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A Kinect-Based System to Assess Lymphedema Impairments in Breast Cancer Patients

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Pattern Recognition and Image Analysis (IbPRIA 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9117))

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Abstract

Common breast cancer treatments, as the removal of axillary lymph nodes, cause severe impairments in women’s upper-body function. As a result, several daily activities are affected which contributes to a decreased QOL. Thus, the assessment of functional restrictions after treatment is essential to avoid further complications. This paper presents a pioneer work, which aims to develop an upper-body function evaluation method, traduced by the identification of lymphedema. Using the Kinect, features of the upper-limbs motion are extracted and supervised learning algorithms are used to construct a predictive classification model. Very promising results are obtained, with high classification accuracy.

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Acknowledgments

This work is financed by the FCT Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) within project UID/EEA/50014/2013

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Correspondence to Hélder P. Oliveira .

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Moreira, R., Magalhães, A., Oliveira, H.P. (2015). A Kinect-Based System to Assess Lymphedema Impairments in Breast Cancer Patients. In: Paredes, R., Cardoso, J., Pardo, X. (eds) Pattern Recognition and Image Analysis. IbPRIA 2015. Lecture Notes in Computer Science(), vol 9117. Springer, Cham. https://doi.org/10.1007/978-3-319-19390-8_26

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  • DOI: https://doi.org/10.1007/978-3-319-19390-8_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19389-2

  • Online ISBN: 978-3-319-19390-8

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