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 electronic resource (212 p.) |
| Soggetto topico: | Medicine |
| Soggetto non controllato: | electrocardiographic imaging (ECGI) |
| heart failure (HF) | |
| cardiac resynchronization therapy (CRT) | |
| ultrasound | |
| strain | |
| speckle tracking echocardiography | |
| in silico | |
| electrophysiology | |
| electrocardiogram | |
| ECG | |
| cardiac disease | |
| arrhythmia | |
| ischemia | |
| standardization | |
| computerized ECG | |
| personalized medicine | |
| telemedicine | |
| digital ECG data interchange protocol | |
| eHealth | |
| ECG equipment | |
| computerized electrocardiograph | |
| ECG analysis algorithms | |
| computerized ECG interpretation | |
| interatrial block | |
| partial interatrial block | |
| advanced interatrial block | |
| atypical patterns | |
| electrocardiogram (ECG) | |
| automated ECG analysis | |
| CSE study | |
| age | |
| sex | |
| race | |
| historical aspects | |
| electronic cohort | |
| mortality | |
| big data | |
| telehealth | |
| alarm fatigue | |
| annotation of ECG data | |
| arrhythmia alarms | |
| intensive care unit | |
| patient monitoring | |
| ambulatory ECG | |
| machine learning | |
| deep learning | |
| pattern recognition | |
| noise reduction | |
| Holter ECG | |
| ECG interpretation | |
| artificial intelligence | |
| body surface mapping | |
| electrocardiographic imaging | |
| image processing | |
| clinical applications | |
| 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 |