Background: We performed this study to evaluate the feasibility and accuracy of a new mobile electrocardiography (ECG) device, ER-2000(®), in detecting cardiac arrhythmia, by comparing it to a 12-lead ECG used as the gold standard.
Methods: Mode 1 of ER-2000(®) was recorded using three electrodes with cables attached to the anterior chest wall, and mode 2 was recorded using the side chest channel and finger channel. Standard 12-lead ECG was used to record with a speed of 25 mm/s, simultaneously.
Results: Seventeen patients with complaints of palpitation were enrolled. Twelve-lead ECG revealed normal sinus rhythm in three patients, sinus tachycardia in one, atrial fibrillation (AF) in two, atrial tachycardia (AT) in one, first degree atrioventricular block in one, pacing rhythm in two patients who underwent permanent pacemaker implantation, AF with intermittent ventricular pacing in one, complete right bundle branch block in one, J-wave elevation in one, narrow QRS tachycardia in one, atrial premature beat (APB) in one, ventricular premature beat (VPB) in one, and narrow QRS tachycardia with intermittent aberrant conduction in one. Rhythm diagnosis obtained by the two different modes of ER-2000(®) was correlated with that obtained by the 12-lead ECG in all patients except in one in whom ER-2000(®) showed one APB while 12-lead ECG showed sinus rhythm. R-R interval was accurately recorded despite the detailed morphology of QRS, and T-wave was somewhat modified with the use of ER-2000(®). A pacing blip detected by 12-lead ECG was not detected by ER-2000(®) despite a similar wide QRS duration in the paced QRS.
Conclusions: A rhythm strip obtained using ER-2000(®) is accurate in diagnosing arrhythmia, despite some differences in the detailed morphology of the QRS and T-wave, and the pacing spike compared to those obtained by the 12-lead ECG.
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http://dx.doi.org/10.1016/j.joa.2014.12.003 | DOI Listing |
Sleep Breath
January 2025
Departments of Otolaryngology, Kangwon National University College of Medicine, Kangwon National University Hospital, 156, Baengnyeong-ro, Chuncheon-Si, Gangwon-Do, Chuncheon, 24289, Republic of Korea.
Purpose: The effect of allergic rhinitis (AR) on autonomic nervous system in patients with obstructive sleep apnea (OSA) remains unclear. We utilized heart rate variability (HRV) analysis to assess cardiac autonomic activity in patients with OSA, comparing those with and without allergic rhinitis (AR).
Methods: We enrolled 182 patients who visited our sleep clinic complaining of habitual snoring or apnea during sleep.
BMJ Case Rep
January 2025
Cardiology, Lokmanya Tilak Municipal Medical College and General Hospital, Mumbai, Maharashtra, India.
A man in his early 50s presented to the emergency department (ED) with sudden onset of palpitation and presyncope. The 12-lead electrocardiogram (ECG) recorded in ED showed monomorphic ventricular tachycardia requiring cardioversion in view of haemodynamic instability. The patient was subsequently detected to have an anomalous left coronary artery origin from the pulmonary artery.
View Article and Find Full Text PDFAm J Nurs
December 2024
Nicole Kupchik is an independent clinical nurse specialist at Nicole Kupchik Consulting in Seattle. Sarah Vance is a critical care facility educator at Trident Medical Center in Charleston, SC. Kupchik also coordinates Strip The authors have disclosed no potential conflicts of interest, financial or otherwise.
Editor's note: This is the next installment in a series on electrocardiogram (ECG) interpretation. Nurses in all settings should know the basics, as medications and physiological changes can cause cardiac arrhythmias. Each article will start with a brief case scenario and an ECG strip and then take you step by step through analyzing the heart rhythm.
View Article and Find Full Text PDFSensors (Basel)
December 2024
REMIT (Research on Economics, Management and Information Technologies), IJP (Instituto Jurídico Portucalense), Universidade Portucalense, Rua Dr. António Bernardino de Almeida, 541-619, 4200-072 Porto, Portugal.
Some previous studies have focused on using physiological signals to detect stress in individuals with ASD through wearable devices, yet few have focused on how to design such solutions. Wearable technology may be a valuable tool to aid parents and caregivers in monitoring the emotional states of individuals with ASD who are at high risk of experiencing very stressful situations. However, effective wearable devices for individuals with ASD may need to differ from solutions for those without ASD.
View Article and Find Full Text PDFSensors (Basel)
December 2024
School of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China.
Electrocardiogram (ECG) signals contain complex and diverse features, serving as a crucial basis for arrhythmia diagnosis. The subtle differences in characteristics among various types of arrhythmias, coupled with class imbalance issues in datasets, often hinder existing models from effectively capturing key information within these complex signals, leading to a bias towards normal classes. To address these challenges, this paper proposes a method for arrhythmia classification based on a multi-branch, multi-head attention temporal convolutional network (MB-MHA-TCN).
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