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Modular sensor architecture for unobtrusive routine clinical diagnosis

Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

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Modular sensor architecture for unobtrusive routine clinical diagnosis. / Storz, Oliver; Friday, Adrian; Crowe, J. et al.
2004. 451-454 Paper presented at 24th International Conference on Distributed Computing Systems Workshops, Tokyo, Japan.

Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

Harvard

Storz, O, Friday, A, Crowe, J, Hayes-Gill, B, Sumner, M, Barratt, C, Palethorpe, B, Greenhalgh, C, Humble, J, Setchell, C, Randell, C, Muller, H & EPSRC (Funder) 2004, 'Modular sensor architecture for unobtrusive routine clinical diagnosis', Paper presented at 24th International Conference on Distributed Computing Systems Workshops, Tokyo, Japan, 23/03/04 - 24/03/04 pp. 451-454. <http://info.comp.lancs.ac.uk/publications/Publication_documents/2004-friday-modularsensorarchitecture.pdf>

APA

Storz, O., Friday, A., Crowe, J., Hayes-Gill, B., Sumner, M., Barratt, C., Palethorpe, B., Greenhalgh, C., Humble, J., Setchell, C., Randell, C., Muller, H., & EPSRC (Funder) (2004). Modular sensor architecture for unobtrusive routine clinical diagnosis. 451-454. Paper presented at 24th International Conference on Distributed Computing Systems Workshops, Tokyo, Japan. http://info.comp.lancs.ac.uk/publications/Publication_documents/2004-friday-modularsensorarchitecture.pdf

Vancouver

Storz O, Friday A, Crowe J, Hayes-Gill B, Sumner M, Barratt C et al.. Modular sensor architecture for unobtrusive routine clinical diagnosis. 2004. Paper presented at 24th International Conference on Distributed Computing Systems Workshops, Tokyo, Japan.

Author

Storz, Oliver ; Friday, Adrian ; Crowe, J. et al. / Modular sensor architecture for unobtrusive routine clinical diagnosis. Paper presented at 24th International Conference on Distributed Computing Systems Workshops, Tokyo, Japan.4 p.

Bibtex

@conference{142099f346394367abefe2e694bd072b,
title = "Modular sensor architecture for unobtrusive routine clinical diagnosis",
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.",
keywords = "cs_eprint_id, 882 cs_uid, 1",
author = "Oliver Storz and Adrian Friday and J. Crowe and B. Hayes-Gill and M. Sumner and C. Barratt and B. Palethorpe and C. Greenhalgh and Jan Humble and Chris Setchell and Cliff Randell and Henk Muller and {EPSRC (Funder)}",
year = "2004",
month = mar,
day = "23",
language = "English",
pages = "451--454",
note = "24th International Conference on Distributed Computing Systems Workshops ; Conference date: 23-03-2004 Through 24-03-2004",

}

RIS

TY - CONF

T1 - Modular sensor architecture for unobtrusive routine clinical diagnosis

AU - Storz, Oliver

AU - Friday, Adrian

AU - Crowe, J.

AU - Hayes-Gill, B.

AU - Sumner, M.

AU - Barratt, C.

AU - Palethorpe, B.

AU - Greenhalgh, C.

AU - Humble, Jan

AU - Setchell, Chris

AU - Randell, Cliff

AU - Muller, Henk

AU - EPSRC (Funder)

PY - 2004/3/23

Y1 - 2004/3/23

N2 - 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.

AB - 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.

KW - cs_eprint_id

KW - 882 cs_uid

KW - 1

M3 - Conference paper

SP - 451

EP - 454

T2 - 24th International Conference on Distributed Computing Systems Workshops

Y2 - 23 March 2004 through 24 March 2004

ER -