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    Artificial Intelligence, Intelligence Systems, Neural Networks
    Responsible for the Section: doctor of technical Sciences Vyacheslav Khachumov., 
	candidate of technical Sciences Eugene Kurshev. 
        On the left: assigned number of the paper, submission date, the number 
		of A5 pages contained in the paper,
		and the reference to the full-text PDF
        /r1/pdf.jpg) . 
      
      
        
          | Article # 
			16_2020 19 
			p. 
          /r2/pdf.jpg) PDF | submitted on 26th
			May 2020 displayed on 
			website on
			03th 
			Sept     
			2020 Irina V. 
			Pospelova, Dmitriy S. Bragin, Irina V. Cherepanova, Victoria N. 
			SerebryakovaOptical 
			technologies of local positioning in healthcare (an analytic review)
 
			Local positioning is the determination of the 
			location of moving objects in a closed space in real-time. The use 
			of indoor-positioning systems as part of telemedicine systems will 
			make it possible to quickly locate the patient’s location in cases 
			where his vital signs deteriorate sharply and promptly provide him 
			with the necessary medical care. It is especially important to track 
			the movements of patients undergoing complex surgical interventions. 
			The article aims to assess the applicability of optical technologies 
			for determining the location of patients inside a hospital building.The article contains an analytical review of scientific sources 
			devoted to local positioning based on optical technologies. The 
			study revealed the advantages and disadvantages of the considered 
			approaches. Each of them can be used in medical local positioning 
			systems.
 Recommendations for selecting the technological basis of local 
			positioning systems are presented, reflecting the features of use in 
			medical institutions. 
			(In Russian).
 
			 Key words: telehealth, IPS, indoor-positioning, local 
			positioning systems, optical technologies of local positioning, 
			infrared emission, VLC technology, positioning in visible light, 
			positioning in infrared emission.
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          | article citation | http://psta.psiras.ru/read/psta2020_3_133-151.pdf |  
          |  DOI | 
			 
			
			https://doi.org/10.25209/2079-3316-2020-11-3-133-151 |  
    • Mathematical Modelling •• Mathematical Foundations of Programming •
 • Supercomputing Software and Hardware •
 • Software and Hardware for Distributed Systems and Supercomputers •
 • Artificial Intelligence, Intelligence Systems, Neural Networks •
 
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