scholarly journals The experience of using non-invasive long-term ECG monitoring in patients with various cardiac arrhythmias

2021 ◽  
Vol 36 (3) ◽  
pp. 166-172
Author(s):  
E. A. Archakov ◽  
R. E. Batalov ◽  
S. Y. Usenkov ◽  
S. V. Popov
Keyword(s):  
Atrial Fibrillation ◽  
Cardiac Arrhythmias ◽  
Ecg Monitoring ◽  
Non Invasive ◽  
Electrocardiogram Ecg ◽  
Clinical Cases

The article describes clinical cases demonstrating the advantages of non-invasive long-term electrocardiogram (ECG) monitoring allowing to detect asymptomatic atrial fibrillation (AF) and transient atrioventricular (AV) and sinoatrial (SA) blocks.

scholarly journals A Wearable Electrocardiogram Telemonitoring System for Atrial Fibrillation Detection

Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 606 ◽  
Author(s):  
Minggang Shao ◽  
Zhuhuang Zhou ◽  
Guangyu Bin ◽  
Yanping Bai ◽  
Shuicai Wu
Keyword(s):  
Atrial Fibrillation ◽  
Ecg Monitoring ◽  
Web Browser ◽  
Ecg Signals ◽  
Cloud Server ◽  
Android App ◽  
Electrocardiogram Ecg ◽  
The Web ◽  
Ecg Data

In this paper we proposed a wearable electrocardiogram (ECG) telemonitoring system for atrial fibrillation (AF) detection based on a smartphone and cloud computing. A wearable ECG patch was designed to collect ECG signals and send the signals to an Android smartphone via Bluetooth. An Android APP was developed to display the ECG waveforms in real time and transmit every 30 s ECG data to a remote cloud server. A machine learning (CatBoost)-based ECG classification method was proposed to detect AF in the cloud server. In case of detected AF, the cloud server pushed the ECG data and classification results to the web browser of a doctor. Finally, the Android APP displayed the doctor’s diagnosis for the ECG signals. Experimental results showed the proposed CatBoost classifier trained with 17 selected features achieved an overall F1 score of 0.92 on the test set (n = 7270). The proposed wearable ECG monitoring system may potentially be useful for long-term ECG telemonitoring for AF detection.

scholarly journals Anytime ECG Monitoring through the Use of a Low-Cost, User-Friendly, Wearable Device

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6036
Author(s):  
Vincenzo Randazzo ◽  
Jacopo Ferretti ◽  
Eros Pasero
Keyword(s):  
Atrial Fibrillation ◽  
Low Cost ◽  
Portable Devices ◽  
Cardiac Health ◽  
Non Invasive ◽  
Key Factor ◽  
User Friendly ◽  
Electrocardiogram Ecg

Every year cardiovascular diseases kill the highest number of people worldwide. Among these, pathologies characterized by sporadic symptoms, such as atrial fibrillation, are difficult to be detected as state-of-the-art solutions, e.g., 12-leads electrocardiogram (ECG) or Holter devices, often fail to tackle these kinds of pathologies. Many portable devices have already been proposed, both in literature and in the market. Unfortunately, they all miss relevant features: they are either not wearable or wireless and their usage over a long-term period is often unsuitable. In addition, the quality of recordings is another key factor to perform reliable diagnosis. The ECG WATCH is a device designed for targeting all these issues. It is inexpensive, wearable (size of a watch), and can be used without the need for any medical expertise about positioning or usage. It is non-invasive, it records single-lead ECG in just 10 s, anytime, anywhere, without the need to physically travel to hospitals or cardiologists. It can acquire any of the three peripheral leads; results can be shared with physicians by simply tapping a smartphone app. The ECG WATCH quality has been tested on 30 people and has successfully compared with an electrocardiograph and an ECG simulator, both certified. The app embeds an algorithm for automatically detecting atrial fibrillation, which has been successfully tested with an official ECG simulator on different severity of atrial fibrillation. In this sense, the ECG WATCH is a promising device for anytime cardiac health monitoring.

scholarly journals Recent Research for Unobtrusive Atrial Fibrillation Detection Methods Based on Cardiac Dynamics Signals: A Survey

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3814
Author(s):  
Fangfang Jiang ◽  
Yihan Zhou ◽  
Tianyi Ling ◽  
Yanbing Zhang ◽  
Ziyu Zhu
Keyword(s):  
Atrial Fibrillation ◽  
Detection Methods ◽  
Ecg Signals ◽  
Non Invasive ◽  
Cardiac Dynamics ◽  
Feature Extraction And Selection ◽  
Future Work ◽  
Electrocardiogram Ecg ◽  
Term Monitoring

