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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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Junichiro Hayano, Norihiro Ueda, Masaya Kisohara, Yutaka Yoshida, Haruhito Tanaka and Emi Yuda
This study proposes a new bio-signal marker that could be used for estimating non-REM sleep periods from nighttime heartbeat signals obtained by wearable electrographic and pulse wave sensors.
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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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Ilde Lorato, Tom Bakkes, Sander Stuijk, Mohammed Meftah and Gerard de Haan
Low-resolution thermal cameras have already been used in the detection of respiratory flow. However, microbolometer technology has a high production cost compared to thermopile arrays. In this work, the feasibility of using a thermopile array to detect r...
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Mehmet Tastan and Hayrettin Gökozan
Today, air pollution is the biggest environmental health problem in the world. Air pollution leads to adverse effects on human health, climate and ecosystems. Air is contaminated by toxic gases released by industry, vehicle emissions and the increased co...
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