Trepo - Selaus tekijän mukaan "Zabihi, Morteza"
Viitteet 1-7 / 7
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Automatic cardiac rhythm classification with concurrent manual chest compressions
(2019)
article<p>Electrocardiogram (EKG) based classification of out-of-hospital cardiac arrest (OHCA) rhythms is important to guide treatment and to retrospectively elucidate the effects of therapy on patient response. OHCA rhythms ... -
Contributions to Biomedical Signal Analysis Using Nonlinear Dynamics and Machine Learning
Tampere University Dissertations - Tampereen yliopiston väitöskirjat : 301 (Tampere University, 2020)
ArtikkeliväitöskirjaMachine Learning and Signal Processing have myriad applications in healthcare from automating the administrative tasks to speeding up medical diagnosis and drug discovery. This domain brings computer and medical sciences ... -
Early Detection of Myocardial Infarction in Low-Quality Echocardiography
(16.02.2021)
article<p>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 ... -
Feasibility of video/audio monitoring in the analysis of motion and treatment effects on night-time seizures: Interventional study
(08 / 2022)
article<p>The aim of the study: This pilot study assessed the ability of a video/audio-based seizure monitoring system to evaluate (I) baseline frequency and severity of nocturnal seizures with motor features in patients ... -
Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection
(17.11.2020)
articleEchocardiogram (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 epileptic seizure detection in long-term EEG recording in paediatric patients with intractable seizures
(2013)
DiplomityöOver recent years, due to the increase in the epileptic patient population, issues of diagnosing and treatment of epilepsy have become more and more prominent and much research has been done in this field in consequence. ... -
Real-time Phonocardiogram Anomaly Detection by Adaptive 1D Convolu‐ tional Neural Networks
(19.05.2020)
articleThe 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 ...
