A Smart IoT System for Detecting the Position of a Lying Person Using a Novel Textile Pressure Sensor

Bedsores are one of the severe problems which could affect a long-term lying subject in the hospitals or the hospice. To prevent lying bedsores, we present a smart Internet of Things (IoT) system for detecting the position of a lying person using novel textile pressure sensors. To build such a syste...

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Vydané v:	Sensors (Basel, Switzerland) Ročník 21; číslo 1; s. 206
Hlavní autori:	Hudec, Robert, Matúška, Slavomír, Kamencay, Patrik, Benco, Miroslav
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Switzerland MDPI AG 31.12.2020 MDPI
Predmet:	Accelerometers Classification convolutional neural network data classification Experiments Humans Internet of Things IoT system Monitoring systems Neural networks Neural Networks, Computer Personal computers Posture Pressure distribution pressure sensor Pressure ulcers Prevention Prone Position Sensors smart sensor Software Telemetry Textiles Velostat pressure sensor IoT system position detection convolutional neural network data classification smart sensor Velostat
ISSN:	1424-8220, 1424-8220
On-line prístup:	Získať plný text
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