20240050014. METHOD TO DETECT NOISE IN A WEARABLE CARDIOVERTER DEFIBRILLATOR simplified abstract (WEST AFFUM HOLDINGS DAC)

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METHOD TO DETECT NOISE IN A WEARABLE CARDIOVERTER DEFIBRILLATOR

Organization Name

WEST AFFUM HOLDINGS DAC

Inventor(s)

JAEHO Kim of REDMOND WA (US)

METHOD TO DETECT NOISE IN A WEARABLE CARDIOVERTER DEFIBRILLATOR - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240050014 titled 'METHOD TO DETECT NOISE IN A WEARABLE CARDIOVERTER DEFIBRILLATOR

Simplified Explanation

The abstract describes a method for detecting noise levels in electrocardiogram (ECG) signals. Here is a simplified explanation of the patent application:

  • The method involves connecting at least three sensing electrodes to the body and obtaining a signal from each electrode.
  • At least three channels are defined between the electrodes to analyze the signals.
  • A morphological similarity value is calculated based on the obtained signals from each electrode.
  • The noise level is determined based on the calculated morphological similarity value.

Potential applications of this technology:

  • Medical diagnosis: The method can be used in medical settings to detect noise levels in ECG signals, which can help in diagnosing heart conditions accurately.
  • Wearable devices: The technology can be integrated into wearable ECG monitoring devices, providing real-time noise level detection for individuals monitoring their heart health.

Problems solved by this technology:

  • Accurate diagnosis: By detecting and quantifying noise levels in ECG signals, this method can help eliminate false readings and improve the accuracy of heart condition diagnosis.
  • Signal quality assessment: The technology allows for the assessment of signal quality, enabling healthcare professionals to identify and address issues that may affect the reliability of ECG measurements.

Benefits of this technology:

  • Improved patient care: By providing more accurate ECG readings, healthcare professionals can make better-informed decisions regarding patient care and treatment.
  • Enhanced monitoring: Wearable devices equipped with this technology can offer individuals a reliable and convenient way to monitor their heart health, leading to early detection of potential issues.
  • Cost-effective: The method offers a cost-effective solution for assessing noise levels in ECG signals, reducing the need for expensive equipment or complex procedures.


Original Abstract Submitted

in one embodiment, a method to detect noise levels in electrocardiogram (ecg) signals is described. the method includes connecting to at least three sensing electrodes and obtaining a signal from each of the at least three sensing electrodes. the method also includes defining at least three channels between the at least three electrodes. the method includes calculating a morphological similarity value of at least one combination of the at least three channels based at least in part on the obtained signal from each of the at least three sensing electrodes and determining a noise level based at least in part on the calculated morphological similarity value.

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