Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

A new computerised system can continuously measure functional activities of patients in a stroke rehabilitation unit

Iqbal, Arshi, Woznowski, Przemsylaw, Cooper, Allison, Preece, Alun David ORCID: and Van Deursen, Robert William Martin ORCID: 2013. A new computerised system can continuously measure functional activities of patients in a stroke rehabilitation unit. Cerebrovascular Diseases -Basel- 35 (supp 3) , p. 204.

[thumbnail of Poster Arshi Iqbal Activity Monitoring.pdf]
PDF - Accepted Post-Print Version
Download (3MB) | Preview


Background: To be able to measure patient activity in a continuous and unobtrusive manner we are developing a new automated system based on Real Time Location Technology. This would also allow us to overcome limitations of the current activity monitoring methods. Having established excellent reliability of the system (Intraclass Correlation Coefficients≥0.90) we validated it against Observational Behaviour Mapping Techniques and obtained a high level of agreement between the two methods. The mean differences for time spent in own room and physiotherapy room were 1.1 and 1.5 minutes respectively. To date, the system has measured continuous activity of 43 patients from admission to discharge. Methods: Each participant wore a Radio Frequency identification tag with an in-built motion sensor. This tag, worn on the unaffected wrist receives infra-red location signals from room locators fitted in all rooms accessed by the patients. The tag transmits the location and movement signals to a computer. Bespoke software programmes were developed to collect and process data. Descriptive statistics and charts were used for analysis. Results: Here we report the individual activity profiles of 2 patients. Summary charts (emailed separately) illustrate some individual differences in the activity of these patients. Both patients spent the majority of their time in their own rooms (mean 88.6% and 77.5%) where patient 2 was less active. Patients were most active whilst in physiotherapy (mean 98% and 95%). Conclusion: With further development of the software we are aiming to build a comprehensive picture of functional recovery. Therefore, the analysis of other key aspects such as time spent sitting in the chair, lying in bed, transfers or walking in the corridor will be added. This may also give more insight into the kind of activity undertaken in their own rooms. Ultimately, the aim is to generate a better understanding of early rehabilitation post stroke.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Healthcare Sciences
Subjects: R Medicine > R Medicine (General)
Publisher: Karger
ISSN: 1015-9770
Date of First Compliant Deposit: 30 March 2016
Last Modified: 18 May 2023 06:52

Actions (repository staff only)

Edit Item Edit Item


Downloads per month over past year

View more statistics