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Modular sensor architecture for unobtrusive routine clinical diagnosis

Storz, Oliver and Friday, Adrian and Crowe, J. and Hayes-Gill, B. and Sumner, M. and Barratt, C. and Palethorpe, B. and Greenhalgh, C. and Humble, Jan and Setchell, Chris and Randell, Cliff and Muller, Henk and , EPSRC (Funder) (2004) Modular sensor architecture for unobtrusive routine clinical diagnosis. In: 24th International Conference on Distributed Computing Systems Workshops, 2004-03-232004-03-24, Tokyo, Japan.

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    Abstract

    Clinical diagnosis of pathological conditions is accomplished regularly via the recording and subsequent analysis of a physiological variable from a subject. Problems with current common practice centre around the obtrusive and rigid nature of this process. These include the length, timing and location of the diagnostic recording session, transfer of data to clinical staff, liaison between clinical staff and subjects and the integration of such diagnostic check-ups into the overall health care process. We have designed a modular diagnostic monitor that is centered around a wearable computer system which, when integrated into a suitable computer network and database architecture, is capable of addressing the above problems. The system is modular, allowing researchers and practitioners to utilise various sensor modules, reconfigure the unit in terms of its on-board storage and wireless telemetry capabilities, select the appropriate level of data preprocessing (before archiving data) and choose the appropriate level and nature of feedback to the subject. The system is GRID enabled, supporting e-clinical-trials. GRID clients can display live data, historical data, or perform data mining.

    Item Type: Conference or Workshop Item (Paper)
    Journal or Publication Title: 24th International Conference on Distributed Computing Systems Workshops
    Uncontrolled Keywords: cs_eprint_id ; 882 cs_uid ; 1
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Departments: Faculty of Science and Technology > School of Computing & Communications
    ID Code: 12414
    Deposited By: ep_importer_comp
    Deposited On: 14 May 2008 14:45
    Refereed?: Yes
    Published?: Published
    Last Modified: 27 Jul 2012 01:48
    Identification Number:
    URI: http://eprints.lancs.ac.uk/id/eprint/12414

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