Wearable Defibrillator ECG Signal Aggregation and Noise Filtering

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Solution Overview

Problem

Wearable cardiac defibrillator systems face challenges in accurately determining whether to deliver a shock due to noise in ECG signals, especially with dry, non-adhesive electrodes, which can lead to incorrect rhythm analysis and potential inappropriate shocks.

Innovation Solution

The system includes a processor that discards noisy ECG signals based on reliability criteria, such as mathematical correlations and noise levels, to make a shock/no shock determination from the most reliable signals, and combines multiple signals to make an aggregate decision, ensuring better accuracy in determining the need for a shock.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If multiple ECG signals are used for shock determination, then measurement precision improves, but device complexity increases

Engineering Contradiction:
Improveshock determination accuracyVSAvoidsignal processing complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent divides the ECG monitoring system into multiple independent signal channels, each captured by separate electrodes. The processor segments the analysis by evaluating each channel independently against noise criteria before combining results, which improves measurement precision through diversity while managing complexity through modular processing

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent merges multiple ECG signals into an aggregate shock determination by combining results from individual signal assessments. The processor integrates information from multiple channels using logical operations (e.g., requiring agreement from multiple signals), thereby improving determination accuracy while maintaining manageable complexity through systematic combination rules

Inventive Principle:
Principle #5Merging (Combining)

2Measurement precision

If noisy ECG signals are discarded, then measurement precision improves, but loss of information increases

Engineering Contradiction:
Improvesignal reliabilityVSAvoidECG signal data
Core Design Contradiction:
Measurement precisionVSLoss of information

Solution Approach 1:

The patent applies local quality assessment by evaluating each ECG signal channel individually against noise criteria. Instead of uniformly accepting or rejecting all signals, the system selectively discards only those specific channels that fail reliability thresholds, preserving useful information from other channels while eliminating noisy data

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent implements a selective discarding mechanism where noisy signals are temporarily rejected for the specific shock determination decision, but the system maintains the capability to use discarded signals for other purposes such as trend monitoring, alarm generation, or future analysis when noise conditions improve, thus minimizing permanent information loss

Inventive Principle:
Principle #34Discarding and recovering

Data Source

PatentUS9757581B2Wearable cardioverter defibrillator components making aggregate shock/no shock determination from two or more ECG signals
Publication Date: 2017.09.12 WEST AFFUM HLDG DAC
  • US9757581B2 patent drawing
  • US9757581B2 patent drawing
  • US9757581B2 patent drawing

AI summary

Components of wearable cardiac defibrillator (WCD) systems, software, and methods are provided. A WCD system includes a support structure that a patient can wear and electrodes that can capture at least two of the patient's ECG signals. A component includes an energy storage module that can store an electrical charge, a discharge circuit, and a processor that can make a shock/no shock determination, and cause the discharge circuit to discharge the stored charge, if the determination is to shock. In some embodiments, the processor discards at least one of the ECG signals prior to making the shock/no shock determination. The determination can be made from the remaining one or more ECG signals. In some embodiments, the processor makes an aggregate shock/no shock determination from two or more of the ECG signals.