Cargando…

Artificial Intelligence-Enhanced Smartwatch ECG for Heart Failure-Reduced Ejection Fraction Detection by Generating 12-Lead ECG

Background: We developed and validated an artificial intelligence (AI)-enabled smartwatch ECG to detect heart failure-reduced ejection fraction (HFrEF). Methods: This was a cohort study involving two hospitals (A and B). We developed the AI in two steps. First, we developed an AI model (ECGT2T) to s...

Descripción completa

Detalles Bibliográficos
Autores principales:	Kwon, Joon-myoung, Jo, Yong-Yeon, Lee, Soo Youn, Kang, Seonmi, Lim, Seon-Yu, Lee, Min Sung, Kim, Kyung-Hee
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947562/ https://www.ncbi.nlm.nih.gov/pubmed/35328207 http://dx.doi.org/10.3390/diagnostics12030654

Ejemplares similares

Age and Sex Estimation Using Artificial Intelligence From Standard 12-Lead ECGs
por: Attia, Zachi I., et al.
Publicado: (2019)

Recording of Bipolar Multichannel ECGs by a Smartwatch: Modern ECG Diagnostic 100 Years after Einthoven
por: Samol, Alexander, et al.
Publicado: (2019)

The 12-lead ECG in peripartum cardiomyopathy
por: Tibazarwa, Kemi, et al.
Publicado: (2012)

Single-Lead ECG Recordings Including Einthoven and Wilson Leads by a Smartwatch: A New Era of Patient Directed Early ECG Differential Diagnosis of Cardiac Diseases?
por: Samol, Alexander, et al.
Publicado: (2019)

Comparison of electrocardiograms (ECG) waveforms and centralized ECG measurements between a simple 6‐lead mobile ECG device and a standard 12‐lead ECG
por: Kleiman, Robert, et al.
Publicado: (2021)

Artificial Intelligence-Enabled ECG Algorithm Based on Improved Residual Network for Wearable ECG
por: Li, Hongqiang, et al.
Publicado: (2021)

An artificial intelligence–enabled ECG algorithm for comprehensive ECG interpretation: Can it pass the ‘Turing test’?
por: Kashou, Anthony H., et al.
Publicado: (2021)

Subtle QRS changes are associated with reduced ejection fraction, diastolic dysfunction, and heart failure development and therapy responsiveness: Applications for artificial intelligence to ECG
por: García‐Escobar, Artemio, et al.
Publicado: (2022)

ECG Monitoring of Reactions to Sacubitril-valsartan in Heart Failure with Reduced Ejection Fraction
por: Kang, Min-Kyung
Publicado: (2020)

Artificial intelligence assessment for early detection of heart failure with preserved ejection fraction based on electrocardiographic features
por: Kwon, Joon-myoung, et al.
Publicado: (2020)

Explainable artificial intelligence for heart rate variability in ECG signal
por: K., Sanjana, et al.
Publicado: (2020)

Deep learning of ECG waveforms for diagnosis of heart failure with a reduced left ventricular ejection fraction
por: Choi, JungMin, et al.
Publicado: (2022)

Can smartphone wireless ECGs be used to accurately assess ECG intervals in pediatrics? A comparison of mobile health monitoring to standard 12-lead ECG
por: Gropler, Melanie R. F., et al.
Publicado: (2018)

Evaluating the Risk of Paroxysmal Atrial Fibrillation in Noncardioembolic Ischemic Stroke Using Artificial Intelligence-Enabled ECG Algorithm
por: Han, Changho, et al.
Publicado: (2022)

ECG monitoring leads and special leads
por: Francis, Johnson
Publicado: (2016)

Artificial intelligence using electrocardiography: strengths and pitfalls
por: Kwon, Joon-myoung, et al.
Publicado: (2021)

Human & swine studies of concurrent 12-lead ECG & MRI
por: Tse, Zion, et al.
Publicado: (2013)

