The STAFF III Database: ECGs Recorded During Acutely Induced Myocardial Ischemia

Martínez, Juan Pablo; Pahlm, Olle; Ringborn, Michael; Warren, Stafford G.; Laguna, Pablo; Sörnmo, Leif

doi:10.22489/cinc.2017.266-133

Cited by 16 publications

(12 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We computed the R and δ on the STAFF-III dataset, freely available from PhysioNet [25]- [27], in which subjects underwent to PTCA using prolonged (4-min average) balloon inflations. The main reason behind the selection of this dataset was that it contained subjects in which TWA has been observed and quantified on the surface ECG [2].…”

Section: B Staff-iii Datasetmentioning

confidence: 99%

Spatial Correlation Between Myocyte's Repolarization Times and Their Alternans Drives T-Wave Alternans on the ECG

Rivolta

Martínez

Sassi

et al. 2022

IEEE J. Biomed. Health Inform.

Self Cite

View full text Add to dashboard Cite

Objective: T-wave alternans (TWA) manifests as beat-to-beat fluctuations of T-wave morphology on the electrocardiogram (ECG), with physiological bases not fully understood. Using a biophysical model of the ECG, we demonstrate and give explicit relations that TWA depends on the i) spatial covariance between myocytes' repolarization time and alternans; and ii) global alternans (common to every myocyte). Methods: We quantified the spatial covariance and global alternans by means of two new metrics, R index and δ, respectively. They were validated on both synthetic and real signals. Computerized simulations were generated using a biophysical model linking the action potentials with the surface ECG. Then, the metrics were computed in STAFF-III dataset, containing ECGs from patients who underwent coronary angioplasty with prolonged balloon inflations, and the time courses of the metrics were analyzed together with TWA measured on the surface ECG. Results: The metrics properly estimated the spatial covariance and global alternans in the synthetic data. In the STAFF-III dataset, the R index progressively increased from baseline to the fourth minute of inflation (median ∆R = 0.81 ms; p<0.05), whereas δ was mostly unaltered during the intervention ( δ = 0 ms). Conclusion: We reported, for the first time, that TWA is significantly driven by the myocyte's spatial covariance between their repolarization times and alternans, and not by global alternans, when TWA is generated by regional ischemia. Significance: The metrics may reveal new complementary insights into the mechanisms underlying TWA.

show abstract

Section: B Staff-iii Datasetmentioning

confidence: 99%

Spatial Correlation Between Myocyte's Repolarization Times and Their Alternans Drives T-Wave Alternans on the ECG

Rivolta

Martínez

Sassi

et al. 2022

IEEE J. Biomed. Health Inform.

Self Cite

View full text Add to dashboard Cite

show abstract

“…In this research, ECG-ID (ECGID), MIT-BIH Arrhythmia Database (MIT-BIH ECG), STAFF-III, and LT-AF [28][29][30][31] for ECG signals with QRS complex dataset, and AFDB [32], and AHA dataset [33] for ECG signals without the QRS complex from PhysioNet [34], have been performed separately for all candidate models. The signal processing phase can also be determined as data pre-processing in ECG authentication applications.…”

Section: Data Argumentation Processmentioning

confidence: 99%

Data Independent Acquisition Based Bi-Directional Deep Networks for Biometric ECG Authentication

2021

View full text Add to dashboard Cite

In this report, the study of non-fiducial based approaches for Electrocardiogram(ECG) biometric authentication is examined, and several excessive techniques are proposed to perform comparative experiments for evaluating the best possible approach for all the classification tasks. Non-fiducial methods are designed to extract the discriminative information of a signal without annotating fiducial points. However, this process requires peak detection to identify a heartbeat signal. Based on recent studies that usually rely on heartbeat segmentation, QRS detection is required, and the process can be complicated for ECG signals for which the QRS complex is absent. Thus, many studies only conduct biometric authentication tasks on ECG signals with QRS complexes, and are hindered by similar limitations. To overcome this issue, we proposed a data-independent acquisition method to facilitate highly generalizable signal processing and feature learning processes. This is achieved by enhancing random segmentation to avoid complicated fiducial feature extraction, along with auto-correlation to eliminate the phase difference due to random segmentation. Subsequently, a bidirectional recurrent neural network (RNN) with long short-term memory (LSTM) deep networks is utilized to automatically learn the features associated with the signal and to perform an authentication task. The experimental results suggest that the proposed data-independent approach using a BLSTM network achieves a relatively high classification accuracy for every dataset relative to the compared techniques. Moreover, it exhibited a significantly higher accuracy rate in experiments using ECG signals without the QRS complex. The results also revealed that data-dependent methods can only perform well for specified data types and amendments of data variations, whereas the presented approach can also be considered for generalization to other quasi-periodical biometric signal-based classification tasks in future studies.

show abstract

“…The original objective of the database was to provide a better understanding of the manifestations of AMI in the ECG in respect to high-frequency components, particularly during ventricular depolarization [7]. From the 104 patients' recordings, 6 patients were excluded because of either problems in the 12-lead configuration or noise.…”

Section: A Databasementioning

confidence: 99%

Myocardial Ischemia Diagnosis Using a Reduced Lead System

Hernández

Bonizzi

Karel

et al. 2018

2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

View full text Add to dashboard Cite

published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal.If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the "Taverne" license above, please follow below link for the End User

show abstract

The STAFF III Database: ECGs Recorded During Acutely Induced Myocardial Ischemia

Abstract: The

Cited by 16 publications

References 8 publications

Spatial Correlation Between Myocyte's Repolarization Times and Their Alternans Drives T-Wave Alternans on the ECG

Spatial Correlation Between Myocyte's Repolarization Times and Their Alternans Drives T-Wave Alternans on the ECG

Data Independent Acquisition Based Bi-Directional Deep Networks for Biometric ECG Authentication

Myocardial Ischemia Diagnosis Using a Reduced Lead System

Contact Info

Product

Resources

About