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Published at November 27Advancements in Myocardial Infarction Detection and Classification Using Wearable Devices: A Comprehensive Review
cs.LG
Released Date: November 27, 2024
Authors: Abhijith S1, Arjun Rajesh1, Mansi Manoj1, Sandra Davis Kollannur1, Sujitta R V1, Jerrin Thomas Panachakel1
Aff.: 1Dept. of Electronics and Comm. Engg., College of Engineering, Trivandrum, India
| Serial No | Reference | Classification Method | Accuracy |
|---|---|---|---|
| 1 | D. Sopic et al.[1] | Two level SVM Classifier | 90% |
| 2 | M. Odema et al [2] | BCNN | 91.22% |
| 3 | N. Rashid et al [3] | BCNN | 90.29% |
| 4 | D. Sopic et al [5] | Two level Hierachiacal classifiation | 83.26% |
| 5 | Yu-Hung Chuang et al [6] | MLP Classififer | 99.72% |
| 6 | X. Ma et al [7] | CDD net | 98. 95% |
| 7 | Hadjem et al [8] | Statistical method | 73% |