Fog-Computing-Based Heartbeat Detection and Arrhythmia Classification Using Machine Learning

Fog-Computing-Based Heartbeat Detection and Arrhythmia Classification Using Machine Learning

Designing advanced health monitoring systems is still an active research topic. Wearable and remote monitoring devices enable monitoring of physiological and clinical parameters (heart rate, respiration rate, temperature, etc.) and analysis using cloud-centric machine-learning applications and decis...

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Bibliographic Details
Main Authors: Alessandro Scirè, Fabrizio Tropeano, Aris Anagnostopoulos, Ioannis Chatzigiannakis
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Algorithms
Subjects:
ECG
automated detection of abnormalities
heartbeat classification
data mining
recurrent neural network
long-short term memory
algorithm engineering
experimental evaluation
Online Access:https://www.mdpi.com/1999-4893/12/2/32

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