REAL TIME REGISTRATION OF THE ELECTROPHYSIOLOGICAL SIGNALS SPECTRA

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Scientific and Technical Journal of Information Technologies, Mechanics and Optics 2014, №1 (89)

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615.47, 616-71, 004. 383.3

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-ɉɟɬɟɪɛɭɪɝɫɤɢɣ ɧɚɰɢɨɧɚɥɶɧɵɣ ɢɫɫɥɟɞɨɜɚɬɟɥɶɫɤɢɣ ɭɧɢɜɟɪɫɢɬɟɬ ɢɧɮɨɪɦɚɰɢɨɧɧɵɯ ɬɟɯɧɨɥɨɝɢɣ, ɦɟɯɚɧɢɤɢ ɢ ɨɩɬɢɤɢ, ɋɚɧɤɬ-ɉɟɬɟɪɛɭɪɝ, Ɋɨɫɫɢɹ,PYBY@inbox.ru

Ɋɚɫɫɦɚɬɪɢɜɚɸɬɫɹɩɪɨɛɥɟɦɵɩɨɥɭɱɟɧɢɹɫɩɟɤɬɪɨɜɷɥɟɤɬɪɨɮɢɡɢɨɥɨɝɢɱɟɫɤɢɯɫɢɝɧɚɥɨɜ, ɡɚɜɢɫɢɦɨɫɬɢɪɟɡɭɥɶɬɚɬɚɞɢɚɝɧɨ -ɫɬɢɤɢɨɬɡɚɲɭɦɥɟɧɧɨɫɬɢɞɚɧɧɵɯɢɤɜɚɥɢɮɢɤɚɰɢɢɷɤɫɩɟɪɬɚ. Ɋɚɡɪɚɛɨɬɚɧɦɨɞɭɥɶɨɰɟɧɤɢɚɦɩɥɢɬɭɞɧɨ-ɱɚɫɬɨɬɧɵɯɫɩɟɤ -ɬɪɨɜɛɢɨɫɢɝɧɚɥɨɜɜɪɟɚɥɶɧɨɦɜɪɟɦɟɧɢ. ɉɪɢɜɨɞɢɬɫɹɨɛɳɚɹɫɯɟɦɚɩɨɞɤɥɸɱɟɧɢɹɢɡɦɟɪɢɬɟɥɶɧɨɝɨɦɨɞɭɥɹɤɫɩɟɤɬɪɨɚɧɚ -ɥɢɡɚɬɨɪɭɜɫɨɫɬɚɜɟɦɧɨɝɨɮɭɧɤɰɢɨɧɚɥɶɧɨɝɨɞɢɚɝɧɨɫɬɢɱɟɫɤɨɝɨɤɨɦɩɥɟɤɫɚ. Ɇɨɞɭɥɶɪɟɚɥɢɡɨɜɚɧɧɚɛɚɡɟɦɢɧɢɤɨɦɩɶɸɬɟ -ɪɚ Cubieboard A20. Ɉɫɭɳɟɫɬɜɥɹɟɬɫɹɧɟɩɪɟɪɵɜɧɨɟ ɪɚɡɥɨɠɟɧɢɟɫɢɝɧɚɥɨɜ (ɞɨ 32 ɤɚɧɚɥɨɜ) ɧɚɮɪɚɝɦɟɧɬɵ ɪɚɜɧɨɣ ɩɪɨ -ɞɨɥɠɢɬɟɥɶɧɨɫɬɢ ɢ ɢɯ ɧɟɡɚɜɢɫɢɦɚɹ ɦɚɬɟɦɚɬɢɱɟɫɤɚɹ ɨɛɪɚɛɨɬɤɚɩɨ ɤɚɠɞɨɦɭ ɢɡɦɟɪɢɬɟɥɶɧɨɦɭ ɤɚɧɚɥɭ. ɉɪɟɞɥɨɠɟɧɧɨɟ ɭɫɬɪɨɣɫɬɜɨɩɨɡɜɨɥɹɟɬɚɧɚɥɢɡɢɪɨɜɚɬɶɞɢɧɚɦɢɤɭɢɡɦɟɧɟɧɢɣɫɩɟɤɬɪɚɜɪɟɚɥɶɧɨɦɜɪɟɦɟɧɢ.

юч : ɫɩɟɤɬɪɚɥɶɧɵɣɚɧɚɥɢɡ, ɷɧɰɟɮɚɥɨɝɪɚɮ, ɮɢɡɢɨɥɨɝɢɱɟɫɤɢɟɫɢɝɧɚɥɵ, ɧɟɫɬɚɰɢɨɧɚɪɧɵɟɫɢɝɧɚɥɵ, ɞɢɚɝ -ɧɨɫɬɢɱɟɫɤɢɣɤɨɦɩɥɟɤɫ.

