Noninvasive Simultaneous Diagnosis of Multiple Upper Respiratory Tract Diseases using Speech Signal Parameters
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Noninvasive Simultaneous Diagnosis of Multiple Upper Respiratory Tract Diseases Using Speech Signal Parameters S. N. Kirillov1, D. Yu. Mamushev1*, A. N. Kuchurkin2, and E. V. Ban’2
A diagnostic decisionmaking algorithm utilizing speech signal parameters was developed for the diagnosis of combinations of upper respiratory tract diseases such as nasal septum deviation, polypous sinusitis, rhinitis, and tonsillitis. Errors consisting of missing the correct diagnosis (type 1 errors) in the diagnosis of patients with com binations of two diseases, stratified by sex and age, ranged from 7.8% to 17%, while incorrect diagnoses (type 2 errors) occurred in 14.521.5% of cases.
Introduction The need to develop and improve methods for the noninvasive diagnosis of upper respiratory tract (URT) diseases arises from increases in the requirements for standards and the quality of medical services in the Russian Federation, as well as the harmful consequences of late treatment [1]. Remote diagnosis of URT diseases using speech signals (SS) captures a large group of patients, including children in educational institutions, and increases the reliability of decisionmaking in rela tion to the need for medical assessment. A method for making diagnostic decisions based on analysis of SS parameters was suggested for the situation in which patients have combinations of URT diseases such as nasal septum deviation (Nsd), polypous sinusitis (Psn), rhinitis (Rnt), and tonsillitis (Tns). Results obtained from the clinical practice of the diagnosis of URT diseases in the ENT department of N. A. Semashko Regional Clinical Hospital, Ryazan, indicate that in 5 15% of cases a single patient can simultaneously have two diseases, while combinations of three diseases are hardly ever found. This results from the physiology of inflamma tory processes — for example, Nsd is not infrequently accompanied by rhinitis or polypous sinusitis. These cir 1
Ryazan State Radio Engineering University named after V. F. Utkin, Ryazan, Russia; Email: [email protected] 2 N. A. Semashko Regional Clinical Hospital, Ryazan, Russia. * To whom correspondence should be addressed.
cumstances require improvements in diagnostic algo rithms and consideration of the sex and age characteris tics of patients. The aim of the present work was to develop a diag nostic decisionmaking algorithm for patients with com binations of two URT diseases taking account of age and sex differences in patients.
Description of Diagnostic Material and Speech Signal Study Parameters A total of 294 patients (167 men and 127 women) took part in the study. Subjects were 1881 years old and had one or several of the diseases listed above requiring surgery as part of treatment. Patients with these diseases were admitted to the ENT department of the N. A. Semashko Regional Clinical Hospital, Ryazan, for sur gery. Audio recordings (phonograms) were made in a sep arate room screened from external sounds, using a wide band voice recorder with a sampling frequency of 48 kHz and a depth of 24 b
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