A Wearable Platform for Patient Monitoring during Mass Casualty Incidents

Based on physiological data, intelligent algorithms can assist with the classification and recognition of the most severely impaired victims. This book presents a new sensorbased triage platform with the main proposal to join different sensor and communications technologies into a portable device. T...

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Bibliographic Details
Main Author: Rodriguez Martinez, Jose David (auth)
Format: Book Chapter
Published: KIT Scientific Publishing 2018
Subjects:
Online Access:Get Fullteks
DOAB: description of the publication
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020 |a KSP/1000051989 
020 |a 9783731504863 
024 7 |a 10.5445/KSP/1000051989  |c doi 
041 0 |a English 
042 |a dc 
100 1 |a Rodriguez Martinez, Jose David  |4 auth 
245 1 0 |a A Wearable Platform for Patient Monitoring during Mass Casualty Incidents 
260 |b KIT Scientific Publishing  |c 2018 
300 |a 1 electronic resource (VII, 180 p. p.) 
506 0 |a Open Access  |2 star  |f Unrestricted online access 
520 |a Based on physiological data, intelligent algorithms can assist with the classification and recognition of the most severely impaired victims. This book presents a new sensorbased triage platform with the main proposal to join different sensor and communications technologies into a portable device. This new device must be able to assist the rescue units along with the tactical planning of the operation. This work discusses the implementation and the evaluation of the platform. 
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546 |a English 
653 |a Biosignalverarbeitung 
653 |a Biosensoren 
653 |a wearable device 
653 |a ad-hoc networks 
653 |a emergency response 
653 |a Notfallmanagement 
653 |a biosignal 
653 |a biosensors 
653 |a Ad-hoc Netzwerk 
653 |a tragbares Gerät 
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856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/62548  |7 0  |z DOAB: description of the publication