sound signal indicative of human non-speech vocalization; compute one or more metrics based on the sound signal; determine a classification of the sound signal based on the one or more metrics and on a classifier, wherein the classifier is trained based on signal characteristics that correspond to patient distress; determine whether the sound signal corresponds to patient distress based on the classification; and output an indication of patient distress when patient distress is determined to be present. - View Dependent Claims (15, 16, 17, 18, 19, 20)
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Specification