REAL TIME REGISTRATION OF THE ELECTROPHYSIOLOGICAL SIGNALS SPECTRA2

D. Tolkovichb, E. Andrianovab b

Saint Petersburg National Research University of Information Technologies, Mechanics and Optics, Saint Petersburg, Rus-sia, PYBY@inbox.ru

The paper deals with the issues of spectra acquisition for the electrophysiological signals, diagnostics result dependence on the noise level and expert’s qualification. A real-time module for amplitude-frequency spectra estimation of electrophysiological signals is designed. A general diagram of connection between measuring module and spectrum analyzer (as a part of multifunc-tional diagnostic system) is shown. The module is realized on the base of Cubieboard A20 minicomputer. It provides continuous decomposition of signals (up to 32 channels) into fragments of equal length and their independent mathematical processing for each measuring channel. The suggested device makes it possible to analyze the real-time dynamics of spectrum changes.

Keywords: spectral analysis, EEG, physiological signals, non-stationary signals, diagnostic complex.

Ⱦɥɹɨɰɟɧɤɢɮɢɡɢɨɥɨɝɢɱɟɫɤɨɝɨ ɫɨɫɬɨɹɧɢɹɱɟɥɨɜɟɤɚɢɫɩɨɥɶɡɭɸɬɪɚɡɥɢɱɧɵɟɦɟɬɨɞɵɪɟɝɢɫɬɪɚɰɢɢɛɢɨ

-ɥɨɝɢɱɟɫɤɢɯ ɫɢɝɧɚɥɨɜ. Ʉ ɷɥɟɤɬɪɨɮɢɡɢɨɥɨɝɢɱɟɫɤɢɦ ɫɢɝɧɚɥɚɦ ɨɬɧɨɫɹɬɫɹ ɷɥɟɤɬɪɨɷɧɰɟɮɚɥɨɝɪɚɦɦɚ,

ɷɥɟɤɬɪɨɤɚɪ-ɞɢɨɝɪɚɦɦɚ, ɷɥɟɤɬɪɨɦɢɨɝɪɚɦɦɚ ɢ ɬ.ɞ. ɋɨɜɪɟɦɟɧɧɵɟ ɩɪɢɛɨɪɵ ɫɩɨɫɨɛɧɵ ɫɨɯɪɚɧɹɬɶ ɢ ɜɢɡɭɚɥɢɡɢɪɨɜɚɬɶ

ɡɚɪɟɝɢ-ɫɬɪɢɪɨɜɚɧɧɵɟɫɢɝɧɚɥɵ, ɨɛɪɚɛɚɬɵɜɚɬɶɢɯɜɪɟɠɢɦɟɪɟɚɥɶɧɨɝɨɜɪɟɦɟɧɢ (ɧɚɤɨɩɥɟɧɢɟ, ɭɫɢɥɟɧɢɟ, ɮɢɥɶɬɪɚɰɢɹɢ

ɬ.ɞ.). Ɋɹɞɩɪɢɛɨɪɨɜɨɛɟɫɩɟɱɢɜɚɟɬɜɨɡɦɨɠɧɨɫɬɶɦɚɬɟɦɚɬɢɱɟɫɤɨɣ ɩɨɫɬɨɛɪɚɛɨɬɤɢɫɢɝɧɚɥɚ (ɜɱɚɫɬɧɨɫɬɢ, ɫɩɟɤ

-ɬɪɚɥɶɧɵɣ ɚɧɚɥɢɡ), ɨɞɧɚɤɨ ɪɟɡɭɥɶɬɚɬ ɟɟ ɢɫɩɨɥɶɡɨɜɚɧɢɹ ɫɭɳɟɫɬɜɟɧɧɨ ɡɚɜɢɫɢɬ ɨɬ ɤɜɚɥɢɮɢɤɚɰɢɢ ɩɟɪɫɨɧɚɥɚ.

