In this paper, we introduce a new index based on the frequency-domain analysis of heart rate variability, or more precisely, the power spectrum of the instant heart rate signal. This index, called VHFI, is defined as ...
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In this paper, we introduce a new index based on the frequency-domain analysis of heart rate variability, or more precisely, the power spectrum of the instant heart rate signal. This index, called VHFI, is defined as the very high frequency component of the power spectrum normalized to represent its relative value in proportion to the total power minus the very low frequency component. We tested VHFI on patients with known reduced left ventricular function and found that this index has the potential to be a useful tool for quick evaluation of left ventricular function.
We developed an automated continuous real-time QTc interval monitoring algorithm for the critical-care setting. The performance of the QT interval measurement algorithm was tested on the PhysioNet adult QT ECG dataset...
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ISBN:
(纸本)1424425328
We developed an automated continuous real-time QTc interval monitoring algorithm for the critical-care setting. The performance of the QT interval measurement algorithm was tested on the PhysioNet adult QT ECG dataset (n=105), and on a pediatric ECG dataset (n=20) and a neonatal dataset (n = 24) recorded from intensive care units. The algorithm performance is measured by sensitivity (the ability to measure the QT interval), and accuracy (the difference between the automated QT measurements and cardiologists' manual annotations). We obtained 92% sensitivity in the adult group, 85% in the pediatric group and 75% in the neonatal group. On the 95 adult cases which had both an algorithm and a cardiologist measurement, the mean difference was 1 ms with a standard deviation of 35 ms. On the pediatric ECGs, the mean difference was -12 ms with a standard deviation of 20 ms. In the neonatal cases, the mean difference was -6 ms with a standard deviation of 12 ms.
We developed an automated continuous real-time QTc interval monitoring algorithm for the critical-care setting. The performance of the QT interval measurement algorithm was tested on the PhysioNet adult QT ECG dataset...
详细信息
We developed an automated continuous real-time QTc interval monitoring algorithm for the critical-care setting. The performance of the QT interval measurement algorithm was tested on the PhysioNet adult QT ECG dataset (n=105), and on a pediatric ECG dataset (n=20) and a neonatal dataset (n=24) recorded from intensive care units. The algorithm performance is measured by sensitivity (the ability to measure the QT interval), and accuracy (the difference between the automated QT measurements and cardiologists' manual annotations). We obtained 92% sensitivity in the adult group, 85% in the pediatric group and 75% in the neonatal group. On the 95 adult cases which had both an algorithm and a cardiologist measurement, the mean difference was 1 ms with a standard deviation of 35 ms. On the pediatric ECGs, the mean difference was -12 ms with a standard deviation of 20 ms. In the neonatal cases, the mean difference was -6 ms with a standard deviation of 12 ms.
The under-recognition, underestimate of area at risk, and under-treatment of ST elevation posterior myocardial infarct in patients with acute coronary syndrome are often due to the insensitive standard 12-lead electro...
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ISBN:
(纸本)1424425328
The under-recognition, underestimate of area at risk, and under-treatment of ST elevation posterior myocardial infarct in patients with acute coronary syndrome are often due to the insensitive standard 12-lead electrocardiographic diagnosis and bias toward "anterior subendocardial ischemia". We designed a new computer algorithm to improve ECG detection of isolated and combined posterior myocardial infarct using extended posterior leads V7, V8 and V9. ECG criteria for PMI include "age" (acute, recent, age indeterminate or old) and "probability" (consider, probable or definite) infarct. Combining the subjects with posterior myocardial infarct (n=182), we obtained an increase of 26 percentage points in sensitivity of posterior myocardial infarction detection from 14% using standard 12-leads to 40% including posterior leads with a small drop in specificity from 98% to 96.4%. The highest increase was seen in a subset of subjects having undergone for PTCA procedure from 21% to 86% (65 percentage points). We conclude the automated posterior myocardial infarct detection algorithm provides another valuable tool for diagnosis of ST elevation posterior myocardial infarct. Posterior leads V7, V8 and V9 can capture ECG changes due to isolated ST elevation PMI or acute myocardial infarct with posterior wall involvement and provide improved sensitivity in posterior myocardial infarct detection.
The under-recognition, underestimate of area at risk, and under-treatment of ST elevation posterior myocardial infarct in patients with acute coronary syndrome are often due to the insensitive standard 12-lead electro...
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ISBN:
(纸本)9781424425327
The under-recognition, underestimate of area at risk, and under-treatment of ST elevation posterior myocardial infarct in patients with acute coronary syndrome are often due to the insensitive standard 12-lead electrocardiographic diagnosis and bias toward "anterior subendocardial ischemia". We designed a new computer algorithm to improve ECG detection of isolated and combined posterior myocardial infarct using extended posterior leads V7, V8 and V9. ECG criteria for PMI include "age" (acute, recent, age indeterminate or old) and "probability" (consider, probable or definite) infarct. Combining the subjects with posterior myocardial infarct (n=182), we obtained an increase of 26 percentage points in sensitivity of posterior myocardial infarction detection from 14% using standard 12-leads to 40% including posterior leads with a small drop in specificity from 98% to 96.4%. The highest increase was seen in a subset of subjects having undergone for PTC A procedure from 21% to 86% (65 percentage points). We conclude the automated posterior myocardial infarct detection algorithm provides another valuable tool for diagnosis of ST elevation posterior myocardial infarct. Posterior leads V7, V8 and V9 can capture ECG changes due to isolated ST elevation PMI or acute myocardial infarct with posterior wall involvement and provide improved sensitivity in posterior myocardial infarct detection.
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