Enhancing Electrocardiogram (ECG) Analysis of Implantable Cardiac Monitor Data: An Efficient Pipeline for Multi-Label Classification
Implantable Cardiac Monitor (ICM) devices are demonstrating, as of today, the fastest-growing market for implantable cardiac devices. As such, they are becoming increasingly common in patients for measuring heart electrical activity. ICMs constantly monitor and record a patient’s heart rhythm, and w...
Main Authors: | Amnon Bleich, Antje Linnemann, Benjamin Jaidi, Björn H. Diem, Tim O. F. Conrad |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-10-01
|
Series: | Machine Learning and Knowledge Extraction |
Subjects: | |
Online Access: | https://www.mdpi.com/2504-4990/5/4/77 |
Similar Items
-
Correlation between the electrocardiogram amplitude detected by an implantable cardiac monitor and the implantation depth
by: Yohei Kawatani, et al.
Published: (2024-01-01) -
Design of an Open Remote Electrocardiogram (ECG) Service
by: Augusto Ciuffoletti
Published: (2019-04-01) -
Multilinear EigenECGs and FisherECGs for Individual Identification from Information Obtained by an Electrocardiogram Sensor
by: Yeong-Hyeon Byeon, et al.
Published: (2018-10-01) -
FedECG: A federated semi-supervised learning framework for electrocardiogram abnormalities prediction
by: Zuobin Ying, et al.
Published: (2023-06-01) -
ECG Simulator
by: DRAGHICIU Nicolae, et al.
Published: (2013-05-01)