Ɉɫɧɨɜɧɨɣ ɩɪɢɱɢɧɨɣ ɨɬɫɭɬɫɬɜɢɹ ɜ ɩɪɢɛɨɪɚɯ ɞɚɧɧɨɝɨ ɤɥɚɫɫɚ ɜɢɡɭɚɥɢɡɚɰɢɢ ɫɩɟɤɬɪɨɜ ɜ ɪɟɠɢɦɟ ɪɟɚɥɶɧɨɝɨ

ɜɪɟɦɟɧɢɹɜɥɹɟɬɫɹɫɥɨɠɧɚɹɩɪɢɪɨɞɚɛɢɨɫɢɝɧɚɥɚ, ɯɚɪɚɤɬɟɪɢɡɭɸɳɟɝɨɫɹɧɚɥɢɱɢɟɦɩɨɦɟɯ (ɲɭɦɨɜ) ɮɢɡɢɨɥɨɝɢ

-ɱɟɫɤɨɝɨɢɢɧɫɬɪɭɦɟɧɬɚɥɶɧɨɝɨɩɪɨɢɫɯɨɠɞɟɧɢɹ, ɡɚɬɪɭɞɧɹɸɳɢɯɤɚɱɟɫɬɜɟɧɧɵɣɚɧɚɥɢɡɫɢɝɧɚɥɚ.

ɋɩɟɤɬɪɚɥɶɧɵɣ ɚɧɚɥɢɡ ɜ ɮɢɡɢɨɥɨɝɢɱɟɫɤɢɯ ɢɫɫɥɟɞɨɜɚɧɢɹɯ ɜɵɩɨɥɧɹɟɬɫɹ ɫɥɟɞɭɸɳɢɦ ɨɛɪɚɡɨɦ:

ɢɫɫɥɟ-ɞɨɜɚɬɟɥɶ ɫ ɭɱɟɬɨɦ ɫɜɨɟɝɨ ɨɩɵɬɚ ɜɵɞɟɥɹɟɬ ɮɪɚɝɦɟɧɬɵ, ɢɦɟɸɳɢɟ ɜɢɞɢɦɵɟ ɢɡɦɟɧɟɧɢɹɡɚɪɟɝɢɫɬɪɢɪɨɜɚɧɧɨɝɨ

ɩɪɢɛɨɪɨɦɫɢɝɧɚɥɚ, ɞɥɹɩɨɫɥɟɞɭɸɳɟɝɨɚɧɚɥɢɡɚ. ɗɬɨɬɩɪɨɰɟɫɫɜɨ ɦɧɨɝɨɦɡɚɜɢɫɢɬɨɬɦɚɫɬɟɪɫɬɜɚɷɤɫɩɟɪɬɚ,

ɬɚɤɤɚɤɮɢɡɢɨɥɨɝɢɱɟɫɤɢɣɛɢɨɫɢɝɧɚɥɢɦɟɟɬɫɥɨɠɧɭɸɮɨɪɦɭɢɹɜɥɹɟɬɫɹɤɨɦɩɨɡɢɰɢɟɣɧɟɫɤɨɥɶɤɢɯɫɢɝɧɚɥɨɜ

ɫ ɪɚɡɥɢɱɧɵɦɢ ɚɦɩɥɢɬɭɞɧɨ-ɱɚɫɬɨɬɧɵɦɢ ɯɚɪɚɤɬɟɪɢɫɬɢɤɚɦɢ [1, 2]. ɋɩɟɤɬɪɚɥɶɧɵɣ ɚɧɚɥɢɡ ɩɨɡɜɨɥɹɟɬ ɨɰɟɧɢɬɶ

ɢɡɦɟɧɟɧɢɟ ɚɦɩɥɢɬɭɞɧɨ-ɱɚɫɬɨɬɧɵɯ ɯɚɪɚɤɬɟɪɢɫɬɢɤ ɮɢɡɢɨɥɨɝɢɱɟɫɤɨɝɨ ɫɢɝɧɚɥɚ ɩɪɢ ɢɡɦɟɧɟɧɢɢ ɜɧɟɲɧɢɯ

ɜɨɡɞɟɣɫɬɜɢɣ ɜ ɪɚɡɥɢɱɧɵɟ ɦɨɦɟɧɬɵ ɜɪɟɦɟɧɢ [3–5].

Ɉɫɨɛɟɧɧɨɫɬɶɸɮɢɡɢɨɥɨɝɢɱɟɫɤɢɯɫɢɝɧɚɥɨɜɹɜɥɹɟɬɫɹɬɨ, ɨɧɢɦɨɝɭɬɢɦɟɬɶɡɧɚɱɢɬɟɥɶɧɭɸɩɪɨɞɨɥɠɢ

-ɬɟɥɶɧɨɫɬɶ ɢ ɪɚɫɩɨɥɚɝɚɬɶɫɹ ɜ ɧɢɡɤɨɱɚɫɬɨɬɧɨɣ ɨɛɥɚɫɬɢ ɫɩɟɤɬɪɚ (ɨɬ 0,01 Ƚɰ ɞɨ 150 Ƚɰ). ɗɬɨ ɜɵɡɵɜɚɟɬ

