Article

Falls in hospitals and residential care facilities commonly occur
near the bed. The aim of this study was to investigate the accuracy of a
continuously wearable, batteryless, low power and low cost monitoring device
(Wearable Wireless Identification and Sensing Platform) with a single kinematic
sensor capable of real-time monitoring to automatically detect bed entry and exit
events. MATERIALS AND METHODS: Three dimensional acceleration readings and the
strength of the transmitted signal from the WISP was interpreted to identify bed
exit events and sensitivity, specificity and Receiving Operator Curves (ROC) were
determined. RESULTS: The sensor located over sternum method performed best with
sensitivity and specificity values of 92.8% and 97.5% respectively for detecting
bed entry and values of 90.4% and 93.80% respectively for bed exit. On the other
hand, the sensor-on-mattress algorithm achieved sensitivity and specificity
values of 84.2% and 97.4% respectively for bed entry and 79% and 97.4% for bed
exit detection. CONCLUSION: The WISP located over the sternum method is the
preferred method to detect bed entry and exit. However, further work in frail
older people is required to confirm the performance of this method.
CI - Copyright (c) 2013 Elsevier B.V. All rights reserved.

Langue : ANGLAIS