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
Figure 1 Architecture of the internet of things for electrocardiogram monitoring.
Figure 2 Process of the proposed health monitoring system.
LSTM: Long short-term memory; RST: Rough set theory.
Figure 3 Structure of an long short-term memory unit[32].
Figure 4 Performance of different methods compared to the proposed method.
LSTM: Long short-term memory; RST: Rough set theory; PPV: Positive prediction value; NPV: Negative prediction value.
- 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