+ Site Statistics
+ Search Articles
+ PDF Full Text Service
How our service works
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ Translate
+ Recently Requested

Detection of patient's bed statuses in 3D using a Microsoft Kinect



Detection of patient's bed statuses in 3D using a Microsoft Kinect



Conference Proceedings 2014: 5900-5903



Patients spend the vast majority of their hospital stay in an unmonitored bed where various mobility factors can impact patient safety and quality. Specifically, bed positioning and a patient's related mobility in that bed can have a profound impact on risks such as pneumonias, blood clots, bed ulcers and falls. This issue has been exacerbated as the nurse-per-bed (NPB) ratio has decreased in recent years. To help assess these risks, it is critical to monitor a hospital bed's positional status (BPS). Two bed positional statuses, bed height (BH) and bed chair angle (BCA), are of critical interests for bed monitoring. In this paper, we develop a bed positional status detection system using a single Microsoft Kinect. Experimental results show that we are able to achieve 94.5% and 93.0% overall accuracy of the estimated BCA and BH in a simulated patient's room environment.

Please choose payment method:






(PDF emailed within 0-6 h: $19.90)

Accession: 057588170

Download citation: RISBibTeXText

PMID: 25571339

DOI: 10.1109/embc.2014.6944971


Related references

Patient walk detection in hospital room using Microsoft Kinect V2. Conference Proceedings 2016: 4395-4398, 2016

Fall detection in homes of older adults using the Microsoft Kinect. IEEE Journal of Biomedical and Health Informatics 19(1): 290-301, 2015

Implementation of facial recognition with Microsoft Kinect v2 sensor for patient verification. Medical Physics 44(6): 2391-2399, 2017

Efficient source separation algorithms for acoustic fall detection using a microsoft kinect. IEEE Transactions on Bio-Medical Engineering 61(3): 745-755, 2014

Heart Rate Detection Using Microsoft Kinect: Validation and Comparison to Wearable Devices. Sensors 17(8):, 2017

Detection of Cardiopulmonary Activity and Related Abnormal Events Using Microsoft Kinect Sensor. Sensors 18(3):, 2018

Using the Microsoft Kinect for patient size estimation and radiation dose normalization: proof of concept and initial validation. Journal of Digital Imaging 26(4): 657-662, 2013

Design and Test of a Closed-Loop FES System for Supporting Function of the Hemiparetic Hand Based on Automatic Detection using the Microsoft Kinect sensor. IEEE Transactions on Neural Systems and Rehabilitation Engineering 25(8): 1249-1256, 2017

Evaluation of the Microsoft Kinect for screening ACL injury. Conference Proceedings 2013: 4152-4155, 2013

The use of the Microsoft Kinect to measure thoracic kyphosis. PhysioTherapy 101: E1243-E1244, 2015

Evaluation of foot posture using the Microsoft Kinect. Journal of Science and Medicine in Sport 16: E24-E25, 2013

An Egg Volume Measurement System Based on the Microsoft Kinect. Sensors 18(8):, 2018

Towards a detailed anthropometric body characterization using the Microsoft Kinect. Technology and Health Care 24(2): 251-265, 2016

An evaluation of 3D head pose estimation using the Microsoft Kinect v2. Gait and Posture 48: 83-88, 2016

Real-time posture reconstruction for Microsoft Kinect. IEEE Transactions on Cybernetics 43(5): 1357-1369, 2013