Self-Reporting Technique-Based Clinical-Trial Service Platform for Real-Time Arrhythmia Detection
The analysis of the electrocardiogram (ECG) is critical for the diagnosis of arrhythmias. Recent advances in information and communications technology (ICT) have led to the development of wearable ECG devices and arrhythmia-detection algorithms. This study aimed to develop an ICT-based clinical tria...
Main Authors: | Heejin Kim, Ki Young Huh, Meihua Piao, Hyeongju Ryu, Wooseok Yang, SeungHwan Lee, Kyung Hwan Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-04-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/9/4558 |
Similar Items
-
Development of a Mobile Application for Smart Clinical Trial Subject Data Collection and Management
by: Hyeongju Ryu, et al.
Published: (2022-03-01) -
Validation of Adhesive Single-Lead ECG Device Compared with Holter Monitoring among Non-Atrial Fibrillation Patients
by: Soonil Kwon, et al.
Published: (2021-04-01) -
Screening for atrial fibrillation and other arrhythmias in primary care
by: Kam Cheong Wong, et al.
Published: (2020-05-01) -
Detection of multi-class arrhythmia using heuristic and deep neural network on edge device
by: Arief Kurniawan, et al.
Published: (2023-11-01) -
A Watch-Type Electrocardiography Is a Reliable Tool for Detecting Paroxysmal Cardiac Arrhythmias
by: Yun Gi Kim, et al.
Published: (2022-06-01)