Cardiac Monitoring in the Emergency Department

Zègre‐Hemsey, Jessica K.; Garvey, J. Lee; Carey, Mary G.

doi:10.1016/j.cnc.2016.04.009

Cited by 11 publications

(8 citation statements)

References 49 publications

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“…For any patient with chest pain, it is recommended that a 12-lead electrocardiogram (ECG) be recorded within 10 minutes upon arrival in the emergency room to enable timely diagnosis of acute heart disease and decrease mortality. 1 However, it has been challenging to carry out the clinical standard 12-lead ECG correctly in emergency settings. According to Medani et al, only 34% of the precordial leads are placed correctly in a study of 100 trained technicians.…”

Section: Introductionmentioning

confidence: 99%

Stretchable Textile Bands for Ambulatory Electrocardiogram and Oximetry

Liu

Sadatian

et al. 2022

IEEE Flex. Electron.

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This work presents a vital sign monitoring interface combining electrocardiogram (ECG) and reflective photoplethysmography (PPG) acquisition on stretchable kinesiology tapes. The integrated textile bands are less prone to electrode misplacement and deliver high-quality diagnostic ECG signals with dry electrodes. The reflective PPG measured over the subclavian artery is used to track blood oxygen saturation, and in combination with ECG, enables the determination of pulse transit time and inference of blood pressure. This multimodal interface improves clinical work flows because it is easy to don, reduce motion artifacts, and facilitate more efficient and accurate diagnosis in emergency settings.

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Section: Introductionmentioning

confidence: 99%

Stretchable Textile Bands for Ambulatory Electrocardiogram and Oximetry

Liu

Sadatian

et al. 2022

IEEE Flex. Electron.

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“…The current ECG development is limited to P waves, QRS complexes, and T waves, so a deficiency of the ECG is the trouble in identifying structural heart valve abnormalities and flaws marked by heart murmurs [2]. The mechanical activity of the heart cannot be explained with ECG [3]. Likewise, the sound characteristics of the stethoscope for diagnosing heart, lung, and respiratory sounds and for listening to intestines and blood flow in arteries and veins are limited to S1 and S2 signals.…”

Section: Introductionmentioning

confidence: 99%

A Multimodal Model of ECG and Heart Sound Signal by Considering Normal and Abnormal Heart

Oktivasari

Haryanto²,

Suprijadi³

2022

JOIV : Int. J. Inform. Visualization

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Analysis of the opening and closing of heart valves and the movement of blood flow in the heart are important in the domain of early detection of heart conditions. To build this correlation model, multimodal signals from electrocardiography and stethoscope are needed. Multimodal signaling was performed using primary data with the same sampling at 10 seconds by recording the PQRST heart signal in the lying position using electrocardiography and the heart sound in the sitting position using an electronic stethoscope. Experimental results showed that the number of R peaks is the same as the number of S1 sound peaks, and also the number of T peaks with the number of S2 sound peaks, so it can be concluded that there is a regular signal pattern relationship between S1-S2 and the RT wave, namely the relationship at the end of the first peak of the QRS wave. The cardiac signal due to ventricular depolarization (ventricular contraction), the appearance of an S1 heart sound, and the association of the end of the next peak of the T wave of cardiac signals indicate ventricular repolarization and the appearance of an S2 heart sound. This is consistent with the fact that electrical events in cardiac activity occur before mechanical events in normal heart conditions. Based on the study of HRV parameters, heart sound signals can be used to determine HRV parameters. The results show the same number of peaks in normal hearts, while in abnormal hearts, there are differences in results because abnormal heart conditions have an erratic rhythmic pattern.

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“…In hospitals’ cardiology departments, the electrocardiogram signal remains one of the predominant and most widely used tools for the diagnosis and analysis of cardiac arrhythmia. See also [ 1 ].…”

Section: Introduction and Motivationmentioning

confidence: 99%

Clifford Wavelet Entropy for Fetal ECG Extraction

Jallouli

Arfaoui

Mabrouk

et al. 2021

Entropy

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Analysis of the fetal heart rate during pregnancy is essential for monitoring the proper development of the fetus. Current fetal heart monitoring techniques lack the accuracy in fetal heart rate monitoring and features acquisition, resulting in diagnostic medical issues. The challenge lies in the extraction of the fetal ECG from the mother ECG during pregnancy. This approach has the advantage of being a reliable and non-invasive technique. In the present paper, a wavelet/multiwavelet method is proposed to perfectly extract the fetal ECG parameters from the abdominal mother ECG. In a first step, due to the wavelet/mutiwavelet processing, a denoising procedure is applied to separate the noised parts from the denoised ones. The denoised signal is assumed to be a mixture of both the MECG and the FECG. One of the well-known measures of accuracy in information processing is the concept of entropy. In the present work, a wavelet/multiwavelet Shannon-type entropy is constructed and applied to evaluate the order/disorder of the extracted FECG signal. The experimental results apply to a recent class of Clifford wavelets constructed in Arfaoui, et al. J. Math. Imaging Vis. 2020, 62, 73–97, and Arfaoui, et al.Acta Appl. Math.2020, 170, 1–35.. Additionally, classical Haar–Faber–Schauder wavelets are applied for the purpose of comparison. Two main well-known databases have been applied, the DAISY database and the CinC Challenge 2013 database. The achieved accuracy over the test databases resulted in Se=100%, PPV=100% for FECG extraction and peak detection.

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Cardiac Monitoring in the Emergency Department

Cited by 11 publications

References 49 publications

Stretchable Textile Bands for Ambulatory Electrocardiogram and Oximetry

Stretchable Textile Bands for Ambulatory Electrocardiogram and Oximetry

A Multimodal Model of ECG and Heart Sound Signal by Considering Normal and Abnormal Heart

Clifford Wavelet Entropy for Fetal ECG Extraction

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