TY - JOUR
AU - Хвостівська, Л. В.
AU - Осухівська, Г. М.
AU - Хвостівський, М. О.
AU - Шадріна, Г. М.
AU - Дедів, І. Ю.
PY - 2019/12/30
Y2 - 2024/08/12
TI - Development of methods and algorithms for a stochastic biomedical signal period calculation in medical computer diagnostic systems
JF - Visnyk NTUU KPI Seriia - Radiotekhnika Radioaparatobuduvannia
JA - RADAP
VL -
IS - 79
SE -
DO - 10.20535/RADAP.2019.79.78-84
UR - https://radap.kpi.ua/radiotechnique/article/view/1601
SP - 78-84
AB - <p>An method and algorithm for a stochastic biomedical signal period calculation is developed, which characterized by high resolution and performance, suitable for using in biomedical computer diagnostic systems. The method and algorithm is implemented on the basis of determination a minimum of a centered biomedical signal mean values functional variation procedure. The results of existing algorithms operation for biomedical signals period calculation by known methods based on: averaging of time intervals between a biosignal realization maximum values, averaging of intervals between a biosignal amplitude spectra maximum values, averaging of time intervals between a biosignal autocorrelation function maximum values and averaging of time intervals between maximum values of a power spectral density are analyzed. The calculation results obtained by different methods differ, which in turn leads to ambiguous results of the biomedical signal processing.</p><p>Algorithmic and software designed to calculate the stochastic biomedical signal period makes it possible to reduce the calculation estimates blur in medical computer diagnostic systems, because, unlike the known methods, the developed one has a small scatter of the standard deviation at the biomedical signal ensemble realizations synchronization and lower algorithmic complexity, which leads to calculations performance increasing.</p><p>The software is implemented in the Matlab environment.</p><p>The developed algorithm verification procedure is carried out by means of simulation. The verification results 100% confirmed the accuracy of a priori known test signal period determination.</p>
ER -