Author:
Tiwari Shamik,Jain Anurag,Sapra Varun,Koundal Deepika,Alenezi Fayadh,Polat Kemal,Alhudhaif Adi,Nour Majid
Funder
University of Petroleum and Energy Studies
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference63 articles.
1. (2017) Application of deep convolutional neural network for automated detection of myocardial infarction using EKG signals;Acharya;Information Sciences,2017
2. AD8232 EKG sensor, (2022): https://components101.com/modules/ad8232-EKG-module.
3. Aghdam, Z.N., Rahmani, A.M. and Hosseinzadeh, M. (2020). The Role of the Internet of Things in Healthcare: Future Trends and Challenges. Computer methods and programs in biomedicine, p.105903.
4. Design and implementation of a low-cost EKG monitoring system for the patient using a smartphone;Ahamed,2015
5. Aljuaid, M., Marashly, Q., AlDanaf, J., Tawhari, I., Barakat, M., Barakat, R., … Marrouche, N.F. (2020). Smartphone EKG monitoring system helps lower emergency room and clinic visits in post–atrial fibrillation ablation patients. Clinical Medicine Insights: Cardiology, 14, p.1179546820901508.
Cited by
28 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献