On the resolution of ECG acquisition systems for the reliable analysis of the P-wave

Censi, Federica; Corazza, Ivan; Mattei, Eugenio; Triventi, Michele; Bartolini, Pietro; Boriani, Giuseppe

doi:10.1088/0967-3334/33/2/n11

Cited by 10 publications

(7 citation statements)

References 20 publications

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“…The ECG signals were acquired from leads II, aVF and V1 at a sampling rate of 1000 Hz and 16-bit resolution over an amplitude range of ± 10 mV. These time and amplitude resolutions have proven to be recommended for P-wave analysis (Censi et al 2012). Only lead V1 was considered in the study because P-waves were most visible in this lead.…”

Section: Delineation Of the P-wavementioning

confidence: 99%

Study on the P-wave feature time course as early predictors of paroxysmal atrial fibrillation

Martínez¹,

Alcaraz²,

Rieta³

2012

Physiol. Meas.

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Atrial fibrillation (AF) is the most common cardiac arrhythmia in clinical practice, increasing the risk of stroke and all-cause mortality. Its mechanisms are poorly understood, thus leading to different theories and controversial interpretation of its behavior. In this respect, it is unknown why AF is self-terminating in certain individuals, which is called paroxysmal AF (PAF), and not in others. Within the context of biomedical signal analysis, predicting the onset of PAF with a reasonable advance has been a clinical challenge in recent years. By predicting arrhythmia onset, the loss of normal sinus rhythm could be addressed by means of preventive treatments, thus minimizing risks for the patients and improving their quality of life. Traditionally, the study of PAF onset has been undertaken through a variety of features characterizing P-wave spatial diversity from the standard 12-lead electrocardiogram (ECG) or from signal-averaged ECGs. However, the variability of features from the P-wave time course before PAF onset has not been exploited yet. This work introduces a new alternative to assess time diversity of the P-wave features from single-lead ECG recordings. Furthermore, the method is able to assess the risk of arrhythmia 1 h before its onset, which is a relevant advance in order to provide clinically useful PAF risk predictors. Results were in agreement with the electrophysiological changes taking place in the atria. Hence, P-wave features presented an increasing variability as PAF onset approximates, thus suggesting intermittently disturbed conduction in the atrial tissue. In addition, high PAF risk prediction accuracy, greater than 90%, has been reached in the two considered scenarios, i.e. discrimination between healthy individuals and PAF patients and between patients far from PAF and close to PAF onset. Nonetheless, more long-term studies have to be analyzed and validated in future works.

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Section: Delineation Of the P-wavementioning

confidence: 99%

Study on the P-wave feature time course as early predictors of paroxysmal atrial fibrillation

Martínez¹,

Alcaraz²,

Rieta³

2012

Physiol. Meas.

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“…According to [ 105 ], due to the lack of points available in ECG signals, signals with low sampling frequency are usually inefficient for ECG matching purposes when methods such as cross-correlation, percentage root-mean-square deviation, and wavelet distance measurement are used. As such, the low sampling frequencies used in old commercial systems (e.g., 128 Hz) usually need a reinterpolation of data [ 106 ]. There are already some studies that developed enhancement techniques to increase the number of samples of a given ECG data from low sampling frequency recordings [ 107 ].…”

Section: Discussionmentioning

confidence: 99%

“…This advancement has provided new insights and has shown that techniques to reduce noise are effective in clinical settings. In [ 106 ], the authors investigated the effects of the amplitude resolution of ECG acquisition systems on the P-wave analysis. Results proved that at lower bit resolutions, the percentage error is higher than 40%, meaning that almost half of the results are different from the ones obtained with the highest resolution.…”

Section: Discussionmentioning

confidence: 99%

Biometric Recognition: A Systematic Review on Electrocardiogram Data Acquisition Methods

Pereira

Conceição

Sencadas

et al. 2023

Sensors

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In the last decades, researchers have shown the potential of using Electrocardiogram (ECG) as a biometric trait due to its uniqueness and hidden nature. However, despite the great number of approaches found in the literature, no agreement exists on the most appropriate methodology. This paper presents a systematic review of data acquisition methods, aiming to understand the impact of some variables from the data acquisition protocol of an ECG signal in the biometric identification process. We searched for papers on the subject using Scopus, defining several keywords and restrictions, and found a total of 121 papers. Data acquisition hardware and methods vary widely throughout the literature. We reviewed the intrusiveness of acquisitions, the number of leads used, and the duration of acquisitions. Moreover, by analyzing the literature, we can conclude that the preferable solutions include: (1) the use of off-the-person acquisitions as they bring ECG biometrics closer to viable, unconstrained applications; (2) the use of a one-lead setup; and (3) short-term acquisitions as they required fewer numbers of contact points, making the data acquisition of benefit to user acceptance and allow faster acquisitions, resulting in a user-friendly biometric system. Thus, this paper reviews data acquisition methods, summarizes multiple perspectives, and highlights existing challenges and problems. In contrast, most reviews on ECG-based biometrics focus on feature extraction and classification methods.

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“…Therefore, the effect of confounding factors such as age, gender or heart rate on P-wave features [28] cannot be controlled in the study. Second, the ECGs were sampled at 128 Hz, which hinders an accurate P-wave characterisation [29]. Finally, only 30 min-length ECG intervals were provided, thus turning impossible the analysis of longer time intervals before PAF onset, such as the presented in this study.…”

Section: Discussionmentioning

confidence: 99%

Alteration of the P-wave non-linear dynamics near the onset of paroxysmal atrial fibrillation

Martínez

Abásolo

Alcaraz

et al. 2015

Medical Engineering & Physics

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On the resolution of ECG acquisition systems for the reliable analysis of the P-wave

Cited by 10 publications

References 20 publications

Study on the P-wave feature time course as early predictors of paroxysmal atrial fibrillation

Study on the P-wave feature time course as early predictors of paroxysmal atrial fibrillation

Biometric Recognition: A Systematic Review on Electrocardiogram Data Acquisition Methods

Alteration of the P-wave non-linear dynamics near the onset of paroxysmal atrial fibrillation

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