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Measuring continuous patient activity post-stroke using a novel sensor-based computerised system

Iqbal, Arshi, Woznowski, Przemsylaw, Cooper, Allison, Preece, Alun David ORCID: and Van Deursen, Robert William Martin ORCID: 2014. Measuring continuous patient activity post-stroke using a novel sensor-based computerised system. Presented at: Welsh Stroke Conference 2014, Cardiff, UK, 4-5 June 2014. -.

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Introduction To be able to measure patient activity in a continuous and unobtrusive manner we have developed a new system based on Real Time Location Technology. Having previously established excellent reliability and validity of the system, it has been effectively used to measure patients’ walking ability and activity levels in a rehabilitation unit and at home. Method Fifty-two participants wore a Radio Frequency Identification tag on their unaffected wrist. This tag has an in-built motion sensor and continuously transmits the location and movement signals to a computer with bespoke software programmes to collect and process data. Descriptive statistics and graphs depicting average duration of walking were used for analysis. Results To date, activity levels of 25 patients during hospitalisation and of 9 patients at home have been analysed. From admission to discharge relatively small changes in activity level were observed. For instance the overall activity in own room increased by only 7% (Admission=60%; Discharge=67%). However, post-discharge activity at home decreased considerably by 54% (Discharge =73%; Home=19%). Similarly relatively low average duration of walking were observed when measured for 22 hospitalised patients; 10 minutes per day (Minimum=1minute; Maximum=90 minutes).The graphs gave in-depth information about gait recovery patterns of individual patients. Discussion So far interesting aspects of early, functional recovery post-stroke were revealed. Ultimately, the aim is to develop a comprehensive system that can provide activity feedback to patients, carers and clinicians. This could function as a motivational strategy to further improve patient activity levels in a rehabilitation unit and at home.

Item Type: Conference or Workshop Item (Poster)
Date Type: Completion
Status: Unpublished
Schools: Healthcare Sciences
Computer Science & Informatics
Funders: NISCHR
Date of First Compliant Deposit: 30 March 2016
Last Modified: 13 Dec 2022 09:39

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