Patent · US Active

Deep neural network (DNN) assisted sensor for energy-efficient electrocardiogram (ECG) monitoring

US12347557B2 · kind B2 · utility

0Cited by
2References
6Claims
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Inventors

Key dates

Filing dateDec 1, 2020
Grant dateJul 1, 2025
Priority date—
Expiry dateOct 10, 2041

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06N3/048
  • WIPO fieldMedical technology
  • WIPO sectorInstruments

Abstract

The present invention is directed to an energy-efficient method of monitoring a physiological signal while maintaining high accuracy. The method may comprise a Deep Neural Network (DNN) receiving an uncompressed sample of a continuous ECG signal from a sensor. The method may further comprise the DNN determining a first probability that the received sample is abnormal and a second probability that the received sample is normal. Finally, the method may further comprise the DNN determining to transmit the uncompressed sample if a threshold of abnormality is less than or equal to the difference between the first probability and the second probability. In some embodiments, the DNN may be a Convolutional Neural Network (CNN).

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.