scholarly journals On the Beat Detection Performance in Long-Term ECG Monitoring Scenarios

Sensors ◽  
2018 ◽  
Vol 18 (5) ◽  
pp. 1387 ◽  
Author(s):  
Francisco-Manuel Melgarejo-Meseguer ◽  
Estrella Everss-Villalba ◽  
Francisco-Javier Gimeno-Blanes ◽  
Manuel Blanco-Velasco ◽  
Zaida Molins-Bordallo ◽  
...  
Keyword(s):  
Detection Performance ◽  
Ecg Monitoring ◽  
Beat Detection

A Case of 2:1 Atrio-Ventricular Block- Unravelled by Exercise Testing

2020 ◽  
Vol 02 ◽  
Author(s):  
Sharada Sivaram Kalavakolanu ◽  
Madan Mohan Balakrishnan ◽  
Deepesh Venkatarama
Keyword(s):  
Exercise Testing ◽  
Exercise Test ◽  
Heart Block ◽  
Complete Heart Block ◽  
Pacemaker Implantation ◽  
Ecg Monitoring ◽  
Permanent Pacing ◽  
Mill Test

: We present a case of 75-year-old lady with effort intolerance and baseline ECG showing 2:1 atrio-ventricular block, in whom it was unclear as to requirement of permanent pacing, even after long term ECG monitoring. She underwent a tread mill test during which her QRS became wide and developed complete heart block within 2 minutes of the test. Thus, a simple exercise test helped in confirming level of block to be infra nodal without need for invasive study. In patients with exertional symptoms, even in elderly, and in those where ECG masquerades as a benign entity, exercise testing is useful to differentiate benign cases of atrio-ventricular block from the more serious cases that mandate a pacemaker implantation.

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.

Abstract W P191: Patient Compliance High with Long-Term Continuous ECG Monitor

Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
Judith C Lenane ◽  
Angela J Fought ◽  
Jay H Alexander
Keyword(s):  
San Francisco ◽  
Patient Compliance ◽  
Cryptogenic Stroke ◽  
Standard Of Care ◽  
Interquartile Range ◽  
Ecg Monitoring ◽  
Wear Time ◽  
Stroke Population ◽  
Total Wear

Introduction: Long term ECG monitoring to detect atrial fibrillation in a cryptogenic stroke is now the emerging standard of care. The advent of patch based ECG monitors raises the question of patient compliance with this new modality. Hypothesis: We assessed the hypothesis that patient compliance, as measured by Leads-On detection for patch based ECG monitoring, is constant over time. Methods: We performed a retrospective analysis from ZIO® Patch (Patch) devices (iRhythm, San Francisco, CA). The Patch is a continuous recording single lead ECG monitor that can be worn for up to 14 days. The primary endpoint of Leads-On is the percentage of time the device is applied to the patient during the wear period, which was derived from a second channel in the device. The data are gathered by ZEUS software and exported in a CSV file. The compliance data were analyzed overall and in categories at days: 0-1, 1-2, 2 to 7, >7 to 10 and >10 to 14. A secondary endpoint, percent Analyzable Time (percentage of ECG record that was available for detection by the algorithm during the wear period and signifies signal quality), was assessed for the same time increments. Results: The dataset consisted of 18,885 records. The total wear time ranged from 0.10 up to 14.01 days, with a median of 12.51. The medians and interquartile ranges for the percent Leads On and percent of Analyzable Time were 100% (99.99-100%) and 97.99% (94.64-99.26%). In Table 1, the interquartile ranges for percent Leads On and Analyzable Time was wider when the Patch was worn less than a day, but remains above 74%. Total wear time in days n Percent Leads On Percent Analyzable Time Median Interquartile Range Median Interquartile Range 0.10-<1 105 99.65 86.52-100 92.86 74.19-96.97 1-<2 407 100 99.88-100 97.37 90.96-99.02 2-<7 4124 100 100-100 97.96 94.3-99.26 7-<10 2963 100 99.98-100 97.79 94.33-99.19 10+ 11286 100 100-100 98.07 95.00-99.29 Conclusion: Patient compliance with long term ECG patch monitors is high as measured by Leads-On detection. High patient compliance results in a large volume of quality ECG. Further study is needed to compare patient compliance with ECG patch based monitors with other monitoring modalities, particularly in the cryptogenic stroke population.

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 An Analysis of the Effects of Noisy Electrocardiogram Signal on Heartbeat Detection Performance

2020 ◽  
Vol 7 (2) ◽  
pp. 53
Author(s):  
Ziti Fariha Mohd Apandi ◽  
Ryojun Ikeura ◽  
Soichiro Hayakawa ◽  
Shigeyoshi Tsutsumi
Keyword(s):  
Stress Test ◽  
Hospital Setting ◽  
Detection Performance ◽  
Cardiac Monitoring ◽  
Ecg Signal ◽  
Daily Life Activities ◽  
Detection Algorithms ◽  
Beat Detection ◽  
Electrocardiogram Ecg ◽  
The Relationship

Heartbeat detection for ambulatory cardiac monitoring is more challenging as the level of noise and artefacts induced by daily-life activities are considerably higher than monitoring in a hospital setting. It is valuable to understand the relationship between the characteristics of electrocardiogram (ECG) noises and the beat detection performance in the cardiac monitoring system. For this purpose, three well-known algorithms for the beat detection process were re-implemented. The beat detection algorithms were validated using two types of ambulatory datasets, which were the ECG signal from the MIT-BIH Arrhythmia Database and the simulated noise-contaminated ECG signal with different intensities of baseline wander (BW), muscle artefact (MA) and electrode motion (EM) artefact from the MIT-BIH Noise Stress Test Database. The findings showed that signals contaminated with noise and artefacts decreased the potential of beat detection in ambulatory signal with the poorest performance noted for ECG signal affected by the EM artefacts. In conclusion, none of the algorithms was able to detect all QRS complexes without any false detection at the highest level of noise. The EM noise influenced the beat detection performance the most in comparison to the MA and BW noises that resulted in the highest number of misdetections and false detections.

