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J. Imaging 2015, 1(1), 134-155; doi:10.3390/jimaging1010134

A Kinect-Based System for Upper-Body Function Assessment in Breast Cancer Patients

1
Faculdade de Engenharia da Universidade do Porto, R. Dr. Roberto Frias, Porto 4200-465, Portugal
2
Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência - INESC TEC, R. Campus da FEUP, Dr. Roberto Frias, Porto 4200-465, Portugal
3
Faculdade de Medicina da Universidade do Porto, Alameda Prof. Hernâni Monteiro, Porto 4200-319, Portugal
*
Author to whom correspondence should be addressed.
Academic Editors: Philip Morrow, Kenji Suzuki and Gonzalo Pajares Martinsanz
Received: 16 September 2015 / Revised: 14 October 2015 / Accepted: 30 October 2015 / Published: 5 November 2015
(This article belongs to the Special Issue Image and Video Processing in Medicine)
View Full-Text   |   Download PDF [2803 KB, uploaded 5 November 2015]   |  

Abstract

Common breast cancer treatment techniques, such as radiation therapy or the surgical removal of the axillary lymphatic nodes, result in several impairments in women’s upper-body function. These impairments include restricted shoulder mobility and arm swelling. As a consequence, several daily life activities are affected, which contribute to a decreased quality of life (QOL). Therefore, it is of extreme importance to assess the functional restrictions caused by cancer treatment, in order to evaluate the quality of procedures and to avoid further complications. Although the research in this field is still very limited and the methods currently available suffer from a lack of objectivity, this highlights the relevance of the pioneer work presented in this paper, which aims to develop an effective method for the evaluation of the upper-body function, suitable for breast cancer patients. For this purpose, the use of both depth and skeleton data, provided by the Microsoft Kinect, is investigated to extract features of the upper-limbs motion. Supervised classification algorithms are used to construct a predictive model of classification, and very promising results are obtained, with high classification accuracy. View Full-Text
Keywords: quality of life; breast neoplasms/surgery; range of motion; articular; upper extremity/physiopathology; edema/epidemiology; postoperative complications/epidemiology; lymph node excision/adverse effects quality of life; breast neoplasms/surgery; range of motion; articular; upper extremity/physiopathology; edema/epidemiology; postoperative complications/epidemiology; lymph node excision/adverse effects
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Moreira, R.; Magalhães, A.; Oliveira, H.P. A Kinect-Based System for Upper-Body Function Assessment in Breast Cancer Patients. J. Imaging 2015, 1, 134-155.

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