Atrial fibrillation (AF) is the most common cardiac arrhythmia. It tends to cause multiple cardiac conditions, such as cerebral artery blockage, stroke, and heart failure. The morbidity and mortality of AF have been progressively increasing over the past few decades, which has raised widespread concern about unobtrusive AF detection in routine life. The up-to-date non-invasive AF detection methods include electrocardiogram (ECG) signals and cardiac dynamics signals, such as the ballistocardiogram (BCG) signal, the seismocardiogram (SCG) signal and the photoplethysmogram (PPG) signal. Cardiac dynamics signals can be collected by cushions, mattresses, fabrics, or even cameras, which is more suitable for long-term monitoring. Therefore, methods for AF detection by cardiac dynamics signals bring about extensive attention for recent research. This paper reviews the current unobtrusive AF detection methods based on the three cardiac dynamics signals, summarized as data acquisition and preprocessing, feature extraction and selection, classification and diagnosis. In addition, the drawbacks and limitations of the existing methods are analyzed, and the challenges in future work are discussed.

scholarly journals Non-invasive mid-term ECG monitoring for the detection of atrial fibrillation in an outpatient population

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
J Cai ◽  
K.K Yeo ◽  
P Wong ◽  
C.K Ching
Keyword(s):  
Atrial Fibrillation ◽  
Public Institution ◽  
First Episode ◽  
Prior History ◽  
Funding Source ◽  
Monitoring Device ◽  
Ecg Monitoring ◽  
Non Invasive ◽  
Increased Risk ◽  
The Mean

Abstract Background Atrial fibrillation (AF) is a common arrhythmia with significant morbidity due to an increased risk of ischemic stroke. Outpatient electrocardiogram (ECG) monitoring is an integral part of the diagnosis of AF. Conventional 24 hour Holter monitoring can be cumbersome and often fails to diagnose patients with paroxysmal AF. Spyder ECG is a non-invasive ECG monitoring device that allows wireless transmission of ECG information for analysis. It is small and comfortable, allowing for easy application for the screening and detection of AF over a mid-term duration. Purpose This study aims to evaluate the incidence of AF in patients with no prior AF and CHADsVASC score of at least 1 with the use of the Spyder ECG mid-term ECG monitoring device. Methods Patients aged 21 to 85 years old with no prior history of AF and CHADsVASC score of at least 1 were recruited from outpatient clinics of 3 large tertiary hospitals in Singapore from December 2016 to April 2019. Patients wore the Spyder ECG device for up to 2 weeks, during which continuous ECG information was uploaded onto a central cloud database and analysed. Results There were 363 patients recruited. The mean age was 61±10.0 years and 65.1% were male. There were 80.3% Chinese, 11.6% Malay, 7.5% Indian and 20.6% of other races. 68.3% of the patients were non-smokers and 74.0% of them were non-alcohol drinkers. The mean BMI of 25.5±4.7 kg/m2. The patient population had significant co-morbidities. 76.3% of the patients had hypertension, 69.4% of them had hyperlipidemia and 40.5% of them had diabetes mellitus. 10.0% of them had congestive cardiac failure and 56.7% had ischaemic heart disease. 11.3% of patients had a previous stroke and 20.4% had a prior myocardial infarction. 7.8% of the patients had asthma, 5.8% of them had thyroid disease and 9.9% of them had chronic kidney disease. They were monitored for a mean of 5.4±2.9 days each. There were 15 (4.1%) patients in whom AF was detected. The patients with AF wore the device for a mean of 5.7±2.0 SD days. The mean burden of AF was 9.0% of monitored time. 46.7% of the patients with AF had detection of AF on the first day, 26.7% on the second day, 13.3% on the third day and 13.3% on the seventh day. The mean duration of the first episode of AF was 251±325 minutes. 7 out of 15 (46.7%) of patients had first episodes of AF lasting less than 10 minutes. Conclusion Continuous mid-term ECG monitoring was able to detect AF in 15 (4.1%) of a population of 363 patients with no prior AF and CHADsVASC score of at least one, monitored for a mean of 5.4 days. Most episodes (53.3%) of AF were detected after the first day of ECG monitoring. Funding Acknowledgement Type of funding source: Public Institution(s). Main funding source(s): Duke-NUS Medical School Singapore

scholarly journals Predictors of Occult Paroxysmal Atrial Fibrillation in Cryptogenic Strokes Detected by Long-Term Noninvasive Cardiac Monitoring

