The sexual features of bioelectrical activity of human brain on the base of spectral analysis of electroencephalography in a process of high-frequency (20 Hz) photostimulation

Periodic breathing occurs commonly in full-term and preterm infants. The mechanisms which switch breathing on and off within a cycle of periodic breathing are not certain. Since immature infants may experience diaphragmatic muscle fatigue, one potential switching mechanism is fatigue. Power spectra of the electromyogram, uncontaminated by the electrocardiograph artifact, were studied for evidence of diaphragmatic muscle fatigue during spontaneous periodic breathing in infants. A fall in the high-frequency (103–600 Hz) power and an increase in the low-frequency (23–47 Hz) power during periodic as compared with normal breathing would indicate fatigue. This effect was not observed in any of the infants studied. Hence, there is no evidence that periodic breathing is the result of diaphragmatic muscle fatigue. This finding suggests that the effect of drugs such as theophylline in eliminating periodic breathing may be unrelated to the fact that they also reduce fatigue.

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Microanalysis and Macroanalysis of High-Frequency Oscillations in the Human Brain

Epilepsy ◽

10.1201/b10866-32 ◽

2011 ◽

pp. 369-381 ◽

Cited By ~ 1

Author(s):

B Crépon ◽

M Valderrama ◽

C Alvarado-Rojas ◽

V Navarro ◽

M Le Van Quyen

Keyword(s):

Human Brain ◽

High Frequency ◽

High Frequency Oscillations

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A 2200-yr record of hydrologic variability from Foy Lake, Montana, USA, inferred from diatom and geochemical data

Quaternary Research ◽

10.1016/j.yqres.2005.08.024 ◽

2006 ◽

Vol 65 (02) ◽

pp. 264-274 ◽

Cited By ~ 46

Author(s):

Lora R. Stevens ◽

Jeffery R. Stone ◽

Josh Campbell ◽

Sherilyn C. Fritz

Keyword(s):

Spectral Analysis ◽

High Resolution ◽

High Frequency ◽

Lake Level ◽

Low Frequency ◽

Seasonal Distribution ◽

Geochemical Data ◽

Hydrologic Variability ◽

Moisture Balance ◽

Hydrologic Balance

AbstractA 2200-yr long, high-resolution (∼5 yr) record of drought variability in northwest Montana is inferred from diatoms and δ18O values of bio-induced carbonate preserved in a varved lacustrine core from Foy Lake. A previously developed model of the diatom response to lake-level fluctuations is used to constrain estimates of paleolake levels derived from the diatom data. High-frequency (decadal) fluctuations in the de-trended δ18O record mirror variations in wet/dry cycles inferred from Banff tree-rings, demonstrating the sensitivity of the oxygen-isotope values to changes in regional moisture balance. Low frequency (multi-centennial) isotopic changes may be associated with shifts in the seasonal distribution of precipitation. From 200 B.C. to A.D. 800, both diatom and isotope records indicate that climate was dry and lake level low, with poor diatom preservation and high organic carbon: nitrogen ratios. Subsequently, lake level rose slightly, although the climate was drier and more stable than modern conditions. At A.D. 1200, lake level increased to approximately 6 m below present elevation, after which the lake fluctuated between this elevation and full stage, with particularly cool and/or wetter conditions after 1700. The hydrologic balance of the lake shifted abruptly at 1894 because of the establishment of a lumber mill at the lake's outlet. Spectral analysis of the δ18O data indicates that severe droughts occurred with multi-decadal (50 to 70 yr) frequency.

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Walsh-Hadamard spectral analysis of signals representing bioelectrical activity of the reproductive tract in pigs

2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE) ◽

10.1109/bibe.2015.7367706 ◽

2015 ◽

Author(s):

E. Oczeretko ◽

M. Borowska ◽

E. Brzozowska ◽

B. Pawlinski ◽

A. Borusiewicz ◽

...

Keyword(s):

Spectral Analysis ◽

Reproductive Tract ◽

Bioelectrical Activity

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BIOLOGICAL AGE ESTIMATION BASED ON THE SPECTRAL ANALYSIS OF THE HUMAN BRAIN BIOELECTRIC ACTIVITY

Успехи геронтологии ◽

10.34922/ae.2021.34.3.018 ◽

2021 ◽

pp. 466-471

Author(s):

Г. А. Шабанов ◽

А. А. Рыбченко ◽

Е. А. Луговая ◽

С.И. Вдовенко

Keyword(s):

Spectral Analysis ◽

Human Brain ◽

Research Work ◽

Risk Groups ◽

Healthy People ◽

Biological Age ◽

Bioelectric Activity ◽

Peripheral Tissues ◽

Oncological Patients ◽

The Brain

В работе впервые предложен способ оценки биологического возраста человека на основе спектрального анализа биоэлектрической активности головного мозга. Был разработан индекс децентрализации (IDC), который учитывал суммарную степень снижения фоновых нейротрофических влияний активирующей системы мозга на периферические ткани и органы. Получена близкая к линейной зависимость величины индекса IDC от возраста практически здоровых людей 10-90 лет и степени дифференцировки раковых клеток G1 G4 у онкологических пациентов. Накопление клеточных нарушений и мутаций с возрастом отражалось в увеличении индекса IDC от 100 до 900 у. е. Еще большее количество клеточных мутаций у онкологических пациентов со степенью дифференцировки клеток от G1 до G4 приводило к увеличению IDC до 3 000 у. е. и более. Полученные данные позволили проводить оценку биологического возраста после 10-минутной регистрации биоэлектрической активности головного мозга человека. Достоверность оценки повышалась при усреднении нескольких данных у одного человека. Технология полезна для научных исследований в области геронтологии, при мониторинге состояния практически здоровых людей, формирования групп риска и контроля лечебного процесса у онкологических пациентов. For the first time, the research work offers a method of estimating human biological age based on the spectral analysis of the brain bioelectric activity. IDC decentralization index, which could consider summary degree of reduction of the background neurotrophic influences of the brain activating system on the peripheral tissues and organs, was developed. The close to linear dependence of the IDC index on the age of healthy people aged 10-90 as well as on the oncological patients cancer G 1 G 4 cells differentiation was obtained. The cell disorders and mutations in relation with the age from 10 to 90 could be seen in growth of the IDC index from 100 to 900 units. The greater amount of the cell mutations in the oncological patients with the G 1 G 4 differentiation resulted in the IDC index growth up to the 3 000 units and more. All the obtained data allowed estimating the real biological age after a 10-minute registration of the human brain bioelectric activity. The accuracy increased with the averaging several surveys taken from one particular person. The technology will be highly efficient for scientific researches in the field of gerontology, monitoring of healthy people, revealing of risk groups, and for controlling of the cancer patients medical treatment.

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