Systems and methods for identifying patient distress based on a sound signal
AssigneeCovidien LP
InventorsJames Nicholas Watson, Paul Stanley Addison
Life of this patent
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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.
Claims20
A method comprising:
- receiving a sound signal from a sensor that senses sound from a patient;
- 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.
A non-transitory computer-readable storage medium for processing a sound signal, the computer-readable medium having computer program instructions recorded thereon for:
- receiving a sound signal from a sensor that senses sound from a patient;
- 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.
A monitoring unit comprises processing equipment configured to:
- receive a sound signal from a sensor that senses sound from a patient;
- 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.
Dependencies are inferred from the claim text.