2011 ◽  
Vol 2011 ◽  
pp. 1-5 ◽  
Author(s):  
Archit Bhatt ◽  
Arshad Majid ◽  
Anmar Razak ◽  
Mounzer Kassab ◽  
Syed Hussain ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Paroxysmal Atrial Fibrillation ◽  
Cryptogenic Stroke ◽  
Cardiac Monitoring ◽  
High Signal ◽  
Detection Rates ◽  
Non Invasive ◽  
Patient Reported ◽  
Premature Beats

Background and Purpose. Paroxysmal Atrial fibrillation/Flutter (PAF) detection rates in cryptogenic strokes have been variable. We sought to determine the percentage of patients with cryptogenic stroke who had PAF on prolonged non-invasive cardiac monitoring.Methods and Results. Sixty-two consecutive patients with stroke and TIA in a single center with a mean age of 61 (+/− 14) years were analyzed. PAF was detected in 15 (24%) patients. Only one patient reported symptoms of shortness of breath during the episode of PAF while on monitoring, and 71 (97%) of these 73 episodes were asymptomatic. A regression analysis revealed that the presence of PVCs (ventricular premature beats) lasting more than 2 minutes (OR 6.3, 95% CI, 1.11–18.92;P=.042) and strokes (high signal on Diffusion Weighted Imaging) (OR 4.3, 95% CI, 5–36.3;P=.041) predicted PAF. Patients with multiple DWI signals were more likely than solitary signals to have PAF (OR 11.1, 95% CI, 2.5–48.5,P<.01).Conclusion. Occult PAF is common in cryptogenic strokes, and is often asymptomatic. Our data suggests that up to one in five patients with suspected cryptogenic strokes and TIAs have PAF, especially if they have PVCs and multiple high DWI signals on MRI.

Relevance of supraventricular runs detected after cerebral ischemia

Neurology ◽  
2017 ◽  
Vol 89 (15) ◽  
pp. 1545-1552 ◽  
Author(s):  
Mark Weber-Krüger ◽  
Constanze Lutz ◽  
Antonia Zapf ◽  
Raoul Stahrenberg ◽  
Joachim Seegers ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Cerebral Ischemia ◽  
Ecg Monitoring ◽  
Holter Ecg ◽  
Acute Cerebral Ischemia ◽  
Temporal Phenomenon ◽  
Long Term Follow Up ◽  
Recurrent Strokes

Objective:Prolonged ECG monitoring after stroke frequently reveals short paroxysmal atrial fibrillation (pAF) and supraventricular (SV) runs. The minimal duration of atrial fibrillation (AF) required to induce cardioembolism, the relevance of SV runs, and whether short pAF results from cerebral damage itself are currently being debated. We aimed to study the relevance of SV runs and short pAF detected by prolonged Holter ECG after cerebral ischemia during long-term follow-up.Methods:Analysis is from the prospective Find-AF trial (ISRCTN46104198). We included patients with acute cerebral ischemia. Those without AF on admission received 7-day Holter ECG monitoring. We differentiated patients with AF on admission (AF-adm), with pAF (>30 seconds), with SV runs (>5 beats but <30 seconds in a 24-hour ECG interval), and without SV runs (controls). During follow-up, those with baseline pAF received another 7-day Holter ECG to examine AF persistence.Results:A total of 254 of 281 initially included patients were analyzed (mean age 70.0 years, 45.3% female). Forty-three (16.9%) had AF-adm. A total of 211 received 7-day Holter ECG monitoring: 27 (12.8%) had pAF, 67 (31.8%) had SV runs, and 117 (55.5%) were controls. During a mean 3.7 years of follow-up, the SV runs group had more recurrent strokes (p = 0.04) and showed numerically more novel AF (12% vs 5%, p = 0.09) than the controls. Seventy-five percent of the patients with manifest pAF detected after cerebral ischemia still had AF during follow-up (50% paroxysmal, 50% persisting/permanent).Conclusions:Patients with cerebral ischemia and SV runs had more recurrent strokes and numerically more novel AF during follow-up and could benefit from further prolonged ECG monitoring. pAF detected after stroke is not a temporal phenomenon.

scholarly journals Personalized Evaluation of Atrial Complexity of Patients Undergoing Atrial Fibrillation Ablation: A Clinical Computational Study

Biology ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 838
Author(s):  
Ana María Sánchez de la Nava ◽  
Ana González Mansilla ◽  
Esteban González-Torrecilla ◽  
Pablo Ávila ◽  
Tomás Datino ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Computational Study ◽  
P Value ◽  
Electrocardiographic Imaging ◽  
Non Invasive ◽  
Electrical Modelling ◽  
One Year ◽  
Improve Patient ◽  
Af Recurrence

