Czasopismo | ELEKTRONIKA - KONSTRUKCJE, TECHNOLOGIE, ZASTOSOWANIA | Rocznik 2012 - zeszyt 5

Wheezes recognition method with tonal index descriptor

nr katalogowy: 67416

The lungs auscultation is a non invasive test in pulmonary diseases like asthma or COPD (Chronic Obstructive Pulmonary Disease). Such test is a main source of information about the patient’s condition. During auscultation, medical doctors can evaluate the appearance of wheezes in the breath cycle. Unfortunately, such test is strongly subjective and the diagnose strongly depends on the doctor’s experience or even his hearing abilities. The advantage of digital recognition of lungs auscultation is that every appearance of wheezes in breath cycle is described as a number. The result of such test is an objective value and can be unambiguously interpreted. The test can be performed by an inexperienced person or even by the patient himself. These advantages allow to use this technology in telemedicine. Medical doctor can see the results of every test without necessity of direct meeting. Such solutions causes that the patient do not have to go to the hospital as often as in traditional asthma monitoring. It increases the comfort of patient’s life and decreases stress of direct meetings with medical doctors. In this paper the Tonal Index (TI) [1] used in MPEG-audio codec is used as a feature to wheezes recognition. The TI is compared with the other features taken from literature: Kurtosis (K), Frequency Ratio (FR) [2], Spectral Peaks Entropy [3] (SPE) and Spectral Flatness [4] (SF). The modified Frequency Ratio called Energy Ratio (ER) is compared as well. The results of multi dimensional recognition using sets of a few features is presented also. For recognition the SVM (Support Vector Machine) classifier was used and it was applied on artificial and real data, recorded by us and obtained from the Internet [5-7]. The research reported in this paper is a continuation of study described in article “Application of Tonal Index to Pulmonary Wheezes Detection in Asthma Monitoring", presented at the EUSIPCO 2011 co[...]

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e-Publikacja (format pdf) - nr 67416 "Wheezes recognition metho..." licencja: Osobista Produkt cyfrowy	10.00 zł

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2012-5

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