Copyright
©The Author(s) 2022.
World J Clin Cases. Sep 16, 2022; 10(26): 9207-9218
Published online Sep 16, 2022. doi: 10.12998/wjcc.v10.i26.9207
Published online Sep 16, 2022. doi: 10.12998/wjcc.v10.i26.9207
Table 7 Sensitivity of detection of the proposed system by cardiac arrhythmia classes
Class No. | LSTM | RST-LSTM | Class No. | LSTM | RST-LSTM |
C1 | 98.54 | 99.16 | C9 | NaN | NaN |
C2 | 86.73 | 88.57 | C10 | 98.24 | 98.65 |
C3 | 99.54 | 99.52 | C11 | NaN | NaN |
C4 | 97.98 | 98.86 | C12 | NaN | NaN |
C5 | 98.36 | 98.87 | C13 | NaN | NaN |
C6 | 89.56 | 92.19 | C14 | 97.92 | 99.03 |
C7 | NaN | NaN | C15 | NaN | NaN |
C8 | NaN | NaN | C16 | 81.57 | 82.87 |
Average sensitivity | LSTM | 94.27 | Average sensitivity | RST-LSTM | 95.30 |
- Citation: Dami S. Internet of things-based health monitoring system for early detection of cardiovascular events during COVID-19 pandemic. World J Clin Cases 2022; 10(26): 9207-9218
- URL: https://www.wjgnet.com/2307-8960/full/v10/i26/9207.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v10.i26.9207