@article{lv_editorial_2017,
	title = {Editorial: {Recent} research in medical technology based on multimedia and pattern recognition},
	volume = {220},
	issn = {0925-2312},
	url = {https://search.ebscohost.com/login.aspx?direct=true&AuthType=ip,uid&db=psyh&AN=2016-58502-002&site=ehost-live},
	doi = {10.1016/j.neucom.2016.08.097},
	abstract = {This editorial provides an overview of the articles featured in the issue of Neurocomputing: An International Journal. Multimedia and Pattern Recognition based medical technology can explore and utilize multimedia information from multiple sources, including video streams, images, voice, heartbeat and blood pressure data. Based on these kinds of technologies, medical device is able to percept, process in real-time, analyze and evaluate multi-source and multi-dimensional data, thus has been widely used in disease diagnosis, rehabilitation, health monitoring, assisted surgery and other medical area. Many of these applications require the multimedia and pattern recognition paradigm using medical sensors. The notion of neurocomputing is becoming a reality with the development of variety of multimedia technologies. The intelligence functions of multimedia and pattern recognition technologies can be applied to Smart Hospital, Smart Clinic, Smart Medical Application for Individual. Accordingly, the assessment and evaluation methods need to be developed and involved into the iterative designing process. (PsycINFO Database Record (c) 2016 APA, all rights reserved)},
	journal = {Neurocomputing: An International Journal},
	author = {Lv, Zhihan and Wang, Jim Jingyan and Yin, Tengfei},
	month = jan,
	year = {2017},
	note = {Publisher: Elsevier Science},
	keywords = {Algorithms, Artificial Intelligence, Pattern Recognition (Computer Science), Scientific Communication, Technology, algorithms, artificial intelligence, neurocomputation, pattern recognition, scientific communication, technology},
	pages = {1--4},
}

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Based on these kinds of technologies, medical device is able to percept, process in real-time, analyze and evaluate multi-source and multi-dimensional data, thus has been widely used in disease diagnosis, rehabilitation, health monitoring, assisted surgery and other medical area. Many of these applications require the multimedia and pattern recognition paradigm using medical sensors. The notion of neurocomputing is becoming a reality with the development of variety of multimedia technologies. The intelligence functions of multimedia and pattern recognition technologies can be applied to Smart Hospital, Smart Clinic, Smart Medical Application for Individual. Accordingly, the assessment and evaluation methods need to be developed and involved into the iterative designing process. (PsycINFO Database Record (c) 2016 APA, all rights reserved)","journal":"Neurocomputing: An International Journal","author":[{"propositions":[],"lastnames":["Lv"],"firstnames":["Zhihan"],"suffixes":[]},{"propositions":[],"lastnames":["Wang"],"firstnames":["Jim","Jingyan"],"suffixes":[]},{"propositions":[],"lastnames":["Yin"],"firstnames":["Tengfei"],"suffixes":[]}],"month":"January","year":"2017","note":"Publisher: Elsevier Science","keywords":"Algorithms, Artificial Intelligence, Pattern Recognition (Computer Science), Scientific Communication, Technology, algorithms, artificial intelligence, neurocomputation, pattern recognition, scientific communication, technology","pages":"1–4","bibtex":"@article{lv_editorial_2017,\n\ttitle = {Editorial: {Recent} research in medical technology based on multimedia and pattern recognition},\n\tvolume = {220},\n\tissn = {0925-2312},\n\turl = {https://search.ebscohost.com/login.aspx?direct=true&AuthType=ip,uid&db=psyh&AN=2016-58502-002&site=ehost-live},\n\tdoi = {10.1016/j.neucom.2016.08.097},\n\tabstract = {This editorial provides an overview of the articles featured in the issue of Neurocomputing: An International Journal. Multimedia and Pattern Recognition based medical technology can explore and utilize multimedia information from multiple sources, including video streams, images, voice, heartbeat and blood pressure data. Based on these kinds of technologies, medical device is able to percept, process in real-time, analyze and evaluate multi-source and multi-dimensional data, thus has been widely used in disease diagnosis, rehabilitation, health monitoring, assisted surgery and other medical area. Many of these applications require the multimedia and pattern recognition paradigm using medical sensors. The notion of neurocomputing is becoming a reality with the development of variety of multimedia technologies. The intelligence functions of multimedia and pattern recognition technologies can be applied to Smart Hospital, Smart Clinic, Smart Medical Application for Individual. Accordingly, the assessment and evaluation methods need to be developed and involved into the iterative designing process. (PsycINFO Database Record (c) 2016 APA, all rights reserved)},\n\tjournal = {Neurocomputing: An International Journal},\n\tauthor = {Lv, Zhihan and Wang, Jim Jingyan and Yin, Tengfei},\n\tmonth = jan,\n\tyear = {2017},\n\tnote = {Publisher: Elsevier Science},\n\tkeywords = {Algorithms, Artificial Intelligence, Pattern Recognition (Computer Science), Scientific Communication, Technology, algorithms, artificial intelligence, neurocomputation, pattern recognition, scientific communication, technology},\n\tpages = {1--4},\n}\n\n\n\n","author_short":["Lv, Z.","Wang, J. 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