Automated Identification of Heart Arrhythmias through HRV Analysis and Machine Learning
Sudden cardiac death and arrhythmia are responsible for about 15-20% of cardiovascular disease incidences. Conventionally, the prediction and diagnosis of cardiovascular disorders (CVDs) have been mainly through the evaluation of ECG patterns by cardiologists. To improve the accuracy of and automat...
Main Authors: | S. K. Lawal, I. O. Muniru, S. A. Yahaya, M. O. Ibitoye |
---|---|
Format: | Article |
Language: | English |
Published: |
Faculty of Engineering and Technology
2024-03-01
|
Series: | Nigerian Journal of Technological Development |
Subjects: | |
Online Access: | https://journal.njtd.com.ng/index.php/njtd/article/view/2208 |
Similar Items
-
Arrhythmias in children undergoing orthotopic heart transplantation
by: Eser Doğan, et al.
Published: (2024-01-01) -
Drug Candidate BGP-15 Prevents Isoproterenol-Induced Arrhythmias and Alters Heart Rate Variability (HRV) in Telemetry-Implanted Rats
by: Brigitta Bernat, et al.
Published: (2023-02-01) -
ECG characteristics of COVID‐19 patient with arrhythmias: Referral hospitals data from Indonesia
by: Yoga Yuniadi, et al.
Published: (2022-06-01) -
Postictal disorders of heart rate regulation and functional capabilities of heart in status epilepticus
by: M.L. Mamalyga, et al.
Published: (2018-06-01) -
Effect of Different Pranayamas on Respiratory Sinus Arrhythmia
by: Ananda Balayogi Bhavanani, et al.
Published: (2016-03-01)