ɫɥɨɠ-ɧɨɫɬɢ ɩɪɢ ɢɯ ɪɟɝɢɫɬɪɚɰɢɢ ɢ ɩɨɫɥɟɞɭɸɳɟɣ ɦɚɬɟɦɚɬɢɱɟɫɤɨɣ ɨɛɪɚɛɨɬɤɟ [1]. Ⱦɚɧɧɚɹ ɩɪɨɛɥɟɦɚ ɦɨɠɟɬ ɛɵɬɶ

ɪɟɲɟɧɚɪɚɡɥɢɱɧɵɦɢɦɟɬɨɞɚɦɢ, ɧɚɩɪɢɦɟɪ, ɦɟɬɨɞɨɦ «ɜɵɡɜɚɧɧɵɯ ɩɨɬɟɧɰɢɚɥɨɜ», ɜ ɤɨɬɨɪɨɦ ɞɥɹ

ɩɨɫɥɟɞɭɸ-ɳɟɝɨ ɚɧɚɥɢɡɚ ɢɫɫɥɟɞɨɜɚɬɟɥɟɦ ɜɵɞɟɥɹɸɬɫɹ ɮɪɚɝɦɟɧɬɵ ɫɢɝɧɚɥɚ ɨɩɪɟɞɟɥɟɧɧɨɣ ɞɥɢɬɟɥɶɧɨɫɬɢ (ɧɚɩɪɢɦɟɪ,

500 ɦɫ). Ɏɪɚɝɦɟɧɬɵ ɫɢɝɧɚɥɚ, ɨɤɚɡɚɜɲɢɟɫɹ ɡɚ ɝɪɚɧɢɰɟɣ ɜɵɞɟɥɟɧɢɹ, ɚɧɚɥɢɡɭ ɧɟ ɩɨɞɜɟɪɝɚɸɬɫɹ.

ɂɫɩɨɥɶɡɨɜɚɧɢɟ ɫɩɟɤɬɪɨɚɧɚɥɢɡɚɬɨɪɚ ɞɥɹ ɨɛɪɚɛɨɬɤɢ ɷɥɟɤɬɪɨɮɢɡɢɨɥɨɝɢɱɟɫɤɢɯ ɫɢɝɧɚɥɨɜ ɜ ɪɟɠɢɦɟ

ɪɟɚɥɶɧɨɝɨ ɜɪɟɦɟɧɢ ɩɨɡɜɨɥɢɬ ɧɚɛɥɸɞɚɬɶ ɞɢɧɚɦɢɤɭ ɢɡɦɟɧɟɧɢɹ ɫɩɟɤɬɪɨɜ, ɜɢɡɭɚɥɢɡɢɪɨɜɚɬɶ ɩɨɥɭɱɟɧɧɵɟ

ɞɚɧɧɵɟɨɫɩɟɤɬɪɟ, ɚɬɚɤɠɟɫɨɯɪɚɧɹɬɶɢɜɞɚɥɶɧɟɣɲɟɦɜɨɫɩɪɨɢɡɜɨɞɢɬɶɢɯɩɪɢɩɨɫɥɟɞɭɸɳɢɯɢɫɫɥɟɞɨɜɚɧɢ

-ɹɯ. ȼ ɧɚɫɬɨɹɳɟɣ ɪɚɛɨɬɟ ɩɪɟɞɥɚɝɚɟɬɫɹ ɢɫɩɨɥɶɡɨɜɚɬɶ ɫɩɟɤɬɪɨɚɧɚɥɢɡɚɬɨɪ ɜ ɤɚɱɟɫɬɜɟ ɤɨɦɩɨɧɟɧɬɚ

ɢɧɮɨɪɦɚ-ɰɢɨɧɧɨ-ɢɡɦɟɪɢɬɟɥɶɧɨɝɨ ɤɨɦɩɥɟɤɫɚ [6] ɞɥɹ ɪɟɝɢɫɬɪɚɰɢɢ ɛɢɨɫɢɝɧɚɥɨɜ ɩɪɢ ɢɫɫɥɟɞɨɜɚɧɢɢ ɧɚɩɪɹɠɟɧɧɨɣ

ɧɟɪɜɧɨɣ ɞɟɹɬɟɥɶɧɨɫɬɢ. Ɇɨɞɭɥɶ ɨɛɪɚɛɨɬɤɢ ɫɩɟɤɬɪɨɜ ɩɪɟɞɫɬɚɜɥɹɟɬ ɫɨɛɨɣ ɦɢɧɢɤɨɦɩɶɸɬɟɪ Cubieboard 20 ɫɨ

