Search Results - "Bahrami Rad, Ali"
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A Crowdsourced AI Framework for Atrial Fibrillation Detection in Apple Watch and Kardia Mobile ECGs
Published in Sensors (Basel, Switzerland) (02-09-2024)“…Atrial fibrillation (AFib) detection via mobile ECG devices is promising, but algorithms often struggle to generalize across diverse datasets and platforms,…”
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Atrial fibrillation detection in outpatient electrocardiogram monitoring: An algorithmic crowdsourcing approach
Published in PloS one (16-11-2021)“…Atrial fibrillation (AFib) is the most common cardiac arrhythmia associated with stroke, blood clots, heart failure, coronary artery disease, and/or death…”
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Data‐driven approach for automatic detection of aortic valve opening: B point detection from impedance cardiogram
Published in Psychophysiology (01-12-2022)“…Pre‐ejection period (PEP), an indicator of sympathetic nervous system activity, is useful in psychophysiology and cardiovascular studies. Accurate PEP…”
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Automatic Cardiac Rhythm Classification With Concurrent Manual Chest Compressions
Published in IEEE access (2019)“…Electrocardiogram (EKG) based classification of out-of-hospital cardiac arrest (OHCA) rhythms is important to guide treatment and to retrospectively elucidate…”
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Using HIPAA (Health Insurance Portability and Accountability Act)-Compliant Transcription Services for Virtual Psychiatric Interviews: Pilot Comparison Study
Published in JMIR mental health (31-10-2023)“…Automatic speech recognition (ASR) technology is increasingly being used for transcription in clinical contexts. Although there are numerous transcription…”
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Multimodal Assessment of Schizophrenia and Depression Utilizing Video, Acoustic, Locomotor, Electroencephalographic, and Heart Rate Technology: Protocol for an Observational Study
Published in JMIR research protocols (01-07-2022)“…Background Current standards of psychiatric assessment and diagnostic evaluation rely primarily on the clinical subjective interpretation of a patient’s…”
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Analysis of High-Dimensional Phase Space via Poincaré Section for Patient-Specific Seizure Detection
Published in IEEE transactions on neural systems and rehabilitation engineering (01-03-2016)“…In this paper, the performance of the phase space representation in interpreting the underlying dynamics of epileptic seizures is investigated and a novel…”
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Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020
Published in Physiological measurement (01-01-2021)“…Vast 12-lead ECGs repositories provide opportunities to develop new machine learning approaches for creating accurate and automatic diagnostic systems for…”
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The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification
Published in IEEE journal of biomedical and health informatics (01-06-2022)“…Cardiac auscultation is one of the most cost-effective techniques used to detect and identify many heart conditions. Computer-assisted decision systems based…”
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ECG-Based Classification of Resuscitation Cardiac Rhythms for Retrospective Data Analysis
Published in IEEE transactions on biomedical engineering (01-10-2017)“…Objective: There is a need to monitor the heart rhythm in resuscitation to improve treatment quality. Resuscitation rhythms are categorized into: ventricular…”
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Multimodal Mental Health Digital Biomarker Analysis From Remote Interviews Using Facial, Vocal, Linguistic, and Cardiovascular Patterns
Published in IEEE journal of biomedical and health informatics (01-03-2024)“…Objective: Psychiatric evaluation suffers from subjectivity and bias, and is hard to scale due to intensive professional training requirements. In this work,…”
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Kalman-based Spectro-Temporal ECG Analysis using Deep Convolutional Networks for Atrial Fibrillation Detection
Published in Journal of signal processing systems (01-07-2020)“…In this article, we propose a novel ECG classification framework for atrial fibrillation (AF) detection using spectro-temporal representation (i.e., time…”
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Utilizing computer vision for facial behavior analysis in schizophrenia studies: A systematic review
Published in PloS one (08-04-2022)“…Schizophrenia is a severe psychiatric disorder that causes significant social and functional impairment. Currently, the diagnosis of schizophrenia is based on…”
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Issues in the automated classification of multilead ecgs using heterogeneous labels and populations
Published in Physiological measurement (26-08-2022)“…The standard twelve-lead electrocardiogram (ECG) is a widely used tool for monitoring cardiac function and diagnosing cardiac disorders. The development of…”
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Impedance cardiogram based exploration of cardiac mechanisms in post‐traumatic stress disorder during trauma recall
Published in Psychophysiology (01-04-2024)“…Post‐traumatic stress disorder (PTSD) is an independent risk factor for developing heart failure; however, the underlying cardiac mechanisms are still elusive…”
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Modeling Social Distancing and Quantifying Epidemic Disease Exposure in a Built Environment
Published in IEEE journal of selected topics in signal processing (01-02-2022)“…As we transition away from pandemic-induced isolation and social distancing, there is a need to estimate the risk of exposure in built environments. We propose…”
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Beyond Heart Murmur Detection: Automatic Murmur Grading from Phonocardiogram
Published in IEEE journal of biomedical and health informatics (01-08-2023)“…Objective: Murmurs are abnormal heart sounds, identified by experts through cardiac auscultation. The murmur grade, a quantitative measure of the murmur…”
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Machine Learning Methods for Neonatal Mortality and Morbidity Classification
Published in IEEE access (2020)“…Preterm birth is the leading cause of mortality in children under the age of five. In particular, low birth weight and low gestational age are associated with…”
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Association between PTSD and Impedance Cardiogram‐based contractility metrics during trauma recall: A controlled twin study
Published in Psychophysiology (01-03-2023)“…Post‐traumatic stress disorder (PTSD) is an independent risk factor for incident heart failure, but the underlying cardiac mechanisms remained elusive…”
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Classification and Prediction of Post-Trauma Outcomes Related to PTSD Using Circadian Rhythm Changes Measured via Wrist-Worn Research Watch in a Large Longitudinal Cohort
Published in IEEE journal of biomedical and health informatics (01-08-2021)“…Post-Traumatic Stress Disorder (PTSD) is a psychiatric condition resulting from threatening or horrifying events. We hypothesized that circadian rhythm…”
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