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Browsing by Author "Namazi, Hamidreza"

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    Article
    Citation - WoS: 32
    Citation - Scopus: 35
    Age-Based Analysis of Heart Rate Variability (Hrv) for Patients With Congestive Heart Failure
    (World Scientific Publ Co Pte Ltd, 2021) Baleanu, Dumitru; Krejcar, Ondrej; Namazi, Hamidreza; 56389; 02.02. Matematik; 02. Fen-Edebiyat Fakültesi; 01. Çankaya Üniversitesi
    It is known that heart activity changes during aging. In this paper, we evaluated alterations of heart activity from the complexity point of view. We analyzed the variations of heart rate of patients with congestive heart failure that are categorized into four different age groups, namely 30-39, 50-59, 60-69, and 70-79 years old. For this purpose, we employed three complexity measures that include fractal dimension, sample entropy, and approximate entropy. The results showed that the trend of increment of subjects' age is reflected in the trend of increment of the complexity of heart rate variability (HRV) since the values of fractal dimension, approximate entropy, and sample entropy increase as subjects get older. The analysis of the complexity of other physiological signals can be further considered to investigate the variations of activity of other organs due to aging.
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    Article
    Citation - WoS: 32
    Citation - Scopus: 35
    Analysis of the Correlation Between Brain and Skin Reactions To Different Types of Music
    (World Scientific Publ Co Pte Ltd, 2021) Baleanu, Dumitru; Omam, Shafiul; Krejcar, Ondrej; Namazi, Hamidreza; 56389; 02.02. Matematik; 02. Fen-Edebiyat Fakültesi; 01. Çankaya Üniversitesi
    Evaluation of the correlation among the activities of various organs is an important research area in physiology. In this paper, we analyzed the correlation between the brain and skin reactions in response to various auditory stimuli. We played three different music (relaxing, pop, and rock music) to eleven subjects (4 M and 7 F, 18-22 years old) and accordingly analyzed the changes in the complexity of Electroencephalogram (EEG) and Galvanic Skin Response (GSR) signals by calculating their fractal exponent and sample entropy. A strong correlation was observed among the alterations of the complexity of GSR and EEG signals in the case of fractal dimension (r = 0.9971) and also sample entropy (r = 0.8120), which indicates the correlation between the activities of skin and brain. This analysis method could be further applied to investigate the correlation among the activities of the brain and other organs of the human body.