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ɊɚɛɨɬɚɜɵɩɨɥɧɟɧɚɜɪɚɦɤɚɯɪɟɚɥɢɡɚɰɢɢɎɐɉ «ɇɚɭɱɧɵɟɢɧɚɭɱɧɨ-ɩɟɞɚɝɨɝɢɱɟɫɤɢɟɤɚɞɪɵɢɧɧɨɜɚɰɢɨɧɧɨɣɊɨɫɫɢɢ» ɧɚ 2009–2013 ɝɨɞɵɩɨɬɟɦɟ «ɂɫɫɥɟɞɨɜɚɧɢɟɧɟɫɬɚɰɢɨɧɚɪɧɵɯɮɢɡɢɨɥɨɝɢɱɟɫɤɢɯɫɢɝɧɚɥɨɜɢɢɡɨɛɪɚɠɟɧɢɣɩɪɢɢɧɬɟɥɥɟɤɬɭ -ɚɥɶɧɨɣɞɟɹɬɟɥɶɧɨɫɬɢɫɩɨɦɨɳɶɸɦɧɨɝɨɮɭɧɤɰɢɨɧɚɥɶɧɨɝɨɞɢɚɝɧɨɫɬɢɱɟɫɤɨɝɨɢɡɦɟɪɢɬɟɥɶɧɨɝɨɤɨɦɩɥɟɤɫɚ».

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-ɩɨɥɶɡɨɜɚɧɢɟ ȺRɆ-ɩɪɨɰɟɫɫɨɪɚ ɩɨɡɜɨɥɹɟɬ ɭɫɤɨɪɢɬɶ ɨɞɧɨɩɨɬɨɱɧɵɟ ɜɵɱɢɫɥɟɧɢɹ ɛɥɚɝɨɞɚɪɹ ɭɜɟɥɢɱɟɧɢɸ

«ɩɥɨɬɧɨɫɬɢ» ɨɛɪɚɛɚɬɵɜɚɟɦɵɯ ɞɚɧɧɵɯ. ɂɫɩɨɥɶɡɭɟɦɵɣ ɧɚɛɨɪ ɤɨɦɚɧɞ ɩɨɥɟɡɟɧ ɞɥɹ ɨɪɝɚɧɢɡɚɰɢɢ

ɢɬɟɪɚɰɢɨɧ-ɧɵɯɜɵɱɢɫɥɢɬɟɥɶɧɵɯɩɪɨɰɟɫɫɨɜ, ɜɬɨɦɱɢɫɥɟɩɪɢɪɚɡɥɨɠɟɧɢɢɫɢɝɧɚɥɨɜɜɫɩɟɤɬɪ.

Ɂɚɪɟɝɢɫɬɪɢɪɨɜɚɧɧɵɟ ɷɥɟɤɬɪɨɮɢɡɢɨɥɨɝɢɱɟɫɤɢɟ ɫɢɝɧɚɥɵ ɩɨɫɥɟ ɨɰɢɮɪɨɜɤɢ ɩɨɫɬɭɩɚɸɬ ɧɚ ɦɨɞɭɥɶ

ɫɩɟɤɬɪɨɚɧɚɥɢɡɚɬɨɪɚ, ɝɞɟ ɩɨɞɜɟɪɝɚɸɬɫɹ ɦɚɬɟɦɚɬɢɱɟɫɤɨɣ ɨɛɪɚɛɨɬɤɟ ɩɨ ɪɚɡɥɨɠɟɧɢɸ ɢɯ ɜ ɫɩɟɤɬɪ;

ɩɨɥɭɱɟɧ-ɧɵɟ ɪɟɡɭɥɶɬɚɬɵ ɫɨɯɪɚɧɹɸɬɫɹ ɜ ɜɢɞɟ ɪɹɞɚ ɫɟɪɢɣ ɧɚ ɨɬɞɟɥɶɧɨɦ ɧɨɫɢɬɟɥɟ ɢ ɜɵɜɨɞɹɬɫɹ ɧɚ

ɫɩɟɰɢɚɥɢɡɢɪɨɜɚɧ-ɧɵɣ ɦɨɧɢɬɨɪ. ɉɪɟɞɥɨɠɟɧɧɚɹ ɫɯɟɦɚ ɩɨɞɤɥɸɱɟɧɢɹ ɫɩɟɤɬɪɨɚɧɚɥɢɡɚɬɨɪɚ (ɪɢɫɭɧɨɤ) ɩɨɡɜɨɥɹɟɬ ɛɟɡ

