Left ventricular hypertrophy detection system based on electrocardiogram signal

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
C.W Liu ◽  
R.H Pan ◽  
Y.L Hu
Keyword(s):  
Left Ventricular Hypertrophy ◽  
Decision Tree ◽  
Ventricular Hypertrophy ◽  
Detection System ◽  
Pearson Correlation ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Left Ventricular ◽  
Heart Beat ◽  
Knowledge Engineer

Abstract Background Left ventricular hypertrophy (LVH) is associated with increased risks of cardiovascular diseases. Electrocardiography (ECG) is generally used to screen LVH in general population and electrocardiographic LVH is further confirmed by transthoracic echocardiography (Echo). Purpose We aimed to establish an ECG LVH detection system that was validated by echo LVH. Methods We collected the data of ECGs and Echo from the previous database. The voltage of R- and S-amplitude in each ECG lead were measured twice by a study assistance blinded to the study design, (artificially measured). Another knowledge engineer analyzed row signals of ECG (the algorithm). We firstly check the correlation of R- and S-amplitude between the artificially measured and the algorythm. ECG LVH is defined by the voltage criteria and Echo LVH is defined by LV mass index >115 g/m2 in men and >95 g/m2 in women. Then we use decision tree, k-means, and back propagation neural network (BPNN) with or without heart beat segmentation to establish a rapid and accurate LVH detection system. The ratio of training set to test set was 7:3. Results The study consisted of a sample size of 953 individuals (90% male) with 173 Echo LVH. The R- and S-amplitude were highly correlated between artificially measured and the algorithm R- and S-amplitude regarding that the Pearson correlation coefficient were >0.9 in each lead (the highest r of 0.997 in RV5 and the lowest r of 0.904 in aVR). Without heart beat segmentation, the accuracy of decision tree, k-means, and BPNN to predict echo LVH were 0.74, 0.73 and 0.51, respectively. With heart beat segmentation, the signal of Echo LVH expanded to 1466, and the accuracy to predict ECG LVH were obviously improved (0.92 for decision tree, 0.96 for k-means, and 0.59 for BPNN). Conclusions Our study showed that machine-learning model by BPNN had the highest accuracy than decision trees and k-means based on ECG R- and S-amplitude signal analyses. Figure 1. Three layers of the decision tree Funding Acknowledgement Type of funding source: None

Left Ventricular Hypertrophy

2014 ◽  
Vol 19 (2) ◽  
pp. 11-15
Author(s):  
Steven L. Demeter
Keyword(s):  
Risk Factors ◽  
Left Ventricular Hypertrophy ◽  
Ventricular Hypertrophy ◽  
Left Ventricular Mass Index ◽  
Medical Science ◽  
Careful Analysis ◽  
Left Ventricular ◽  
Hypertensive Disease ◽  
Accurate Analysis ◽  
Clear Explanation

Abstract The fourth, fifth, and sixth editions of the AMA Guides to the Evaluation of Permanent Impairment (AMA Guides) use left ventricular hypertrophy (LVH) as a variable to determine impairment caused by hypertensive disease. The issue of LVH, as assessed echocardiographically, is a prime example of medical science being at odds with legal jurisprudence. Some legislatures have allowed any cause of LVH in a hypertensive individual to be an allowed manifestation of hypertensive changes. This situation has arisen because a physician can never say that no component of LVH was not caused by the hypertension, even in an individual with a cardiomyopathy or valvular disorder. This article recommends that evaluators consider three points: if the cause of the LVH is hypertension, is the examinee at maximum medical improvement; is the LVH caused by hypertension or another factor; and, if apportionment is allowed, then a careful analysis of the risk factors for other disorders associated with LVH is necessary. The left ventricular mass index should be present in the echocardiogram report and can guide the interpretation of the alleged LVH; if not present, it should be requested because it facilitates a more accurate analysis. Further, if the cause of the LVH is more likely independent of the hypertension, then careful reasoning and an explanation should be included in the impairment report. If hypertension is only a partial cause, a reasoned analysis and clear explanation of the apportionment are required.

The association of ankle brachial index with left ventricular hypertrophy and left ventricular mass index: the Dong-gu study

VASA ◽  
2013 ◽  
Vol 42 (4) ◽  
pp. 284-291 ◽  
Author(s):  
Seong-Woo Choi ◽  
Hye-Yeon Kim ◽  
Hye-Ran Ahn ◽  
Young-Hoon Lee ◽  
Sun-Seog Kweon ◽  
...  
Keyword(s):  
Left Ventricular Hypertrophy ◽  
Left Ventricular Mass ◽  
Ventricular Hypertrophy ◽  
Left Ventricular Mass Index ◽  
Ankle Brachial Index ◽  
Intima Media Thickness ◽  
Left Ventricular ◽  
Baseline Survey ◽  
Ventricular Mass Index ◽  
Ventricular Mass

Background: To investigate the association between ankle-brachial index (ABI), left ventricular hypertrophy (LVH) and left ventricular mass index (LVMI) in a general population. Patients and methods: The study population consisted of 8,246 people aged 50 years and older who participated in the baseline survey of the Dong-gu Study conducted in Korea between 2007 and 2010. Trained research technicians measured LV mass using mode M ultrasound echocardiography and ABI using an oscillometric method. Results: After adjustment for risk factors and common carotid artery intima-media thickness (CCA-IMT) and the number of plaques, higher ABIs (1.10 1.19, 1.20 - 1.29, and ≥ 1.30) were significantly and linearly associated with high LVMI (1.10 - 1.19 ABI: β, 3.33; 95 % CI, 1.72 - 4.93; 1.20 - 1.29 ABI: β, 6.51; 95 % CI, 4.02 - 9.00; ≥ 1.30 ABI: β, 14.83; 95 % CI, 6.18 - 23.48). An ABI of 1.10 - 1.19 and 1.20 - 1.29 ABI was significantly associated with LVH (1.10 - 1.19 ABI: OR, 1.35; 95 % CI, 1.19 - 1.53; 1.20 - 1.29 ABI: OR, 1.59; 95 % CI, 1.31 - 1.92) and ABI ≥ 1.30 was marginally associated with LVH (OR, 1.73; 95 % CI, 0.93 - 3.22, p = 0.078). Conclusions: After adjustment for other cardiovascular variables and CCA-IMT and the number of plaques, higher ABIs are associated with LVH and LVMI in Koreans aged 50 years and older.

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