loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
24th International Conference on Distributed Computing Systems Workshops - W3: IWSAWC (ICDCSW'04)
Modular Sensor Architecture for Unobtrusive Routine Clinical Diagnosis
Hachioji, Tokyo, Japan
March 23-March 24
ISBN: 0-7695-2087-1
John Crowe, University of Nottingham
Barrie Hayes-Gill, University of Nottingham
Mark Sumner, University of Nottingham
Carl Barratt, University of Nottingham
Ben Palethorpe, University of Nottingham
Chris Greenhalgh, University of Nottingham
Oliver Storz, University of Lancaster
Adrian Friday, University of Lancaster
Jan Humble, University of Nottingham
Chris Setchell, University of Bristol
Cliff Randell, University of Bristol
Henk L Muller, University of Bristol

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.

Citation:
John Crowe, Barrie Hayes-Gill, Mark Sumner, Carl Barratt, Ben Palethorpe, Chris Greenhalgh, Oliver Storz, Adrian Friday, Jan Humble, Chris Setchell, Cliff Randell, Henk L Muller, "Modular Sensor Architecture for Unobtrusive Routine Clinical Diagnosis," icdcsw, vol. 3, pp.451-454, 24th International Conference on Distributed Computing Systems Workshops - W3: IWSAWC (ICDCSW'04), 2004
Usage of this product signifies your acceptance of the Terms of Use.