The Application of Computer Techniques to ECG Interpretation
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| Autore: |
Macfarlane Peter
|
| Titolo: |
The Application of Computer Techniques to ECG Interpretation
|
| Pubblicazione: | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica: | 1 online resource (212 p.) |
| Soggetto topico: | Medicine |
| Soggetto non controllato: | advanced interatrial block |
| age | |
| alarm fatigue | |
| ambulatory ECG | |
| annotation of ECG data | |
| arrhythmia | |
| arrhythmia alarms | |
| artificial intelligence | |
| atypical patterns | |
| automated ECG analysis | |
| big data | |
| body surface mapping | |
| cardiac disease | |
| cardiac resynchronization therapy (CRT) | |
| clinical applications | |
| computerized ECG | |
| computerized ECG interpretation | |
| computerized electrocardiograph | |
| CSE study | |
| deep learning | |
| digital ECG data interchange protocol | |
| ECG | |
| ECG analysis algorithms | |
| ECG equipment | |
| ECG interpretation | |
| eHealth | |
| electrocardiogram | |
| electrocardiogram (ECG) | |
| electrocardiographic imaging | |
| electrocardiographic imaging (ECGI) | |
| electronic cohort | |
| electrophysiology | |
| heart failure (HF) | |
| historical aspects | |
| Holter ECG | |
| image processing | |
| in silico | |
| intensive care unit | |
| interatrial block | |
| ischemia | |
| machine learning | |
| mortality | |
| n/a | |
| noise reduction | |
| partial interatrial block | |
| patient monitoring | |
| pattern recognition | |
| personalized medicine | |
| race | |
| sex | |
| speckle tracking echocardiography | |
| standardization | |
| strain | |
| telehealth | |
| telemedicine | |
| ultrasound | |
| Persona (resp. second.): | MacfarlanePeter |
| Sommario/riassunto: | This book presents some of the latest available information on automated ECG analysis written by many of the leading researchers in the field. It contains a historical introduction, an outline of the latest international standards for signal processing and communications and then an exciting variety of studies on electrophysiological modelling, ECG Imaging, artificial intelligence applied to resting and ambulatory ECGs, body surface mapping, big data in ECG based prediction, enhanced reliability of patient monitoring, and atrial abnormalities on the ECG. It provides an extremely valuable contribution to the field. |
| Titolo autorizzato: | The Application of Computer Techniques to ECG Interpretation |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910557613703321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |