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DC Field | Value | Language |
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dc.contributor.author | Liu, Q | - |
dc.contributor.author | Ma, L | - |
dc.contributor.author | Fan, SZ | - |
dc.contributor.author | Abbod, M | - |
dc.contributor.author | Lu, C-W | - |
dc.contributor.author | Jen, K-K | - |
dc.contributor.author | Wu, S-J | - |
dc.contributor.author | Shieh, J-S | - |
dc.date.accessioned | 2018-06-21T10:09:27Z | - |
dc.date.available | 2018-06-21T10:09:27Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Journal of Medical Systems | en_US |
dc.identifier.issn | 0148-5598 | - |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/16405 | - |
dc.description | This is a post-peer-review, pre-copyedit version of an article published in Journal of Medical Systems. The final authenticated version is available online at: https://link.springer.com/article/10.1007/s10916-018-0999-1 | en_US |
dc.description.abstract | With critical importance of medical healthcare, there exist urgent needs for in-depth medical studies that can access and analyze specific physiological signals to provide theoretical support for practical clinical care. As a consequence, obtaining the valuable medical data with minimal cost and impacts on hospital work comes as the first concern of researchers. Anesthesia plays a widely recognized role in surgeries, which attracts people to undertake relevant research. In this paper, a real-time physiological medical signal data acquisition system (PMSDA) for the multi-operating room applications is proposed with high universality of the hospital practical settings and research requirements. By utilizing a wireless communication approach, it provides an easily accessible network platform for collection of physiological medical signals such as photoplethysmogram (PPG), electrocardiograph (ECG) and electroencephalogram (EEG) during the surgery. In addition, the raw data is stored on a server for safe backup and further analysis of depth of anesthesia (DoA). Results show that the PMSDA exhibits robust, high quality performance and efficiently reduces costs, as compared to previously used manual methods and allow seamless integration into hospital environment, independent of its routine work. Overall, it provides a pragmatic and flexible surgery-data acquisition system model with minimum impact and resource cost applicable to research in critical and practical medical circumstances. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer Verlag | en_US |
dc.rights | This is a post-peer-review, pre-copyedit version of an article published in Journal of Medical Systems. The final authenticated version is available online at: https://link.springer.com/article/10.1007/s10916-018-0999-1 | en_US |
dc.subject | anesthesia | en_US |
dc.subject | data acquiring | en_US |
dc.subject | flexible | en_US |
dc.subject | multi-operating room | en_US |
dc.title | Design and Evaluation of a Real Time Physiological Signals Acquisition System Implemented in Multi-Operating Rooms for Anesthesia | en_US |
dc.type | Article | en_US |
dc.relation.isPartOf | Journal of Medical Systems | - |
pubs.publication-status | Accepted | - |
Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
Files in This Item:
File | Description | Size | Format | |
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FullText.pdf | This is a post-peer-review, pre-copyedit version of an article published in Journal of Medical Systems. The final authenticated version is available online at: https://link.springer.com/article/10.1007/s10916-018-0999-1 | 2.02 MB | Adobe PDF | View/Open |
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