使用WDFR算法和自适应阈值确定R峰值

Q3 Economics, Econometrics and Finance Applied Computer Science Pub Date : 2022-09-30 DOI:10.35784/acs-2022-18
Thanh-Nghia Nguyen, Thanh-Hai Nguyen, Ba-Viet Ngo
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引用次数: 1

摘要

心电信号中R峰位置的确定不仅可以帮助医生了解每分钟的心率,还可以监测患者与心脏病相关的健康状况。本文提出了一种准确确定心电信号中R峰位置的系统。该系统包括一个预处理块,用于使用WDFR算法滤除噪声并突出显示R峰值的幅度,并计算用于确定R峰值的阈值。在本研究中,使用MIT-BIH心电图数据集的48条记录对系统进行评估。与系统质量相关的SEN、+P、DER和ACC参数分别为99.70%、99.59%、0.70%和99.31%。所提出的R峰定位系统具有很高的性能,可用于实际心电信号测量设备的R峰定位。
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R PEAK DETERMINATION USING A WDFR ALGORITHM AND ADAPTIVE THRESHOLD
The determination of the R peak position in the ECG signal helps physicians not only to know the heart rate per minute, but also to monitor the patient’s health related to heart disease. This paper proposes a system to accurately determine the R peak position in the ECG signal. The system consists of a pre-processing block for filtering out noise using a WDFR algorithm and highlighting the amplitude of the R peak and a threshold value is calculated for determining the R peak. In this research, the MIT-BIH ECG dataset with 48 records are used for evaluation of the system. The results of the SEN, +P, DER and ACC parameters related to the system quality are 99.70%, 99.59%, 0.70% and 99.31%, respectively. The obtained performance of the proposed R peak position determination system is very high and can be applied to determine the R peak of the ECG signal measuring devices in practice.
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来源期刊
Applied Computer Science
Applied Computer Science Engineering-Industrial and Manufacturing Engineering
CiteScore
1.50
自引率
0.00%
发文量
0
审稿时长
8 weeks
期刊最新文献
COMPARISON AND EVALUATION OF LMS-DERIVED ALGORITHMS APPLIED ON ECG SIGNALS CONTAMINATED WITH MOTION ARTIFACT DURING PHYSICAL ACTIVITIES OPTIMIZING UNMANNED AERIAL VEHICLE BASED FOOD DELIVERY THROUGH VEHICLE ROUTING PROBLEM: A COMPARATIVE ANALYSIS OF THREE DELIVERY SYSTEMS. FILTERING STRATEGIES FOR SMARTPHONE EMITTED DIGITAL SIGNALS ENHANCING MEDICAL DATA SECURITY IN E-HEALTH SYSTEMS USING BIOMETRIC-BASED WATERMARKING ANALYZING THE ROLE OF COMPUTER SCIENCE IN SHAPING MODERN ECONOMIC AND MANAGEMENT PRACTICES. BIBLIOMETRIC ANALYSIS
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