Heart Sounds Biometric System
نویسندگان
چکیده
منابع مشابه
Heart Sounds Biometric System
This paper presents design of system for access control using heart sound biometric signature based on energy percentage in each wavelet coefficients and MFCC feature. A collection of 40 heart sounds records for different persons from internet, for each recording signatures were calculated during two heart cycles after denoising of each recording. A Euclidean distance is used as classification ...
متن کاملA System for Heart Sounds Classification
The future of quick and efficient disease diagnosis lays in the development of reliable non-invasive methods. As for the cardiac diseases - one of the major causes of death around the globe - a concept of an electronic stethoscope equipped with an automatic heart tone identification system appears to be the best solution. Thanks to the advancement in technology, the quality of phonocardiography...
متن کاملA Hybrid Model of Heart Anomalies Detection by Processing Heart Sounds
Introduction: Different factors are effective in detecting heart abnormalities. The greater the number of these factors, the greater the uncertainty in the detection of heart abnormalities. In the uncertainty condition in response of prediction model, the fuzzy systems are one of the most effective methods for generating an acceptable response. Method: In this applied study, 3240 records rela...
متن کاملA Hybrid Model of Heart Anomalies Detection by Processing Heart Sounds
Introduction: Different factors are effective in detecting heart abnormalities. The greater the number of these factors, the greater the uncertainty in the detection of heart abnormalities. In the uncertainty condition in response of prediction model, the fuzzy systems are one of the most effective methods for generating an acceptable response. Method: In this applied study, 3240 records rela...
متن کاملHeart Sound Biometric System Based on Marginal Spectrum Analysis
This work presents a heart sound biometric system based on marginal spectrum analysis, which is a new feature extraction technique for identification purposes. This heart sound identification system is comprised of signal acquisition, pre-processing, feature extraction, training, and identification. Experiments on the selection of the optimal values for the system parameters are conducted. The ...
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ژورنال
عنوان ژورنال: Journal of Biomedical Engineering and Medical Devices
سال: 2017
ISSN: 2475-7586
DOI: 10.4172/2475-7586.1000129