Browsing Academic by Author "Zabihi M."
Now showing items 1-9 of 9
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Automatic Sleep Arousal Detection Using State Distance Analysis in Phase Space
Zabihi M.; Rad A.B.; Sarkka S.; Kiranyaz S.; Katsaggelos A.K.; Gabbouj M.... more authors ... less authors ( IEEE Computer Society , 2018 , Conference Paper)Defective sleep arousal can contribute to significant sleep-related injuries and affect the quality of life. Investigating the arousal process is a challenging task as most of such events may be associated with subtle ... -
Detection of atrial fibrillation in ECG hand-held devices using a random forest classifier
Zabihi, M.; Zabihi, Morteza; Rad, Ali Bahrami; Katsaggelos, Aggelos K.; Kiranyaz, Serkan; Narkilahti, Susanna; Gabbouj, Moncef... more authors ... less authors ( IEEE Computer Society , 2017 , Conference Paper)Atrial Fibrillation (AF) is characterized by chaotic electrical impulses in the atria, which leads to irregular heartbeats and can develop blood clots and stroke. Therefore, early detection of AF is crucial for increasing ... -
Early Detection of Myocardial Infarction in Low-Quality Echocardiography
Degerli A.; Zabihi M.; Kiranyaz, Mustafa Serkan; Hamid T.; Mazhar R.; Hamila R.; Gabbouj M.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Myocardial infarction (MI), or commonly known as heart attack, is a life-threatening health problem worldwide from which 32.4 million people suffer each year. Early diagnosis and treatment of MI are crucial to prevent ... -
Feature-Based Cardiac Cycle Segmentation in Phonocardiogram Recordings
Taipalmaa J.; Zabihi M.; Gabbouj M.; Kiranyaz S. ( IEEE Computer Society , 2018 , Conference Paper)Phonocardiogram (PCG) conveys crucial information for cardiac health evaluation in ambulatory care and is an essential diagnostic test for heart assessment. Thus, identification and positioning of the first and second heart ... -
Learned vs. hand-designed features for ECG beat classification: A comprehensive study
Ince T.; Zabihi M.; Kiranyaz, Mustafa Serkan; Gabbouj M. ( Springer Verlag , 2017 , Conference Paper)In this study, in order to find out the best ECG classification performance we realized comparative evaluations among the state-of-the-art classifiers such as Convolutional Neural Networks (CNNs), multi-layer perceptrons ... -
Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection
Kiranyaz, Mustafa Serkan; Degerli A.; Hamid T.; Mazhar R.; Fadil Ahmed R.E.; Abouhasera R.; Zabihi M.; Malik J.; Hamila R.; Gabbouj M.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Echocardiogram (echo) is the earliest and the primary tool for identifying regional wall motion abnormalities (RWMA) in order to diagnose myocardial infarction (MI) or commonly known as heart attack. This paper proposes a ... -
Patient-Specific Seizure Detection Using Nonlinear Dynamics and Nullclines
Zabihi M.; Kiranyaz, Mustafa Serkan; Jantti V.; Lipping T.; Gabbouj M. ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Nonlinear dynamics has recently been extensively used to study epilepsy due to the complex nature of the neuronal systems. This study presents a novel method that characterizes the dynamic behavior of pediatric seizure ... -
Real-time phonocardiogram anomaly detection by adaptive 1D Convolutional Neural Networks
Kiranyaz, Mustafa Serkan; Zabihi M.; Rad A.B.; Ince T.; Hamila R.; Gabbouj M.... more authors ... less authors ( Elsevier B.V. , 2020 , Article)The heart sound signals (Phonocardiogram ? PCG) enable the earliest monitoring to detect a potential cardiovascular pathology and have recently become a crucial tool as a diagnostic test in outpatient monitoring to assess ... -
Sepsis Prediction in Intensive Care Unit Using Ensemble of XGboost Models
Zabihi M.; Kiranyaz, Mustafa Serkan; Gabbouj M. ( IEEE Computer Society , 2019 , Conference Paper)Sepsis is caused by the dysregulated host response to infection and potentially is the main cause of 6 million death annually. It is a highly dynamic syndrome and therefore the early prediction of sepsis plays a key role ...