DocumentCode :
716524
Title :
Libra3D: Body weight estimation for emergency patients in clinical environments with a 3D structured light sensor
Author :
Pfitzner, Christian ; May, Stefan ; Merkl, Christian ; Breuer, Lorenz ; Kohrmann, Martin ; Braun, Joel ; Dirauf, Franz ; Nuchter, Andreas
Author_Institution :
Nuremberg Campus of Technol. Georg Simon Ohm, Nuremberg, Germany
fYear :
2015
fDate :
26-30 May 2015
Firstpage :
2888
Lastpage :
2893
Abstract :
This paper describes the application of a weight estimation method for emergency patients in clinical environments. The approach applies established algorithms for point cloud processing and filtering to data from a low-cost, structured light sensor. A patient´s volume is estimated on the basis of their visible front surface. The approach is currently being tested in the workflow of the emergency room at the Universitätsklinikum Erlangen, Germany. Preliminary results show the accuracy of the approach in relation to other conservative means of weight measurements, for example, by physicians and anthropometric measurements.
Keywords :
anthropometry; biomedical measurement; image filtering; medical image processing; optical sensors; weighing; 3D structured light sensor; Libra3D; anthropometric measurements; clinical environments; point cloud processing; weight estimation method; weight measurements; Accuracy; Back; Density measurement; Estimation; Medical services; Three-dimensional displays; Weight measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation (ICRA), 2015 IEEE International Conference on
Conference_Location :
Seattle, WA
Type :
conf
DOI :
10.1109/ICRA.2015.7139593
Filename :
7139593
Link To Document :
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