3T cardiac imaging with on-line 12-lead ECG monitoring
por: Dabaghyan, Mikayel, et al.
Publicado: (2016)

Simulating Arbitrary Electrode Reversals in Standard 12-Lead ECG
por: Krasteva, Vessela, et al.
Publicado: (2019)

Image based deep learning in 12-lead ECG diagnosis
por: Ao, Raymond, et al.
Publicado: (2023)

Artificial Intelligence-Enabled ECG Algorithm for the Prediction of Coronary Artery Calcification
por: Han, Changho, et al.
Publicado: (2022)

ECG-AI: electrocardiographic artificial intelligence model for prediction of heart failure
por: Akbilgic, Oguz, et al.
Publicado: (2021)

Optimal Lead Position in Patch-Type Monitoring Sensors for Reconstructing 12-Lead ECG Signals with Universal Transformation Coefficient
por: Lee, Dongseok, et al.
Publicado: (2020)

A comparison of manual electrocardiographic interval and waveform analysis in lead 1 of 12-lead ECG and Apple Watch ECG: A validation study
por: Saghir, Nabeel, et al.
Publicado: (2020)

Lead Reconstruction Using Artificial Neural Networks for Ambulatory ECG Acquisition
por: Grande-Fidalgo, Alejandro, et al.
Publicado: (2021)

Author Correction: Deep learning of ECG waveforms for diagnosis of heart failure with a reduced left ventricular ejection fraction
por: Choi, JungMin, et al.
Publicado: (2022)

Single-lead ECGs (AliveCor) are a feasible, cost-effective and safer alternative to 12-lead ECGs in community diagnosis and monitoring of atrial fibrillation
por: Bray, Jonathan James Hyett, et al.
Publicado: (2021)

Identifying Heart Failure in ECG Data With Artificial Intelligence—A Meta-Analysis
por: Grün, Dimitri, et al.
Publicado: (2021)

Assessment of the atrial fibrillation burden in Holter ECG recordings using artificial intelligence
por: Hennings, E, et al.
Publicado: (2023)

A cloud computing based 12-lead ECG telemedicine service
por: Hsieh, Jui-chien, et al.
Publicado: (2012)

New System for Digital to Analog Transformation and Reconstruction of 12-Lead ECGs
por: Kothadia, Roshni, et al.
Publicado: (2013)

A new electrode placement method for obtaining 12-lead ECGs
por: Khan, Gabriel M
Publicado: (2015)

The 12-Lead ECG in COVID-19: QT Prolongation Predicts Outcome
por: Akhtar, Zaki, et al.
Publicado: (2021)

Lightweight Multireceptive Field CNN for 12-Lead ECG Signal Classification
por: Feyisa, Degaga Wolde, et al.
Publicado: (2022)

Standardized Database of 12-Lead Electrocardiograms with a Common Standard for the Promotion of Cardiovascular Research: KURIAS-ECG
por: Yoo, Hakje, et al.
Publicado: (2023)

Real-ECG extraction and stroke volume from MR-Compatible 12-lead ECGs; testing during stress, in PVC and in AF patients
por: Ho Tse, Zion Tsz, et al.
Publicado: (2011)

Novel non-invasive ECG imaging method based on the 12-lead ECG for reconstruction of ventricular activation: A proof-of-concept study
por: Fruelund, Patricia Zerlang, et al.
Publicado: (2023)

A Comparative Study of ECG-derived Respiration in Ambulatory Monitoring using the Single-lead ECG
por: Varon, Carolina, et al.
Publicado: (2020)

Pilot study of the use of handheld 6-lead ECG for patients on acute general adult mental health wards who refuse traditional 12-lead ECG
por: Briley, Paul M, et al.
Publicado: (2021)

Point-of-care screening for heart failure with reduced ejection fraction using artificial intelligence during ECG-enabled stethoscope examination in London, UK: a prospective, observational, multicentre study
por: Bachtiger, Patrik, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_p9kisd9c1ng36cf7ft7bplkgc9