A survey of context recognition in surgery.
With the introduction of operating rooms of the future context awareness has gained importance in the surgical environment. This paper organizes and reviews different approaches for recognition of context in surgery. Major electronic research databases were queried to obtain relevant publications su...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 55; no. 10; pp. 1719 - 1735 |
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| Autores principales: | , |
| Formato: | research systematic review tables/charts Journal Article |
| Publicado: |
Springer Nature
Oct2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=125206506&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 125206506 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Oct2017 vid: 55 iid: 10 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 125206506 125206506 144066871 NLM28691131 125206506 10.1007/s11517-017-1670-6 NLM28691131 125206506 ppf: 1719 ppct: 16 formats: fmt: @attributes: type: P tig: atl: A survey of context recognition in surgery. aug: au: Pernek, Igor Ferscha, Alois affil: Pervasive Computing Applications , Research Studios Austria , Vienna Austria sug: subj: Operating Rooms Statistics and Numerical Data Surgery, Computer-Assisted Statistics and Numerical Data Systems Analysis Surgeons Statistics and Numerical Data Human Systematic Review ab: With the introduction of operating rooms of the future context awareness has gained importance in the surgical environment. This paper organizes and reviews different approaches for recognition of context in surgery. Major electronic research databases were queried to obtain relevant publications submitted between the years 2010 and 2015. Three different types of context were identified: (i) the surgical workflow context, (ii) surgeon's cognitive and (iii) technical state context. A total of 52 relevant studies were identified and grouped based on the type of context detected and sensors used. Different approaches were summarized to provide recommendations for future research. There is still room for improvement in terms of methods used and evaluations performed. Machine learning should be used more extensively to uncover hidden relationships between different properties of the surgeon's state, particularly when performing cognitive context recognition. Furthermore, validation protocols should be improved by performing more evaluations in situ and with a higher number of unique participants. The paper also provides a structured outline of recent context recognition methods to facilitate development of new generation context-aware surgical support systems. pubtype: Academic Journal doctype: research systematic review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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