10 research outputs found
Automated Risk Identification of Myocardial Infarction Using Relative Frequency Band Coefficient (RFBC) Features from ECG
Get PDFVarious structural and functional changes associated with ischemic (myocardial infarcted) heart cause amplitude and spectral changes in signals obtained at different leads of ECG. In order to capture these changes, Relative Frequency Band Coefficient (RFBC) features from 12-lead ECG have been proposed and used for automated identification of myocardial infarction risk. RFBC features reduces the effect of subject variabilty in body composition on the amplitude dependent features. The proposed method is evaluated on ECG data from PTB diagnostic database using support vector machine as classifier. The promising result suggests that the proposed RFBC features may be used in the screening and clinical decision support system for myocardial infarction
Indoor Air Pollution, Sorbent Selection, and Analytical Techniques for Volatile Organic Compounds
No full textNature and Estimated Human Toxicity of Polar Metabolite Mixtures in Groundwater Quantified as TPHd/DRO at Biodegrading Fuel Release Sites
No full textAn Ambient Agent System Assisting Humans in Complex Tasks by Analysis of a Human’s State and Performance
No full textTechno-economic analysis of integrated processes for the treatment and valorisation of neutral coal mine effluents
No full textPhenotypic characteristics and genetic diversity of rhizobia nodulating soybean in Egyptian soils
No full textEcological niche modeling as a cumulative environmental impact assessment tool for biodiversity assessment and conservation planning: A case study of critically endangered plant Lagerstroemia minuticarpa in the Indian Eastern Himalaya
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