DocumentCode :
141136
Title :
Monitoring patients in hospital beds using unobtrusive depth sensors
Author :
Banerjee, Taposh ; Enayati, Moein ; Keller, James M. ; Skubic, Marjorie ; Popescu, Mihail ; Rantz, Marilyn
Author_Institution :
Electr. & Comput. Eng. Dept., Univ. of Missouri, Columbia, MO, USA
fYear :
2014
fDate :
26-30 Aug. 2014
Firstpage :
5904
Lastpage :
5907
Abstract :
We present an approach for patient activity recognition in hospital rooms using depth data collected using a Kinect sensor. Depth sensors such as the Kinect ensure that activity segmentation is possible during day time as well as night while addressing the privacy concerns of patients. It also provides a technique to remotely monitor patients in a non-intrusive manner. An existing fall detection algorithm is currently generating fall alerts in several rooms in the University of Missouri Hospital (MUH). In this paper we describe a technique to reduce false alerts such as pillows falling off the bed or equipment movement. We do so by detecting the presence of the patient in the bed for the times when the fall alert is generated. We test our algorithm on 96 hours obtained in two hospital rooms from MUH.
Keywords :
accidents; alarm systems; biomechanics; biomedical telemetry; feature extraction; furniture; hospitals; image motion analysis; image segmentation; medical image processing; patient monitoring; remote sensing; telemedicine; Kinect sensor; day time activity segmentation; equipment movement recognition; fall alert generation; fall detection algorithm; false alert reduction; hospital beds; hospital rooms; night time activity segmentation; nonintrusive patient monitoring; patient activity recognition; patient presence detection; patient privacy; pillow falling recognition; remote patient monitoring; unobtrusive depth sensors; Detection algorithms; Feature extraction; Hospitals; Image edge detection; Monitoring; Sensors; Three-dimensional displays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2014.6944972
Filename :
6944972
Link To Document :
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