ɦɨɞɟɪɧɢ-ɡɚɰɢɢɢɫɩɨɥɶɡɭɟɦɨɝɨ ɦɟɞɢɰɢɧɫɤɨɝɨɩɪɢɛɨɪɚɩɟɪɟɯɜɚɬɵɜɚɬɶɢ ɨɛɪɚɛɚɬɵɜɚɬɶɞɚɧɧɵɟɧɟɡɚɜɢɫɢɦɨ ɨɬɚɥɝɨ

-ɪɢɬɦɨɜ, ɡɚɥɨɠɟɧɧɵɯ ɜ ɪɟɝɢɫɬɪɢɪɭɸɳɟɦ ɩɪɢɛɨɪɟ.

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-ȼ ɦɨɞɭɥɟ ɫɩɟɤɬɪɨɚɧɚɥɢɡɚɬɨɪɚ ɪɟɚɥɢɡɨɜɚɧɚ ɜɨɡɦɨɠɧɨɫɬɶ ɩɚɪɚɥɥɟɥɶɧɨɣ ɧɟɡɚɜɢɫɢɦɨɣ ɫɩɟɤɬɪɚɥɶɧɨɣ

ɨɛɪɚɛɨɬɤɢ ɤɚɠɞɨɝɨ ɤɚɧɚɥɚ ɜ ɨɬɞɟɥɶɧɨɫɬɢ (ɨɬ ɨɞɧɨɝɨ ɞɨ 32 ɤɚɧɚɥɨɜ). ɋɩɟɤɬɪɨɚɧɚɥɢɡɚɬɨɪ ɩɨɡɜɨɥɹɟɬ

ɩɪɢɦɟ-ɧɹɬɶ ɪɚɡɥɢɱɧɵɟ ɜɢɞɵ ɦɚɬɟɦɚɬɢɱɟɫɤɢɯ ɩɪɟɨɛɪɚɡɨɜɚɧɢɣ ɞɥɹ ɜɵɞɟɥɟɧɢɹ ɫɩɟɤɬɪɚɥɶɧɵɯ ɤɨɦɩɨɧɟɧɬɨɜ

ɢɫɫɥɟ-ɞɭɟɦɵɯ ɫɢɝɧɚɥɨɜ [7]. Ɇɨɞɭɥɶ ɦɨɠɟɬ ɢɫɩɨɥɶɡɨɜɚɬɶɫɹ ɫɨɜɦɟɫɬɧɨ ɫ ɥɸɛɵɦɢ ɷɥɟɤɬɪɨɮɢɡɢɨɥɨɝɢɱɟɫɤɢɦɢ

ɩɪɢ-ɛɨɪɚɦɢ (ɦɢɨɝɪɚɮɵ, ɤɚɪɞɢɨɝɪɚɮɵ, ɷɧɰɟɮɚɥɨɝɪɚɮɵɫɤɨɥɢɱɟɫɬɜɨɦɤɚɧɚɥɨɜɞɨ 32), ɩɨɡɜɨɥɹɹɩɨɥɭɱɢɬɶɛɨɥɟɟ

ɩɨɥɧɨɟ ɩɪɟɞɫɬɚɜɥɟɧɢɟ ɨ ɫɨɫɬɚɜɥɹɸɳɢɯ ɷɥɟɤɬɪɨɮɢɡɢɨɥɨɝɢɱɟɫɤɨɝɨ ɫɢɝɧɚɥɚ ɩɨ ɡɚɪɟɝɢɫɬɪɢɪɨɜɚɧɧɨɦɭ ɫɩɟɤɬɪɭ,

ɫɥɟɞɨɜɚɬɟɥɶɧɨ, ɨɛɟɫɩɟɱɢɜɚɹ ɛɨɥɶɲɟ ɜɨɡɦɨɠɧɨɫɬɟɣ ɞɥɹ ɚɧɚɥɢɡɚ ɞɚɧɧɵɯ ɢ ɦɟɞɢɰɢɧɫɤɨɣ ɞɢɚɝɧɨɫɬɢɤɢ.

