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Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

Published on: April 11, 2025

A universal, high-performance ECG signal processing engine to reduce clinical burden.

Austin Gibbs¹, Matthew Fitzpatrick², Mark Lilburn²

¹The Allan Lab, Jersey General Hospital, Saint Helier, Jersey.

Annals of Noninvasive Electrocardiology : the Official Journal of the International Society for Holter and Noninvasive Electrocardiology, Inc

|July 29, 2022

Summary

The HeartKey algorithm shows strong performance in electrocardiogram (ECG) signal conditioning and QRS complex detection across diverse datasets. This universal solution maintains high accuracy with both wet and dry electrodes in various clinical and non-clinical settings.

Keywords:

ECG QRS detection artifact removal noise filtering signal conditioning signal processing

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Area of Science:

Biomedical Engineering
Signal Processing
Cardiology

Background:

Electrocardiogram (ECG) signal conditioning is crucial for accurate noise removal and feature extraction.
Effective ECG processing is vital for reliable diagnostic interpretation.

Purpose of the Study:

To evaluate the performance of the FDA 510(k) cleared HeartKey Signal Conditioning and QRS peak detection algorithms.
To assess algorithm efficacy across diverse ECG datasets, including public and proprietary sources.

Main Methods:

Processed 751 raw ECG files from various use cases through the HeartKey signal processing engine.
Utilized advanced filtering for noise reduction and QRS complex identification.
Generated QRS detection statistics against annotated ECG files.

Main Results:

Achieved high QRS detection accuracy (Se 98.90%, PPV 99.08%) on public databases (NSR, MIT-BIH, AHA, MIT-AF).
Demonstrated robust performance (Se 93.26%, PPV 90.53%) on the challenging NST database.
Showcased excellent performance with dry electrodes (Se 99.22%, PPV 99.00%) across eight databases, including motion-based recordings.

Conclusions:

HeartKey exhibits robust signal conditioning and QRS detection across a wide array of ECG signals.
The algorithm's consistent performance suggests it is a universal solution for diverse clinical and everyday applications without database-specific optimization.