What is the clinical evidence from this study?

Study design: Other. Population: Heart failure and cardiac resynchronization therapy (CRT) (n=58). Intervention: Automated QRS complex detection and measurement algorithms vs. Expert cohort manual analysis. Primary outcome: Absolute global QRS duration error (p=<0.01).

January 1, 2018IEEE Journal of Translational Engineering in Health and MedicineOpen Access

The automated QRS complex detection and measurement algorithms achieved ≥96% sensitivity and positive predictivity, with an absolute global QRS duration error of 12 ms compared to expert manual measurement.

Q: What are the key findings of this study?

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Why the study?

Does an automated QRS detection algorithm accurately measure QRS duration in multichannel ECGs of CRT patients compared to expert analysis?

Population

58 heart failure and cardiac resynchronization therapy (CRT) patients with abnormal conduction and pacing

Comparison

Automated QRS complex detection and QRS duration… vs Expert cohort analysis of the same data

Design

Other

Key result

The automated QRS complex detection and measurement algorithms achieved ≥96% sensitivity and positive predictivity, with an absolute global QRS duration error of 12 ms compared to expert manual measurement.

Authors

ACAntonia E. Curtin KBKevin V. Burns ABAlan J. Bank

Discussion

Member takes

Overview

May aid MECG analysis in CRT patients; leaves open routine adoption pending validation.

Structured PICO

Does an automated QRS detection algorithm accurately measure QRS duration in multichannel ECGs of CRT patients compared to expert analysis?

Population

58 patients with advanced systolic heart failure and new cardiac resynchronization therapy implants whose multichannel ECGs were used to validate automated QRS detection and measurement algorithms.

Intervention

Automated QRS complex detection and QRS duration measurement algorithms applied to multichannel ECGs (MECGs) acquired with a custom 53-electrode investigational body surface mapping system

Comparator

Expert cohort analysis of the same data (manual measurement)

Outcome

Algorithm accuracy and error (positive predictivity, sensitivity, and absolute QRS duration error)surrogate

Main Result

p-value: p=<0.01

A novel automated algorithm for multichannel ECGs accurately detects QRS complexes and measures QRS duration in CRT patients, performing comparably to or better than expert manual measurement.

Limitations

Algorithms were developed and validated using a single investigational body surface mapping system (ECG Belt) and not validated in other MECG systems.
The QRS complex detection algorithm is designed for dichotomized, not multi-class, heart beat classification.

Cite This Study

Curtin et al. (2018) studied Heart failure and cardiac resynchronization therapy (CRT) (n=58). Automated QRS complex detection and measurement algorithms vs. Expert cohort manual analysis was evaluated on Absolute global QRS duration error (p=<0.01). The automated QRS complex detection and measurement algorithms achieved ≥96% sensitivity and positive predictivity, with an absolute global QRS duration error of 12 ms compared to expert manual measurement.

synapsesocial.com/papers/6a6af3231e51ef7293b3aaff https://doi.org/10.1109/jtehm.2018.2844195

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January 1, 2018IEEE Journal of Translational Engineering in Health and MedicineOpen Access

The automated QRS complex detection and measurement algorithms achieved ≥96% sensitivity and positive predictivity, with an absolute global QRS duration error of 12 ms compared to expert manual measurement.

View Full Paper

Ask AI

Bookmark

Why the study?

Does an automated QRS detection algorithm accurately measure QRS duration in multichannel ECGs of CRT patients compared to expert analysis?

Population

58 heart failure and cardiac resynchronization therapy (CRT) patients with abnormal conduction and pacing

Comparison

Automated QRS complex detection and QRS duration… vs Expert cohort analysis of the same data

Design

Other

Key result

Authors

ACAntonia E. Curtin KBKevin V. Burns ABAlan J. Bank

Discussion

Member takes

Overview

May aid MECG analysis in CRT patients; leaves open routine adoption pending validation.

Structured PICO

Does an automated QRS detection algorithm accurately measure QRS duration in multichannel ECGs of CRT patients compared to expert analysis?

Population

58 patients with advanced systolic heart failure and new cardiac resynchronization therapy implants whose multichannel ECGs were used to validate automated QRS detection and measurement algorithms.

Intervention

Automated QRS complex detection and QRS duration measurement algorithms applied to multichannel ECGs (MECGs) acquired with a custom 53-electrode investigational body surface mapping system

Comparator

Expert cohort analysis of the same data (manual measurement)

Outcome

Algorithm accuracy and error (positive predictivity, sensitivity, and absolute QRS duration error)surrogate

Main Result

p-value: p=<0.01

A novel automated algorithm for multichannel ECGs accurately detects QRS complexes and measures QRS duration in CRT patients, performing comparably to or better than expert manual measurement.

Limitations

Algorithms were developed and validated using a single investigational body surface mapping system (ECG Belt) and not validated in other MECG systems.
The QRS complex detection algorithm is designed for dichotomized, not multi-class, heart beat classification.

Cite This Study

synapsesocial.com/papers/6a6af3231e51ef7293b3aaff https://doi.org/10.1109/jtehm.2018.2844195

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

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