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Novel estimation technique for the carrier-to-noise ratio of wireless medical telemetry using software-defined radio with machine-learning
In this study, we developed a novel machine-learning model to estimate the carrier-to-noise ratio (CNR) of wireless medical telemetry (WMT) using time-domain waveform data measured by a low-cost software-defined radio. With automatic estimation of CNR, the management of the electromagnetic environme...
Autor principal: | Kai, Ishida |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10011537/ https://www.ncbi.nlm.nih.gov/pubmed/36914659 http://dx.doi.org/10.1038/s41598-023-31225-3 |
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