Search Results - "Knoery, Charles"
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Data driven feature selection and machine learning to detect misplaced V1 and V2 chest electrodes when recording the 12‑lead electrocardiogram
Published in Journal of electrocardiology (01-11-2019)“…AbstractBackgroundElectrocardiogram (ECG) lead misplacement can adversely affect ECG diagnosis and subsequent clinical decisions. V1 and V2 are commonly placed…”
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An exploratory analysis investigating blood protein biomarkers to augment ECG diagnosis of ACS
Published in Journal of electrocardiology (01-11-2019)“…AbstractBackgroundAcute Coronary Syndrome (ACS) is currently diagnosed using a 12‑lead Electrocardiogram (ECG). Our recent work however has shown that…”
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Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications
Published in Artificial intelligence in medicine (01-10-2022)“…The application of artificial intelligence to interpret the electrocardiogram (ECG) has predominantly included the use of knowledge engineered rule-based…”
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A review of factors associated with maintenance of sinus rhythm after elective electrical cardioversion for atrial fibrillation
Published in Clinical cardiology (Mahwah, N.J.) (01-06-2018)“…Atrial fibrillation is the most common heart‐rhythm disorder, affecting about 1.5% to 2% of the population with an increased risk of mortality and morbidity…”
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What do we mean by complex percutaneous coronary intervention? An assessment of agreement amongst interventional cardiologists for defining complexity
Published in Catheterization and cardiovascular interventions (01-07-2023)“…Background In the last decade, percutaneous coronary intervention (PCI) has evolved toward the treatment of complex disease in patients with multiple…”
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Machine learning techniques for detecting electrode misplacement and interchanges when recording ECGs: A systematic review and meta-analysis
Published in Journal of electrocardiology (01-09-2020)“…Electrode misplacement and interchange errors are known problems when recording the 12‑lead electrocardiogram (ECG). Automatic detection of these errors could…”
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“What was AI thinking?”: Explainable deep learning in reading of 12-lead ECGs for detecting V1 and V2 electrode misplacement
Published in Journal of electrocardiology (01-11-2021)“…Background ECG data quality can be affected by lead misplacement which can affect clinical decisions. VI and V2 are commonly misplaced in the superior…”
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Journal Article -
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Using latent class analysis to identify clinical features of patients with occlusive myocardial infarction: Preangiogram prediction remains difficult
Published in Clinical cardiology (Mahwah, N.J.) (01-02-2022)“…Background Treatment decisions in myocardial infarction (MI) are currently stratified by ST elevation (ST‐elevation myocardial infarction [STEMI]) or lack of…”
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Systematic Review of Clinical Decision Support Systems for Prehospital Acute Coronary Syndrome Identification
Published in Critical pathways in cardiology (01-09-2020)“…Timely prehospital diagnosis and treatment of acute coronary syndrome (ACS) are required to achieve optimal outcomes. Clinical decision support systems (CDSS)…”
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10
Shock index predicts up to 90-day mortality risk after intracerebral haemorrhage
Published in Clinical neurology and neurosurgery (01-11-2021)“…Shock index (SI - heart rate/systolic blood pressure) has been studied as a measure of haemodynamic status. We aimed to determine whether SI measures within…”
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Percutaneous treatment of a massive saphenous vein graft aneurysm
Published in Catheterization and cardiovascular interventions (01-04-2019)“…Saphenous vein graft (SVG) aneurysms are a rare, frequently late presenting, potentially fatal complication of coronary artery bypass graft (CABG) surgery…”
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Feature Engineering and Machine Learning for the Auto-Detection of Misplaced V1 and V2 Chest Electrodes when Recording 12-lead ECGs
Published in Journal of electrocardiology (01-11-2019)“…Background: Electrocardiogram (ECG) lead misplacement can adversely affect ECG diagnosis and subsequent clinical decisions. V1 and V2 are commonly placed too…”
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Journal Article -
13
Modified early warning score and risk of mortality after acute stroke
Published in Clinical neurology and neurosurgery (01-03-2021)“…•Stroke is a common cause of mortality especially in the acute phase of stroke onset.•A raised modified early warning score is an accurate indicator of…”
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Reliable Deep Learning-Based Detection of Misplaced Chest Electrodes During Electrocardiogram Recording: Algorithm Development and Validation
Published in JMIR medical informatics (16-04-2021)“…A 12-lead electrocardiogram (ECG) is the most commonly used method to diagnose patients with cardiovascular diseases. However, there are a number of possible…”
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Computational time series analysis of patient referrals to a primary percutaneous coronary intervention service
Published in Health informatics journal (01-09-2020)“…This article retrospectively analyses a primary percutaneous coronary intervention dataset comprising patient referrals that were accepted for percutaneous…”
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Comparing Single-Page, Multipage, and Conversational Digital Forms in Health Care: Usability Study
Published in JMIR human factors (26-05-2021)“…Background Even in the era of digital technology, several hospitals still rely on paper-based forms for data entry for patient admission, triage, drug…”
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Human-Computer Agreement of Electrocardiogram Interpretation for Patients Referred to and Declined for Primary Percutaneous Coronary Intervention: Retrospective Data Analysis Study
Published in JMIR medical informatics (02-03-2021)“…When a patient is suspected of having an acute myocardial infarction, they are accepted or declined for primary percutaneous coronary intervention partly based…”
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Unsupervised Machine Learning Elicits Patient Archetypes in a Primary Percutaneous Coronary Intervention Service
Published in 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (01-11-2019)“…A primary percutaneous coronary intervention (PPCI) re-establishes blood flow in an obstructed coronary artery. PPCI referrals vary in admission criteria…”
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Conference Proceeding -
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Predicting 30 days Mortality in STEMI Patients using Patient Referral Data to a Primary Percutaneous Coronary Intervention Service
Published in 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (01-11-2019)“…Primary percutaneous coronary intervention (PPCI) is a minimally invasive procedure to unblock the arteries which carry blood to the heart. This procedure is…”
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Conference Proceeding -
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Machine Learning to Predict 30 Days and 1-Year Mortality in STEMI and Turndown Patients
Published in 2020 Computing in Cardiology (13-09-2020)“…Primary percutaneous coronary intervention (PPCI) is a minimally invasive procedure to unblock the arteries which carry blood to the heart. Referred patients…”
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Conference Proceeding