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Hamidreza Marateb, Mina Norouzirad, Kouhyar Tavakolian, Faezeh Aminorroaya, Mohammadreza Mohebbian, Miguel Ángel Mañanas, Sergio Romero Lafuente, Ramin Sami and Marjan Mansourian
Optimal allocation of ward beds is crucial given the respiratory nature of COVID-19, which necessitates urgent hospitalization for certain patients. Several governments have leveraged technology to mitigate the pandemic?s adverse impacts. Based on clinic...
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Soojeong Lee, Hyeonjoon Moon, Chang-Hwan Son and Gangseong Lee
Various machine learning models have been used in the biomedical engineering field, but only a small number of studies have been conducted on respiratory rate estimation. Unlike ensemble models using simple averages of basic learners such as bagging, ran...
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Jorge Brieva, Hiram Ponce and Ernesto Moya-Albor
The monitoring of respiratory rate is a relevant factor in medical applications and day-to-day activities. Contact sensors have been used mostly as a direct solution and they have shown their effectiveness, but with some disadvantages for example in vuln...
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Alicja Kwasniewska, Jacek Ruminski and Maciej Szankin
The proposed Super Resolution Deep Neural Network allows for improving accuracy of Respiratory Rate (RR) estimation from extremely low resolution thermal sequences, i.e., 40 × 30 pixels. To the best of our knowledge deep learning hasn?t been used for tel...
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