Cargando…
RF Sensing Based Breathing Patterns Detection Leveraging USRP Devices
Non-contact detection of the breathing patterns in a remote and unobtrusive manner has significant value to healthcare applications and disease diagnosis, such as in COVID-19 infection prediction. During the epidemic prevention and control period of COVID-19, non-contact approaches have great signif...
Autores principales: | Rehman, Mubashir, Shah, Raza Ali, Khan, Muhammad Bilal, AbuAli, Najah Abed, Shah, Syed Aziz, Yang, Xiaodong, Alomainy, Akram, Imran, Muhmmad Ali, Abbasi, Qammer H. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8199736/ https://www.ncbi.nlm.nih.gov/pubmed/34199681 http://dx.doi.org/10.3390/s21113855 |
Ejemplares similares
-
Improving Machine Learning Classification Accuracy for Breathing Abnormalities by Enhancing Dataset
por: Rehman, Mubashir, et al.
Publicado: (2021) -
Enhancing System Performance through Objective Feature Scoring of Multiple Persons’ Breathing Using Non-Contact RF Approach
por: Rehman, Mubashir, et al.
Publicado: (2023) -
Non-Contact Smart Sensing of Physical Activities during Quarantine Period Using SDR Technology
por: Khan, Muhammad Bilal, et al.
Publicado: (2022) -
A computational stochastic procedure for solving the epidemic breathing transmission system
por: AbuAli, Najah, et al.
Publicado: (2023) -
Antennas and propagation for 5G and beyond
por: Abbasi, Qammer H, et al.
Publicado: (2020)