Перегляд за автором "Zhemchuzhkina, T. V."

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  • Зображення мініатюри
    Публікація
    Analysis of higher order spectra of epileptic EEG signals
    (НТУ «ХПІ», 2022) Zhemchuzhkina, T. V.; Tarchani Meriame
    Numerical values of the cumulants, amplitudes and frequencies of main peaks of bispectrum diagonal slice were grouped according to the bispectrum forms. In prospect, it is planned to carry out a statistical analysis of the numerical characteristics of the HOS analysis.
  • Зображення мініатюри
    Публікація
    Analysis of the dynamics of emg signal indicators
    (НТУ «ХПІ», 2022) Zhemchuzhkina, T. V.; Hany Eltaj Abdel Hameed Idris
    We analyzed EMG signals obtained by examining the long extensor of the trunk at the level of the lumbar spine (L4-L5 vertebrae) from 4 groups: 1 – healthy, 2 – healthy with pain, 3 – vertebrological, 4 – scoliosis. We analyzed dynamics of main statistical and spectral characteristics and can conclude that some parameters can be useful for analysis of EMG in dynamics: standard deviation, kurtosis, median frequency and low frequency.
  • Зображення мініатюри
    Публікація
    Application of hos for heart rate variability
    (2022) Zhemchuzhkina, T. V.; Abdallah, Iren
    This work is devoted to calculation of higher order spectra (HOS) of ECG signals and comparing of results of standard spectral and statistical methods and HOS methods for heart rate variability (HRV) analysis. Heart rate variability (HRV) is a useful signal for understanding the status of the automatic nervous system.
  • Зображення мініатюри
    Публікація
    Changes in speech as indicators of stress for office workers
    (НТУ «ХПІ», 2023) Zhemchuzhkina, T. V.; Al-Qadasi, E.
    Stress is a common problem among office workers and can lead to a variety of physical, emotional, and mental health issues. Speech analysis is a promising approach for stress detection in the workplace. By using speech analysis for stress detection, employers can identify potential stress-related issues in the workplace and implement strategies to reduce workplace stress and improve employee well-being.