ɉɪɨɝɪɚɦɦɧɨɟ ɨɛɟɫɩɟɱɟɧɢɟ ɫɩɟɤɬɪɨɚɧɚɥɢɡɚɬɨɪɚ ɨɛɟɫɩɟɱɢɜɚɟɬ ɧɟɩɪɟɪɵɜɧɨɟ ɪɚɡɥɨɠɟɧɢɟ

ɪɟɝɢɫɬɪɢ-ɪɭɟɦɨɝɨɫɢɝɧɚɥɚɧɚɮɪɚɝɦɟɧɬɵɪɚɜɧɨɣɞɥɢɬɟɥɶɧɨɫɬɢɢɩɨɫɥɟɞɭɸɳɟɟɩɪɢɦɟɧɟɧɢɟɤɷɬɢɦɮɪɚɝɦɟɧɬɚɦɦɚ

-ɬɟɦɚɬɢɱɟɫɤɢɯ ɩɪɟɨɛɪɚɡɨɜɚɧɢɣ. Ⱦɥɢɬɟɥɶɧɨɫɬɶ ɮɪɚɝɦɟɧɬɚ ɜɵɛɢɪɚɟɬɫɹ ɞɨ ɧɚɱɚɥɚ ɢɫɫɥɟɞɨɜɚɧɢɹ ɢ ɜ ɩɪɨɰɟɫɫɟ

ɢɫɫɥɟɞɨɜɚɧɢɹ ɧɟ ɦɟɧɹɟɬɫɹ. Ⱦɚɥɶɧɟɣɲɟɟ ɭɫɨɜɟɪɲɟɧɫɬɜɨɜɚɧɢɟ ɭɫɬɪɨɣɫɬɜɚ ɫɜɹɡɚɧɨ ɫ ɪɟɚɥɢɡɚɰɢɟɣ ɡɚɩɢɫɢ

ɪɟɡɭɥɶɬɚɬɨɜ ɫɩɟɤɬɪɚɥɶɧɨɝɨ ɚɧɚɥɢɡɚ ɜ ɫɨɨɬɜɟɬɫɬɜɢɢ ɫɨ ɫɬɚɧɞɚɪɬɨɦ ɦɟɞɢɰɢɧɫɤɢɯ ɞɚɧɧɵɯ DICOM 3.0.

Ɋɚɡɪɚɛɨɬɚɧɧɵɣ ɫɩɟɤɬɪɨɚɧɚɥɢɡɚɬɨɪ ɜ ɜɢɞɟ ɨɬɞɟɥɶɧɨɝɨ ɦɨɞɭɥɹ ɜɯɨɞɢɬ ɜ ɫɨɫɬɚɜ ɢɧɮɨɪɦɚɰɢɨɧɧɨɝɨ

ɢɡɦɟɪɢɬɟɥɶɧɨɝɨ ɤɨɦɩɥɟɤɫɚ ɞɥɹ ɢɫɫɥɟɞɨɜɚɧɢɹ ɧɟɫɬɚɰɢɨɧɚɪɧɵɯ ɮɢɡɢɨɥɨɝɢɱɟɫɤɢɯ ɫɢɝɧɚɥɨɜ [6, 8], ɪɚɡɪɚɛɨ-ɬɚɧɧɨɝɨ ɫɨɜɦɟɫɬɧɨ ɫɨɬɪɭɞɧɢɤɚɦɢ ɤɚɮɟɞɪɵ ɂɌɢɄɌ ɇɂɍ ɂɌɆɈ ɢ ɨɬɞɟɥɚ ɷɤɨɥɨɝɢɱɟɫɤɨɣ ɮɢɡɢɨɥɨɝɢɢ

ɇɚ-ɭɱɧɨ-ɢɫɫɥɟɞɨɜɚɬɟɥɶɫɤɨɝɨ ɢɧɫɬɢɬɭɬɚ ɷɤɫɩɟɪɢɦɟɧɬɚɥɶɧɨɣ ɦɟɞɢɰɢɧɵ ɋɟɜɟɪɨ-Ɂɚɩɚɞɧɨɝɨ ɨɬɞɟɥɟɧɢɹ

Ɋɨɫɫɢɣ-ɫɤɨɣɚɤɚɞɟɦɢɢɦɟɞɢɰɢɧɫɤɢɯɧɚɭɤ (ɇɂɂɗɆɋɁɈɊȺɆɇ). ȼɧɚɫɬɨɹɳɟɟɜɪɟɦɹɫɩɟɤɬɪɨɚɧɚɥɢɡɚɬɨɪɩɪɨɯɨɞɢɬ

ɢɫɩɵɬɚɧɢɹ ɜ ɥɚɛɨɪɚɬɨɪɢɢ ɧɟɣɪɨɷɤɨɥɨɝɢɢ ɇɂɂɗɆ ɋɁɈ ɊȺɆɇ.