scholarly journals EFFICACY OF ATRIAL FIBRILLATION DETECTION IN CRYPTOGENIC STROKE ACCORDING TO DATA OF IMPLANTABLE LOOP RECORDERS: PILOT STUDY

2019 ◽  
Vol 34 (2) ◽  
pp. 47-53
Author(s):  
S. E. Mamchur ◽  
E. A. Ivanitskiy ◽  
O. M. Polikutina ◽  
T. Yu. Chichkova ◽  
I. N. Mamchur ◽  
...  
Keyword(s):  
Recurrent Stroke ◽  
Cryptogenic Stroke ◽  
Ecg Monitoring ◽  
Group Iii ◽  
External Monitoring ◽  
Group I ◽  
Monitoring Group ◽  
Group Ii

Aim. To estimate the efficacy of invasive and non-invasive long-term ECG monitoring in comparison with conventional follow-up for the detection of silent atrial fibrillation (AF)/atrial flutter (AFL)/atrial tachycardia (AT) in patients with a cryptogenic stroke.Methods. The randomized, prospective, two-center study enrolled 36 patients who suffered cryptogenic stroke (CS) or transient ischemic attack (TIA) without past history of AF/AFL/AT. Patients were randomized in a 1:1:1 ratio to one of the three ECG monitoring strategies: standard arrhythmia monitoring (group I, n=12), ECG-monitoring with implantable loop recorder (group II, n=12), and ambulatory noninvasive ECG monitoring (group III, n=12). The primary endpoint was the time to the first detection of AF/AFL/AT. Patients, assigned to the group I, underwent an assessment at scheduled and unscheduled visits and received ambulatory ECG monitoring 28 days and 1 year after randomization. Patients in the group II underwent implantation of Reveal XT (Medtronic, USA) with the daily remote data transmission to CareLink Network. In the group III, for long-term external monitoring, Spyder system (WEB Biotechnology, Singapore) was used for up to 28 days.Results. During the first 28 days of observation, there were no significant differences in AF detection rates between groups I, II, and III: 0 (0%), 1 (8%), and 2 (17%) cases, respectively, р=0.537. During the year of observation, AF/AFL/AT episodes were detected in 1 case (8%) in the group I, 6 cases (50%) in the group II, and 2 cases (17%) in the group III, p=0.0486. The mean time from enrollment into the study to detection of the first AF/AFL/AT episode was 67 days (15; 97) in all groups. In the groups II and III, the first arrhythmia episodes were detected by monitoring devices on days 24 and 6, respectively. In most cases, arrhythmia episodes detected by long-term monitoring were asymptomatic. Recurrent stroke or TIA events occurred in group I and III (1 case in each group), but not in the group with implantable cardiac monitors. Subgroup analysis showed that significantly higher AF/AFL/AT detection rate was associated with stroke, CHA2DS2VASc score ≥2, and the presence of hypertension. For the 12 months of follow-up, the mean AF burden in the group II was 0.4 (0.2; 0.5) hours per day (1.6%). In the patients with recurrent stroke, AF burden was 3.2% compared to 0.9% in the rest of patients.Conclusion. Detection of silent AF with implantable cardiac monitors is superior to standard and long-term external monitoring in cryptogenic stroke patients.

scholarly journals Long-term ECG monitoring

2021 ◽  
Vol 67 (1) ◽  
pp. 16-21
Author(s):  
Veronika Bulková
Keyword(s):  
Ecg Monitoring

scholarly journals A Long-Term, Portable ECG Patch Monitor Based on Flexible Dry Electrode

2022 ◽  
Author(s):  
Hao Chu ◽  
Chenxi Yang ◽  
Yantao Xing ◽  
Jianqing Li ◽  
Chengyu Liu
Keyword(s):  
Electrode Impedance ◽  
Ecg Monitoring ◽  
High Quality ◽  
Ecg Signals ◽  
Skin Electrode ◽  
Rr Interval ◽  
Dry Electrodes ◽  
Dry Electrode ◽  
And Storage

Abstract PurposeLong-term electrocardiogram (ECG) monitoring is an essential approach for the early diagnosis of cardiovascular diseases. Flexible dry electrodes that contains electrolyte without water could be a potential substitution of wet electrodes for long-term ECG monitoring. Therefore, this paper developes a long-term, portable ECG patch based on flexible dry electrodes, namely SEUECG-100.MethodA device consists of analog-front-end acquisition, data acquisition, and storage modules is developed and tested. An impedance test was conducted to compare the skin-electrode impedance of the flexible dry electrode and the Ag/AgCl wet electrode. The ECG signals were simutanously collected from the same subject using the SEUECG-100 and Shimmer device , which were then compared and analyzed from the perspective of ECG morphology, RR interval, and signal quality indices (SQI).ResultsThe experimental results reveal that the flexible dry electrode has the characteristics of low skin-electrode impedance. SEUECG-100 could collect high-quality ECG signals. The ECG signals collected by the two devices have a high RR interval correlation (r=0.999). SQI results show that SEUECG-100 is better than the Shimmer device in overcoming baseline drift. Long-term ECG acquisition and storage experiments show that SEUECG-100 could collect ECG signals with good stability and high reliability.ConclusionThe implementation of the proposed system design with dry electrodes could can effectively record long-term ECG monitoring with high quality in comparison to systems with wet electrodes from both impedance characteristics and signal morphology aspects.

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