COMPLEXITY-BASED ANALYSIS OF THE CORRELATION OF BRAIN AND HEART ACTIVITY IN YOUNGER AND OLDER SUBJECTS DOI Creative Commons
NAJMEH PAKNIYAT,

Gayathri Vivekanandhan,

Norazryana Mat Dawi

и другие.

Fractals, Год журнала: 2023, Номер 32(01)

Опубликована: Ноя. 30, 2023

Studying the activity of organs during aging is a very important research area. On other hand, simultaneous analysis activities various to understand how their are correlated. For first time, this analyzes brain-heart correlation in younger and older subjects. We analyzed sample entropy (SampEn) approximate (ApEn) EEG R-R signals (as heart rate variability (HRV)) participants while they sat comfortably an armchair with eyes open. The results indicated that subjects’ have greater values entropies than Therefore, as subjects age, become more complex. This can be extended investigate between physiological among different age groups.

Язык: Английский

Temporal electroencephalography features unveiled via olfactory stimulus as biomarkers for mild Alzheimer’s disease DOI
Bilal Orkan Olcay, Murat Pehlivan, Bilge Karaçalı

и другие.

Biomedical Signal Processing and Control, Год журнала: 2025, Номер 104, С. 107566 - 107566

Опубликована: Янв. 27, 2025

Язык: Английский

Процитировано

0
EEG-based motor imagery recognition via novel explainable ensemble learning architecture DOI
Antonio Luca Alfeo, Vincenzo Catrambone, Mario G. C. A. Cimino

и другие.

Neural Computing and Applications, Год журнала: 2025, Номер unknown

Опубликована: Май 17, 2025

Язык: Английский

Процитировано

0
Using chemosensory-induced EEG signals to identify patients with de novo Parkinson’s disease DOI
Bilal Orkan Olcay, Fatih Onay, Güliz Akın Öztürk

и другие.

Biomedical Signal Processing and Control, Год журнала: 2023, Номер 87, С. 105438 - 105438

Опубликована: Сен. 19, 2023

Язык: Английский

Процитировано

6
COMPLEXITY-BASED ANALYSIS OF THE CORRELATION OF BRAIN AND HEART ACTIVITY IN YOUNGER AND OLDER SUBJECTS DOI Creative Commons
NAJMEH PAKNIYAT,

Gayathri Vivekanandhan,

Norazryana Mat Dawi

и другие.

Fractals, Год журнала: 2023, Номер 32(01)

Опубликована: Ноя. 30, 2023

Studying the activity of organs during aging is a very important research area. On other hand, simultaneous analysis activities various to understand how their are correlated. For first time, this analyzes brain-heart correlation in younger and older subjects. We analyzed sample entropy (SampEn) approximate (ApEn) EEG R-R signals (as heart rate variability (HRV)) participants while they sat comfortably an armchair with eyes open. The results indicated that subjects’ have greater values entropies than Therefore, as subjects age, become more complex. This can be extended investigate between physiological among different age groups.

Язык: Английский

Процитировано

4