Can atrial lead system ameliorate the diagnosis of atrial arrhythmias?

被引:1
作者
Venkatesh, N. Prasanna [1 ]
Kumar, R. Pradeep [2 ]
Neelapu, Bala Chakravarthy [1 ]
Pal, Kunal [1 ]
Sivaraman, J. [1 ,3 ]
机构
[1] Natl Inst Technol Rourkela, Dept Biotechnol & Med Engn, Rourkela 769008, Odisha, India
[2] MIOT Int, Inst Cardiac Care, Chennai 600089, Tamil Nadu, India
[3] Natl Inst Technol Rourkela, Dept Biotechnol & Med Engn, Biosignals & Med Instrumentat Lab, Rourkela 769008, Odisha, India
关键词
Atrial arrhythmias; Atrial activity enhancement; Atrial lead system; Electrocardiogram; Signal quality assessment; FREQUENCY-ANALYSIS; ISCHEMIC-STROKE; ECG LEAD; P-WAVE; FIBRILLATION; ACCURACY; ELECTROCARDIOGRAM;
D O I
10.1016/j.mehy.2024.111280
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
The diagnosis of atrial arrhythmia is problematic due to low signal voltage and susceptibility to noise and artifacts. Electrocardiogram (ECG) is a commonly used, cost-effective tool for diagnosing cardiac arrhythmias. However, detecting certain waves, such as P and f-waves, in a standard 12-lead ECG is still challenging and frequently cause false positive diagnoses of atrial arrhythmias. Therefore, improving the quality of ECG signals is crucial to minimize false positives and enhance the accuracy of diagnosis. To address this issue, recent studies have explored optimizing lead configurations to improve signal strength and noise resistance for smart and mobile health (mHealth) applications. In this work, we hypothesized that using the newly developed Atrial Lead System (ALS) with an optimal lead configuration could improve the signal quality of ECGs, leading to a better diagnosis of atrial arrhythmias. To test our hypothesis, we recorded 1-minute ECGs from individuals with Normal Sinus Rhythm (NSR) and various atrial arrhythmias, including Atrial Fibrillation (AF), Atrial Flutter (AFL), and Left Atrial Enlargement (LAE). We compared the ECG data obtained from the lead-II of the Standard Limb Lead system (SLL-II) with the leads of ALS (AL-I and AL-II). From each sample in the NSR and AF groups, we computed the atrial characteristic features, Atrioventricular amplitude ratio (A/Vpp ratio), and the PR and RR intervals. Statistical analysis, correlation analysis, and reliability analysis using Bland-Alman plots were performed to assess the significance of the findings. The results showed significant differences in amplitude, duration, area, and A/Vpp ratio between the NSR and AF populations when comparing SLL-II, AL-I, and AL-II. To further validate the enhancement in signal quality, we analyzed the Signal-to-Noise Ratio (SNR) by calculating the ratio of atrial amplitude (AA) to the root mean square value of high-frequency noise (gamma HFN). The analysis revealed a significant improvement in AA and SNR (AA/gamma HFN) when using AL-I and AL-II than SLL-II for both NSR and AF conditions. Correlation analysis and Bland-Alman plots confirmed the reliability of the signal quality enhancement provided by ALS with SLL-II. The results of this work showed that the amplitude of atrial activity from the optimized lead placement in ALS is nearly twice that of SLL-II. The findings of the proposed hypothesis may influence diagnostics specialists to implement the optimized lead configuration of ALS in long-term, ambulatory, telemetric, and mHealth devices for enhanced monitoring and reliable diagnosis of different atrial arrhythmias.
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页数:9
相关论文
共 38 条
[1]  
Alcaraz R., 2006, Comput. Cardiol, V2006, P597
[2]   Development and validation of an integrated portable heart rate variability (HRV) analysis system - STREME [J].
Arvind, S. ;
Maheshkumar, K. ;
Vaishali, S. ;
Lavanya, S. ;
Padmavathi, R. .
MEDICAL HYPOTHESES, 2020, 143
[3]   Improvements in atrial fibrillation detection for real-time monitoring [J].
Babaeizadeh, Saeed ;
Gregg, Richard E. ;
Helfenbein, Eric D. ;
Lindauer, James M. ;
Zhou, Sophia H. .
JOURNAL OF ELECTROCARDIOLOGY, 2009, 42 (06) :522-526
[4]   A Holistic Overview of Artificial Intelligence in Detection, Classification and Prediction of Atrial Fibrillation Using Electrocardiogram: A Systematic Review and Meta-analysis [J].
Bhardwaj, Arya ;
Budaraju, Dhananjay ;
Venkatesh, Prasanna ;
Chowdhury, Dibya ;
Kumar, R. Pradeep ;
Pal, Kunal ;
Sivaraman, J. ;
Neelapu, Bala Chakravarthy .
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING, 2023, 30 (07) :4063-4079
[5]   Statistical methods for assessing agreement between two methods of clinical measurement [J].
Bland, J. Martin ;
Altman, Douglas G. .
INTERNATIONAL JOURNAL OF NURSING STUDIES, 2010, 47 (08) :931-936
[6]   Frequency analysis of human atrial fibrillation using the surface electrocardiogram and its response to ibutilide [J].
Bollmann, A ;
Kanuru, NK ;
McTeague, KK ;
Walter, PF ;
DeLurgio, DB ;
Langberg, JJ .
AMERICAN JOURNAL OF CARDIOLOGY, 1998, 81 (12) :1439-1445
[7]   Clinical impact of left atrial enlargement in Korean patients with atrial fibrillation [J].
Cho, Min Soo ;
Park, Hyoung-Seob ;
Cha, Myung-Jin ;
Lee, So-Ryoung ;
Park, Jin-Kyu ;
Kim, Tae-Hoon ;
Lee, Jung Myung ;
Park, Junbeom ;
Park, Hyung Wook ;
Kang, Ki-Woon ;
Shim, Jaemin ;
Uhm, Jae-Sun ;
Kim, Jin-Bae ;
Kim, Changsoo ;
Lee, Young Soo ;
Choi, Eue-Keun ;
Joung, Boyoung ;
Kim, Jun .
SCIENTIFIC REPORTS, 2021, 11 (01)
[8]   Automatic Real Time Detection of Atrial Fibrillation [J].
Dash, S. ;
Chon, K. H. ;
Lu, S. ;
Raeder, E. A. .
ANNALS OF BIOMEDICAL ENGINEERING, 2009, 37 (09) :1701-1709
[9]   Detection of Paroxysmal Atrial Fibrillation by 30-Day Event Monitoring in Cryptogenic Ischemic Stroke The Stroke and Monitoring for PAF in Real Time (SMART) Registry [J].
Flint, Alexander C. ;
Banki, Nader M. ;
Ren, Xiushui ;
Rao, Vivek A. ;
Go, Alan S. .
STROKE, 2012, 43 (10) :2788-2790
[10]  
Goldberger AL, 2018, Chapter 15 - Supraventricular arrhythmias, part ii: atrial flutter and atrial fibrillation, P144, DOI [10.1016/B978-0-323-40169-2.00015-9, DOI 10.1016/B978-0-323-40169-2.00015-9]