Reduction of Motion Artifacts In Electrocardiogram Monitoring Using an Optical Sensor

Abstract The effectiveness of electrocardiogram (ECG) monitors can be significantly impaired by motion artifacts, which can trigger false alarms, cause misdiagnoses, and lead to inappropriate treatment decisions. Skin stretch associated with patient motion is the most significant source of motion artifacts in current ECG monitoring. In this study, motion artifacts are adaptively filtered by using skin strain as the reference variable, measured noninvasively using an optical sensor incorporated into an ECG electrode. The results demonstrate that this new device and method can significantly reduce motion induced ECG artifacts in continuous ambulatory ECG monitoring.

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System for Continuous and Prolonged Ambulatory ECG Monitoring with Hosting and Visualization on the Cloud

Engineering Proceedings ◽

10.3390/ecsa-8-11326 ◽

2021 ◽

Vol 10 (1) ◽

pp. 57

Author(s):

Daniel Cuevas-González ◽

Juan Pablo García-Vázquez ◽

Miguel Bravo-Zanoguera ◽

Roberto López-Avitia ◽

Marco A. Reyna ◽

...

Keyword(s):

Health Care ◽

Sampling Rate ◽

Cloud Services ◽

Ecg Signal ◽

Ecg Monitoring ◽

Ambulatory Ecg ◽

Ambulatory Ecg Monitoring ◽

Access Information ◽

Electrocardiogram Ecg ◽

Small File

In this paper, we propose investigating the ability to integrate a portable Electrocardiogram (ECG) device to commercial platforms to analyze and visualize information hosted in the cloud. Our ECG system based on the ADX8232 microchip was evaluated regarding its performance of recordings of a synthetic ECG signal for periods of 1, 2, 12, 24, and 36 h on six different cloud services to investigate whether it maintains reliable ECG records. Our results show that there are few cloud services capable of 24 h or longer ECG recordings. But some existing services are limited to small file sizes of less than 1,000,000 lines or 100 MB, or approximately 45 min of an ECG recording at a sampling rate of 360 Hz, making it difficult an extended time monitoring. Cloud platforms reveal some limitations of storage and visualization in order to provide support to health care specialists to access information related to a patient at any time.

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A Systematic Review of Noninvasive Electrocardiogram Monitoring Devices for the Evaluation of Suspected Cardiovascular Syncope

Journal of Medical Devices ◽

10.1115/1.4042795 ◽

2019 ◽

Vol 13 (2) ◽

Cited By ~ 2

Author(s):

Monica Solbiati ◽

Lucia Trombetta ◽

Roberto M. Sacco ◽

Luca Erba ◽

Viviana Bozzano ◽

...

Keyword(s):

Systematic Review ◽

Technological Advancement ◽

Ecg Monitoring ◽

Review Of The Literature ◽

Future Studies ◽

External Loop ◽

Artery Disease ◽

Electrocardiogram Monitoring ◽

Electrocardiogram Ecg ◽

Monitoring Devices

The aims of this study were (1) to identify research publications studying noninvasive electrocardiogram (ECG) monitoring devices, (2) to define and categorize current technology in noninvasive ECG recording, and (3) to discuss desirable noninvasive recording features for personalized syncope evaluation to guide technological advancement and future studies. We performed a systematic review of the literature that assessed noninvasive ECG-monitoring devices, regardless of the reason for monitoring. We performed an Internet search and corresponded with syncope experts and companies to help identify further eligible products. We extracted information about included studies and device features. We found 173 relevant papers. The main reasons for ECG monitoring were atrial fibrillation (n = 45), coronary artery disease (n = 10), syncope (n = 8), palpitations (n = 8), other cardiac diseases (n = 67), and technological aspects of monitoring (n = 35). We identified 198 devices: 5 hospital telemetry devices, 12 patches, 46 event recorders, 70 Holter monitors, 23 external loop recorders, 20 mobile cardiac outpatient telemetries, and 22 multifunctional devices. The features of each device were very heterogeneous. There are a large number of ECG-monitoring devices with different features available in the market. Our findings may help clinicians select the appropriate device for their patients. Since there are only a few published articles analyzing their usefulness in syncope patients, further research might improve their use in this clinical setting.

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Data prediction for cases of incorrect data in multi-node electrocardiogram monitoring

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v12i2.pp1540-1547 ◽

2022 ◽

Vol 12 (2) ◽

pp. 1540

Author(s):

Sugondo Hadiyoso ◽

Heru Nugroho ◽

Tati Latifah Erawati Rajab ◽

Kridanto Surendro

Keyword(s):

Real Data ◽

Ecg Monitoring ◽

Mesh Topology ◽

Regression Imputation ◽

Data Prediction ◽

Zigbee Protocol ◽

Em Method ◽

Electrocardiogram Monitoring ◽

Electrocardiogram Ecg ◽

Incorrect Data

The development of a mesh topology in multi-node electrocardiogram (ECG) monitoring based on the ZigBee protocol still has limitations. When more than one active ECG node sends a data stream, there will be incorrect data or damage due to a failure of synchronization. The incorrect data will affect signal interpretation. Therefore, a mechanism is needed to correct or predict the damaged data. In this study, the method of expectation-maximization (EM) and regression imputation (RI) was proposed to overcome these problems. Real data from previous studies are the main modalities used in this study. The ECG signal data that has been predicted is then compared with the actual ECG data stored in the main controller memory. Root mean square error (RMSE) is calculated to measure system performance. The simulation was performed on 13 ECG waves, each of them has 1000 samples. The simulation results show that the EM method has a lower predictive error value than the RI method. The average RMSE for the EM and RI methods is 4.77 and 6.63, respectively. The proposed method is expected to be used in the case of multi-node ECG monitoring, especially in the ZigBee application to minimize errors.

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TRIMETAZIDINE MR EFFECTS ON THE PARAMETERS OF 24-HOUR ELECTROCARDIOGRAM MONITORING AND HEART RATE VARIABILITY

CARDIOVASCULAR THERAPY AND PREVENTION ◽

10.15829/1728-8800-2013-5-68-74 ◽

2013 ◽

Vol 12 (5) ◽

pp. 68-74

Author(s):

M. V. Novikova ◽

M. G. Glezer

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Stress Test ◽

Ecg Monitoring ◽

Randomised Study ◽

St Segment ◽

Number Of Patients ◽

Stable Coronary Heart Disease ◽

Electrocardiogram Monitoring ◽

Electrocardiogram Ecg

Aim. To assess the effects of the four-month trimetazidine MR therapy on the parameters of 24-hour electrocardiogram (ECG) monitoring and heart rate variability (HRV) in patients with stable coronary heart disease (CHD).Material and methods. This prospective, non-randomised study, with the inclusion of 66 consecutive patients who had stable CHD and stable stress test results, investigated the effects of trimetazidine MR therapy on the parameters of 24-hour ECG monitoring and HRV.Results. Trimetazidine MR did not markedly affect the 24-hour, daytime, or nighttime levels of heart rate. Trimetazidine MR therapy was not associated with any substantial changes in frequency and time-domain HRV parameters or in the incidence of cardiac arrhythmias. However, there was a significant reduction in the number of patients with ST segment depression (from 66,7% to 43,8%; p<0,001) and in the duration of ischemic episodes (from 10 (6,2;21) minutes to 7,42 (5;12,3) minutes (p=0,025)).Conclusion. Adding trimetazidine MR to the treatment of patients with stable CHD provides an additional beneficial antiischemic effect.

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