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ИСПОЛЬЗОВАНИЕ
ХАРАКТЕРИСТИК ПУЛЬСОВОГО СИГНАЛА ЛУЧЕВОЙ АРТЕРИИ В ЗАДАЧЕ ДИФФЕРЕНЦИАЛЬНОЙ
ДИАГНОСТИКИ ОНКОЛОГИЧЕСКИХ И ДОБРОКАЧЕСТВЕННЫХ ЗАБОЛЕВАНИЙ ЛЕГКИХ
А.
А. Десова 1, А. А. Дорофеюк 1, 2, А. М. Анохин 1,
Ю. А. Дорофеюк 1
1 Институт
проблем управления им. В.А.Трапезникова РАН, 117997, Москва, Профсоюзная, 65
2 ФИЦ
«Информатика и управление» РАН, 119333, Москва,
Вавилова, 44-2
Статья поступила в
редакцию 28 июня 2017 г.
Аннотация. Приведены результаты исследования
характеристик пульсового сигнала лучевой артерии применительно к выявлению
онкологических заболеваний легких. Сформировано исходное пространство
признаков, определяемых вариабельностью амплитудных и временных базовых
параметров единичных колебаний сигнала, их взаимными соотношениями, а также
рядом статистических характеристик динамических рядов. Определены наиболее информативные
признаки ритмической структуры пульсового сигнала. Показана возможность и
оценено качество дифференциальной диагностики заболеваний легких.
Ключевые слова: Пульсовой сигнал, дыхательная волна, частота пульса, ритмическая
структура, диагностика, информативный признак.
Abstract. The paper presents the radial artery
pulse signal characteristics analysis results, as applied to the solution of
the tumor (malignant and benign) lungs diseases differential diagnosis problem.
Research conducted on the real pulse signals basis obtained during patients
clinical examinations at the radiology Department of the Sechenov’s Moscow
medical Academy. The research purpose was to evaluate the possibility of the
lung tumors diseases differential diagnosis reliability increasing at the
clinical and radiological examination stage by using additional information
extracted from the radial artery pulse signal characteristics. It is known that
for clinical - radiological examination (without histological studies) the accuracy
of differential diagnosis between central lung cancer and limited pulmonary
fibrosis, as well as between peripheral lung cancer and tuberculoma is not high
enough, which requires the use of additional examination methods. Informative
signs were formed on the basis of values of the oscillatory component
describing the amplitude and time base variability of the pulse signal basic
period parameters, their mutual relations, and also a number of their
statistical characteristics. The features informative value evaluation and the
decision rule construction for investigated diseases differential diagnosis was
carried out using pattern recognition algorithms. The peripheral pulse signal
was measured on the radial artery of the patient's right hand using an optoelectronic
pulse signal sensor. The analyzed dataset classification (90 vectors on
"learning" and 50 vectors on the "exam") quality
recognition amounted to 89.5% of correct decisions for first class (malignant
diseases) and 78% for second class (benign diseases). As a classification
criterion the clinical diagnoses were used, in some cases confirmed by the
results of histological studies. The diagnostic consider method does not
require instrumental intervention, the use of expensive reagents, has no contraindications
and excludes the radiation loads. The method is relatively fast, not traumatic,
and allows simple and efficient differential diagnosis, regardless of the
location of the pathological formation and its size. The obtained results
indicate the diagnostic efficiency of the radial artery pulse signal rhythmic
structure using during clinical and pre-hospital examinations of pulmonological
patients. The method can be used as a population screening test in order to
identify a predisposition to malignant pathology.
Key words: Pulse signal, respiratory wave, pulse
rate, rhythm structure, diagnostics, informative sign.
Ссылка
на статью:
А. А. Десова, А.
А. Дорофеюк, А. М. Анохин, Ю. А. Дорофеюк. Использование характеристик
пульсового сигнала лучевой артерии в задаче дифференциальной диагностики
онкологических и доброкачественных заболеваний легких. Журнал радиоэлектроники
[электронный журнал]. 2017. №7. Режим доступа: http://jre.cplire.ru/jre/jul17/9/text.pdf