Multi-Layered Cardiac Arrhythmia Detection Using RMSE Method

• Published in: 2023 IEEE International Conference on Contemporary Computing and Communications (InC4) Vol. 1; pp. 1 - 6
• Main Authors: Raja, A, Smitha, K S, Prathibbhavani, P M, Venugopal, K R
• Format: Conference Proceeding
• Language: English
• Published: IEEE 21-04-2023
• Subjects: Arrhythmia; Edge computing; Electrocardiogram; Electrocardiography; Heart beat; Image edge detection; Real-time systems; Root Mean Squared Error; Signal processing; Signal processing algorithms
• DOI: 10.1109/InC457730.2023.10263134

An unusual heartbeat is known as a cardiac arrhythmia. Heart rhythm issues develop when the electrical signals that coordinate the heartbeats are not functioning correctly. The heart beats abnormally, too quickly, or too slowly due to the poor signal. The majority of systems employ signal processing to assess electrocardiograms (ECGs). Accurate QRS (rpeak) detection is crucial for the investigation of variations in heart rate. The multi-layered framework consisting of IoT, Edge and Cloud for real-time processing of ECG data was used with cardiac arrhythmia detection using the Root Mean Square Error method. For efficient analysis of QRS detection, the suggested method uses a conventional arrhythmia data set from MIT-BIH. 29 ECG data were considered for the analysis of the proposed method and we obtained 82.75% accuracy of the arrhythmia detection.