Convolutional neural networks predict the onset of paroxysmal atrial fibrillation: Theory and applications

M Surucu, Y Isler, M Perc, R Kara - Chaos: An Interdisciplinary Journal …, 2021 - pubs.aip.org
In this study, we aimed to detect paroxysmal atrial fibrillation episodes before they occur so
that patients can take precautions before putting their and others' lives in potentially life …

Cognitive load detection through EEG lead wise feature optimization and ensemble classification

J Yedukondalu, K Sunkara, V Radhika… - Scientific Reports, 2025 - nature.com
Cognitive load stimulates neural activity, essential for understanding the brain's response to
stress-inducing stimuli or mental strain. This study examines the feasibility of evaluating …

A novel wearable real-time sleep apnea detection system based on the acceleration sensor

AH Yüzer, H Sümbül, K Polat - Irbm, 2020 - Elsevier
Background and objective The apnea syndrome is characterized by an abnormal breath
pause or reduction in the airflow during sleep. It is reported in the literature that, it affects 2 …

Cognitive load detection using Ci-SSA for EEG signal decomposition and nature-inspired feature selection

J Yedukondalu, LD Sharma - Turkish Journal of Electrical …, 2023 - journals.tubitak.gov.tr
Cognitive load detection is eminent during the mental assignment of neural activity because
it indicates how the brain reacts to stimuli. The level of cognitive load experienced during …

k-NN-based classification of sleep apnea types using ECG

OHAN TİMUŞ, ED BOLAT - Turkish Journal of Electrical …, 2017 - journals.tubitak.gov.tr
Obstructive sleep apnea syndrome (OSAS) is a common sleep disorder that yields
cardiovascular diseases, excessive daytime sleepiness, and poor quality of life if not treated …

Poincaré section analysis of the electroencephalogram in autism spectrum disorder using complement plots

G Sadeghi Bajestani, MR Hashemi Golpayegani… - Kybernetes, 2017 - emerald.com
Purpose This paper aims to explain, first of all, signal modeling steps using Poincaré, and
then considering the occurred events, concept of information applying Poincaré section and …

Ensemble classification approach for screening of obstructive sleep apnoea using ECG

BB Rekha, A Kandaswamy… - International Journal of …, 2018 - inderscienceonline.com
Sleep is essential for healthy human life. Obstructive Sleep Apnoea (OSA) is a commonly
occurring sleep breathing disorder and manifests itself as pauses in nocturnal breathing …

Automatic Obstructive Sleep Apnea Identification Using First Order Statistics Features of Electrocardiogram and Machine Learning

AN Indrawati, N Nuryani, W Wiharto… - … Engineering, and Health …, 2023 - Springer
Abstract Obstructive Sleep Apnea (OSA), or cessation of breathing during sleep, is caused
by a blocked upper airway. OSA is one of the causes of sudden death caused by heart …

An Advanced Circular Adaptive Search Butterfly Optimization Algorithm for the CNN-based Sleep Apnea Detection Approach

J Geetha, J Benadict Raja - IETE Journal of Research, 2024 - Taylor & Francis
The analysis of pulse photoplethysmography (PPG) signals using computerized techniques
is a develo** field in research. Various effective signal-processing tools have been …

Diagnosis of paroxysmal atrial fibrillation from thirty-minute heart ratevariability data using convolutional neural networks

M SÜRÜCÜ, Y İŞLER, R Kara - Turkish Journal of Electrical …, 2021 - journals.tubitak.gov.tr
Paroxysmal atrial fibrillation (PAF) is the initial stage of atrial fibrillation, one of the most
common arrhythmia types. PAF worsens with time and affects the patient? s life quality …