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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Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Vol. 21; no. 1; p. 206
Main Authors:	Hudec, Robert, Matúška, Slavomír, Kamencay, Patrik, Benco, Miroslav
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 31.12.2020 MDPI
Subjects:	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
Online Access:	Get full text
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