Current clinical guidelines establish Pulmonary Vein (PV) isolation as the indicated treatment for Atrial Fibrillation (AF). However, AF can also be triggered or sustained due to atrial drivers located elsewhere in the atria. We designed a new simulation workflow based on personalized computer simulations to characterize AF complexity of patients undergoing PV ablation, validated with non-invasive electrocardiographic imaging and evaluated at one year after ablation. We included 30 patients using atrial anatomies segmented from MRI and simulated an automata model for the electrical modelling, consisting of three states (resting, excited and refractory). In total, 100 different scenarios were simulated per anatomy varying rotor number and location. The 3 states were calibrated with Koivumaki action potential, entropy maps were obtained from the electrograms and compared with ECGi for each patient to analyze PV isolation outcome. The completion of the workflow indicated that successful AF ablation occurred in patients with rotors mainly located at the PV antrum, while unsuccessful procedures presented greater number of driving sites outside the PV area. The number of rotors attached to the PV was significantly higher in patients with favorable long-term ablation outcome (1-year freedom from AF: 1.61 ± 0.21 vs. AF recurrence: 1.40 ± 0.20; p-value = 0.018). The presented workflow could improve patient stratification for PV ablation by screening the complexity of the atria.

scholarly journals Delayed sinus rhythm restoration after thoracoscopic left atrium fragmentation (а report of two cases)

2020 ◽  
Vol 11 (4) ◽  
pp. 90-95
Author(s):  
Sergey A. Vachev ◽  
Sergey V. Korolev ◽  
Alexandr S. Zotov ◽  
Robert I. Khabazov ◽  
Alexander V. Troitskiy
Keyword(s):  
Atrial Fibrillation ◽  
Sinus Rhythm ◽  
Left Atrium ◽  
Persistent Atrial Fibrillation ◽  
Clinical Cases

The article presents two clinical cases of delayed restoration of the sinus rhythm in patients with long-term persistent atrial fibrillation after the procedure of thoracoscopic radiofrequency fragmentation of the left atrium. The necessity of continuing attempts to restore the sinus rhythm up to the end of the "blind period" (90 days) is discussed.

scholarly journals The Significance of Detective Arrhythmia by Using the Long- Term Ecg Monitoring in the Elderly “so Called” Healthy People: A Screening Study

2021 ◽  
Author(s):  
Rongsheng Xie ◽  
Siting Hong ◽  
Guoliang Gao ◽  
Jiaoyue Zhong ◽  
Lixin Geng ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Atrioventricular Block ◽  
Previous History ◽  
The Elderly ◽  
Healthy People ◽  
Ecg Monitoring ◽  
Adhesive Patch ◽  
Screening Study ◽  
History Of

Abstract BackgroundArrhythmias are potential harmful diseases to human beings, especially atrial fibrillation and ventricular arrhythmia, for causing serious consequences such as acute stroke or even sudden cardiac death. Recently the screening of asymptomatic atrial fibrillation by using the long-term ECG monitoring has been widely noticed. The study is to evaluate the significance of detective arrhythmia by using the long-term ECG monitoring in the elderly “so called” healthy people who never have the symptoms of palpitation, short breath or deny previous history of arrhythmia.MethodsWe enrolled a screening study of 1056 participants who were the elderly “so called” healthy people and ready to have a healthy examination from three different communities. They all underwent a long-term ECG monitoring（an adhesive patch）to evaluate cardiac arrhythmia. Inclusion criterias were 1) without any symptoms, 2) age ≥55, and 3) denying previous history of arrhythmia. We excluded patients with prior arrhythmias and who carried the patch for less than one day due to various factors. Then we compared the detected arrhythmia events in the first 24 hours and the total wearing time. ResultsOut of 1056 participants (69.8±12.0 years, 620 males), supraventricular tachycardia (SVT) was present in 538 subjects (44% VS 54%, 24 hours VS after 24 hours, P>0.05), atrial fibrillation (AF) was detected in 69 subjects (75% VS 25%, 24 hours VS after 24 hours, P<0.001), second degree type II atrioventricular block/third degree atrioventricular block (AVB) and sinus arrest were detected in 9 subjects(22% VS 78%, 24 hours VS after 24 hours, P<0.001),ventricular tachycardia was detected in 29 subjects (31% VS 69%, 24 hours VS after 24 hours, P<0.001). The adhesive patch monitor detected 32.10%（339/1056）arrhythmia events over the first 24 hours compared with arrhythmia events over the total wearing time of the devices, 61.08%（645/1056）(P<0.001). ConclusionsThe long-term adhesive patch monitor (APM) can improve the diagnosis of conceal arrhythmias which have high risks for life quality and lifespan in the elderly “so called ” healthy people, and the diagnostic advantage in bradycardia and ventricular arrhythmias are more obvious.

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