Mostafa Abdollahpur
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View article: Tilt-induced changes in f-wave characteristics during atrial fibrillation: an experimental and computational investigation
Tilt-induced changes in f-wave characteristics during atrial fibrillation: an experimental and computational investigation Open
Introduction This study explores transient and stationary effects of sympathetic and parasympathetic stimulation on f-wave characteristics in atrial fibrillation (AF) patients undergoing a tilt test. Transient phase is defined as the initi…
View article: The frequency of atrial fibrillatory waves is modulated by the spatiotemporal pattern of acetylcholine release: a 3D computational study
The frequency of atrial fibrillatory waves is modulated by the spatiotemporal pattern of acetylcholine release: a 3D computational study Open
In atrial fibrillation (AF), the ECG P-wave, which represents atrial depolarization, is replaced with chaotic and irregular fibrillation waves (f waves). The f-wave frequency, F f , shows significant variations over time. Cardiorespiratory…
View article: Dependence of Atrial Fibrillatory Rate Variations Induced by Head-Up/Down Tilt-Test on Autonomic Action
Dependence of Atrial Fibrillatory Rate Variations Induced by Head-Up/Down Tilt-Test on Autonomic Action Open
In atrial fibrillation (AF), autonomic nervous system (ANS) differences among individuals may have a substantial influence on the varying effectiveness of anti-AF treatments. This work aimed to assess the relationship between changes in au…
View article: Heart rate characteristic based modelling of atrial fibrillatory rate using implanted cardiac monitor data
Heart rate characteristic based modelling of atrial fibrillatory rate using implanted cardiac monitor data Open
Objective . The objective of the present study is to investigate the feasibility of using heart rate characteristics to estimate atrial fibrillatory rate (AFR) in a cohort of atrial fibrillation (AF) patients continuously monitored with an…
View article: A subspace projection approach to quantify respiratory variations in the f-wave frequency trend
A subspace projection approach to quantify respiratory variations in the f-wave frequency trend Open
Background: The autonomic nervous system (ANS) is known as a potent modulator of the initiation and perpetuation of atrial fibrillation (AF), hence information about ANS activity during AF may improve treatment strategy. Respiratory induce…
View article: An atrioventricular node model incorporating autonomic tone
An atrioventricular node model incorporating autonomic tone Open
The response to atrial fibrillation (AF) treatment is differing widely among patients, and a better understanding of the factors that contribute to these differences is needed. One important factor may be differences in the autonomic nervo…
View article: Respiratory Induced Modulation in f-Wave Characteristics During Atrial Fibrillation
Respiratory Induced Modulation in f-Wave Characteristics During Atrial Fibrillation Open
The autonomic nervous system (ANS) is an important factor in cardiac arrhythmia, and information about ANS activity during atrial fibrillation (AF) may contribute to personalized treatment. In this study we aim to quantify respiratory modu…
View article: Relationship between Atrial Oscillatory Acetylcholine Release Pattern and f-wave Frequency Modulation: a Computational and Experimental Study
Relationship between Atrial Oscillatory Acetylcholine Release Pattern and f-wave Frequency Modulation: a Computational and Experimental Study Open
The frequency of fibrillatory waves (f-waves), F f , exhibits significant variation over time, and previous studies suggest that some of this variation is related to respiratory modulation through the autonomic nervous system. In this stud…
View article: Respiratory Modulation in Permanent Atrial Fibrillation
Respiratory Modulation in Permanent Atrial Fibrillation Open
Several studies have shown that the autonomic nervous system (ANS) can induce changes during atrial fibrillation (AF). There is currently a lack of methods for quantifying ANS induced variations during AF. The purpose of this study is to q…
View article: Nonlinear Analysis of Heart Sounds for the Detection of Cardiac Disorders Using Recurrence Quantification Analysis
Nonlinear Analysis of Heart Sounds for the Detection of Cardiac Disorders Using Recurrence Quantification Analysis Open
Introduction: Auscultation of heart sounds using digital stethoscope technology is an effective method for the diagnosis of various cardiovascular disorders.The characteristics of phonocardiography (PCG) signals can be represented by devel…
View article: Heart Arrhythmia Classification Using Extracted Features in Poincare Plot of RR Intervals?
Heart Arrhythmia Classification Using Extracted Features in Poincare Plot of RR Intervals? Open
Early diagnosis of cardiac arrhythmia is important for a better management of arrhythmia.The main goal of this article was to compare conventional and new features extracted from Poincare plot between normal sinus rhythm, atrial fibrillati…
View article: Atrial Fibrillation Detection Using Feature Based Algorithm and Deep Conventional Neural Network
Atrial Fibrillation Detection Using Feature Based Algorithm and Deep Conventional Neural Network Open
Aims: Electrocardiographic waveforms (ECG) are recognized as the most reliable method to detect abnormal heart rhythms such as atrial fibrillation. This task is challenging when the signals are distorted by noise. This paper presents an au…
View article: Cycle Selection and Neuro:Voting System for Classifying Heart Sound Recordings
Cycle Selection and Neuro:Voting System for Classifying Heart Sound Recordings Open
Aims: To address the PhysioNet/Computing in Cardiology (CinC) Challenge 2016 [1], this study aims to discuss a new method to classify PCG signals collected from a variety of clinical or nonclinical environments.Method: The raw PCG data is …