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Patient condition monitoring modular hospital robot

Mamun, Kabir and Islam, F M Rabiul and Sharma, Alokanand and Hoque, A.S.M. and Szecsi, T. (2016) Patient condition monitoring modular hospital robot. Journal of Software, 11 (8). pp. 768-786. ISSN 1796-217X

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    Abstract

    In this paper an intelligent system for remote patient physical condition monitoring service module for an Intelligent Robot Swarm for Attendance, Recognition, Cleaning and Delivery (iWARD) [1] is reported. The system algorithm and module software is implemented in C/C++, and the Orca robotics [2] components use the OpenCV [3] image analysis and processing library. The system is successfully tested on Linux (Ubuntu) platform as well as on a web server. The patient condition monitoring system can remotely measure the following body conditions: body temperature (BTemp), heart rate (HR), electrocardiogram (ECG), respiration rate (RR), body acceleration (BA) using sensors attached to the patient’s body. The system also includes an RGB video camera and a 3D laser sensor, which monitor the environment in order to find any patient lying on the floor. The system deals with various image-processing and sensor fusion techniques. The iWARD patient condition monitoring module evaluation tests were carried out in front of thirty healthcare professionals (doctors, nurses, nursing lecturers and healthcare assistances etc) during the final review meeting of the consortium and in two teaching hospitals (in Newcastle and San Sebastian, 2009) in Europe. The post iWARD system improved upon the prototype by adding a 3D laser sensor and replacing the original camera with a high quality Pan-Tilt-Zoom (PTZ) camera and implementing the identity detection methods. This allowed for the use of more robust patient condition monitoring algorithms. The outcomes of this research have significant contribution to the robotics application area in the hospital environment.

    Item Type: Journal Article
    Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > Robotics and Automation
    Divisions: Faculty of Science, Technology and Environment (FSTE) > School of Engineering and Physics
    Depositing User: Kabir Mamun
    Date Deposited: 23 Aug 2016 15:43
    Last Modified: 23 Aug 2016 15:43
    URI: http://repository.usp.ac.fj/id/eprint/9180
    UNSPECIFIED

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