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AI Biotech/Diagnostics: Cardio
Search All Applications in AI Biotech/Diagnostics: Cardio
Application US20180350468
Published 2018-12-06
Processing Physiological Electrical Data For Analyte Assessments
Among the techniques described herein is a method that includes obtaining data indicating electrocardiogram results from a human. A plurality of beats represented in the electrocardiogram results can be identified. For each beat in the plurality of beats represented in the electrocardiogram results, a value for a first feature of the beat can be determined. Statistical analysis can be performed on the values for the first feature of the plurality of beats. An indication of the level of the analyte within the human can be generated based on a result of the statistical analysis performed on the values for the first feature of the plurality of beats. The indication of the level of the analyte within the human can be provided.
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- 1.-54. (canceled)
- 55. An analyte level prediction apparatus comprising:
a memory; and a processor, operatively coupled to the memory, the processing device to:
obtain electrocardiogram (ECG) data of a subject;
enter the ECG data into a machine learning model;
predict, from the machine learning model, the level of the analyte of the subject; and
provide the predicted level of the analyte of the subject.
- 67. An analyte level prediction apparatus comprising:
a memory; and a processor, operatively coupled to the memory, the processing device to:
obtain electrocardiogram (ECG) data of a subject;
processing the ECG data to generate one or more features of the ECG data;
enter the one or more features into a statistical model;
predict, from the statistical model, the level of the analyte of the subject; and
provide the level of the analyte of the subject.
- 79. A computer-implemented method for assessing a level of an analyte, the method comprising:
obtaining electrocardiogram (ECG) data of a subject; entering the ECG data into a machine learning model; predicting, from the machine learning model, the level of the analyte of the subject; and providing the predicted level of the analyte of the subject.
