Paper Info
Title
Binary Classification for Linear Approximated ECG Signal in IoT Embedded Edge Device
Abstract
Abnormal beat detection in electrocardiogram (ECG) signal is an important research subject. Abnormal beat detection can be used effectively for adaptive signal compression according to normal/abnormal beat, and it enable to save time and cost of arrhythmia diagnosis by providing the detected abnormal beats to cardiologist. However, the fiducial point detection for feature value extraction has low ...
Year
DOI
Venue
2021
10.1109/ICUFN49451.2021.9528670
2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN)
Keywords
DocType
ISSN
Performance evaluation,Shape,Image edge detection,Linear approximation,Clustering algorithms,Electrocardiography,Feature extraction
Conference
2165-8528
ISBN
Citations 
PageRank 
978-1-7281-6476-2
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Seung-Min Lee119326.72
DongKyu Lee284.79
daejin park3209.58