ɗɧɰɟɮɚɥɨɝɪɚɮ Ʉɨɦɩɶɸɬɟɪ Ɇɨɧɢɬɨɪ

ɂɫɩɵɬɭɟɦɵɣ ɋɩɟɤɬɪɨɚɧɚɥɢɡɚɬɨɪ_ɧɚ_ɛɚɡɟ ɦɢɧɢɤɨɦɩɶɸɬɟɪɚ

Ɇɨɧɢɬɨɪ

1. Gnezditskii V.V. Vyzvannye potentsialy mozga v klinicheskoi praktike [Evoked potentials of the brain in clinical practice]. Moscow, MEDpress-inform Publ., 2003, 264 p.

2. Rutman E.M. Vyzvannye potentsialy v psikhologii i psikhofiziologii [Evoked potentials in psychology and

psychophysiology]. Moscow, Oniks Publ., 2012, 301 p.

3. Kurova N.S., Cheremushkin E.A. Spektral'nye kharakteristiki EEG pri uslozhnenii konteksta kognitivnoi deyatel'nosti [Context-Dependent EEG Spectral Characteristics during Performance of Tasks]. Zhurnal vysshei nervnoi deyatel'nosti im. I.P. Pavlova – I.P. Pavlov Journal of Higher Nervous Activity, 2006, vol. 56, no. 2, pp. 211–218.

4. Nidekker I.G., AntonovA.A. Spectral Analysis of Long Electroencephalographic Records. Human Physiology, 2003,

vol. 29, no. 3, pp. 377–383.

5. Pavlygina R.A., Davydov V.I., Sakharov D.S., Tutushkina M.V., Pryamonosova A.A. EEG pri reshenii matematicheskikh logicheskikh zadach [EEG in solving mathematical logic problems]. Zhurnal vysshei nervnoi deyatel'nosti im. I.P. Pavlova – I.P. Pavlov Journal of Higher Nervous Activity, 2010, vol. 60, no. 5, pp. 534–542.

6. Marusina M.Ya., Suvorov N.B., Kozachenko A.V., Tolkovich D.V. Sinkhronizatsiya fiziologicheskikh signalov intellektual'noi deyatel'nosti cheloveka s pomoshch'yu mnogofunktsional'nogo izmeritel'nogo kompleksa [Synchronizing of physiological signals for human intellectual activity by multifunctional measuring complex]. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2013, no. 4 (86), pp. 49–55.

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К КИ Щ И

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ч В ч – ɚɫɩɢɪɚɧɬ, ɋɚɧɤɬ-ɉɟɬɟɪɛɭɪɝɫɤɢɣ ɧɚɰɢɨɧɚɥɶɧɵɣ ɢɫɫɥɟɞɨɜɚɬɟɥɶɫɤɢɣ ɭɧɢɜɟɪɫɢɬɟɬ ɢɧɮɨɪɦɚɰɢɨɧɧɵɯ ɬɟɯɧɨɥɨɝɢɣ, ɦɟɯɚɧɢɤɢ ɢ ɨɩɬɢɤɢ, ɋɚɧɤɬ-ɉɟɬɟɪɛɭɪɝ, Ɋɨɫɫɢɹ, PYBY@inbox.ru

А я – ɫɬɭɞɟɧɬ, ɋɚɧɤɬ-ɉɟɬɟɪɛɭɪɝɫɤɢɣ ɧɚɰɢɨɧɚɥɶɧɵɣ ɢɫɫɥɟɞɨɜɚɬɟɥɶɫɤɢɣ ɭɧɢɜɟɪɫɢɬɟɬ ɢɧɮɨɪɦɚɰɢɨɧɧɵɯ ɬɟɯɧɨɥɨɝɢɣ, ɦɟɯɚɧɢɤɢ ɢ ɨɩɬɢɤɢ, ɋɚɧɤɬ-ɉɟɬɟɪɛɭɪɝ, Ɋɨɫɫɢɹ, Zeneka44@gmail.com

Dmitry Tolkovich – postgraduate, Saint Petersburg National Research University of Infor-mation Technologies, Mechanics and Optics, Saint Petersburg, Russia, PYBY@inbox.ru

Evgenia Andrianova – student, Saint Petersburg National Research University of Information Technologies, Mechanics and Optics, Saint Petersburg, Russia, Zeneka44@gmail.com

8. Anodina-Andrievskaya E.M., Bozhokin S.V., Polonskii Yu.Z., Suvorov N.B., Marusina M. Ya. Perspektivnye podkhody k analizu informativnosti fiziologicheskikh signalov i meditsinskikh izobrazhenii cheloveka pri intellektual'noi deyatel'nosti [Promising approaches to the analysis of informativeness of physiological signals and medical images of the