A review on prediction of cardiac arrest analysis in early stage
Cardiac Arrest; Early prediction; Electrocardiogram
Cardiac arrest occurs as the heart muscle fails to contract properly, resulting in a sudden loss of blood supply. The ECG signal is one of the techniques for detecting cardiac electrical activity and is used to investigate heart block. In this paper different standardized work for early detection of cardiac arrest is described. Stages of ECG signal pre-processing involves denoised using digital filtering algorithms and extracting different features from clean ECG predicting cardiac arrest in early stage. Several other body parameters were also considered for this purpose. In this work denoising validation parameters were compared for showing effectiveness of the filtering algorithm and several body parameters and its implication on cardiac arrest was described. 2022 Author(s).
Mukherjee C.; Selvi J.T.; Ramesh M.; Thomas L.; Anusuya M.; Lakwal V.R.
https://doi.org/10.1063/5.0074439 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131202895&doi=10.1063%2f5.0074439&partnerID=40&md5=2d3a74aaa5392eda9f3ea1098a160a92
Mukherjee C., Department ECE, Christ (Deemed to Be University), Bangalore, India; Selvi J.T., Department of ECE, SriSairam Engineering College, Tambaram west, Tamilnadu, Chennai, India; Ramesh M., Department of ECE, Saveetha School of Engineering, Thandalam, Chennai, India; Thomas L., Department of Social Work, Vimala College (Autonomous) Thrissur, Kerala, India; Anusuya M., IndraGanesan College of Engineering, Manikandam, Tamilnadu, Trichy, India; Lakwal V.R., Department of Zoology, Nanasaheb Yashwantrao Narayanrao, Chavan Arts, Science and Commerce College Chalisgaon Dist, MS, Jalgaon, India