E-viri
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Prasetya, Suisbiyanto; Santiko, Arief Budi; Adi, Puput Dani Prasetyo; Wahyu, Yuyu; Rahmatullah, Rizky; Wicaksana, B.Berlian Surya; Bissa, Stevry Yushady Ch; Yanti, Riyani Jana; Pramudita, Aloysius Adya
2023 International Seminar on Intelligent Technology and Its Applications (ISITIA), 2023-July-26Conference Proceeding
Radar technology for health continues to be developed, one of which is from this research, which focuses on Respiratory patients. Not only in terms of FMCW Radar analysis for medical but also in terms of flexibility in displaying data that can be integrated with smartphone devices used by many people today. One of the servers used is MQTT, which has been installed and successfully displayed realtime patient respiratory data. In the future, this research will be installed using a permanent casing that is more fixed and stable in the connectivity process between devices, involving the Raspberry Pi 4 B and OmniPreSense Radar. The data is integrated into the MQTT server with the patient's respiratory data and produces realtime data in the form of respiratory data graphs.
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Dostop do baze podatkov JCR je dovoljen samo uporabnikom iz Slovenije. Vaš trenutni IP-naslov ni na seznamu dovoljenih za dostop, zato je potrebna avtentikacija z ustreznim računom AAI.
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
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Vir: Osebne bibliografije
in: SICRIS
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