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

• Type: Article in International Conference Proceedings Book
• Date: 2015

Authors

Moreira, R (Author) Other; Magalhaes, A (Author) Other; Oliveira, HP (Author) FEUP

Conference proceedings International

Title: PATTERN RECOGNITION AND IMAGE ANALYSIS (IBPRIA 2015)

Pages: 228-236

7th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA)

Santiago de Compostela, SPAIN, JUN 17-19, 2015

Indexing

ISI Web of Knowledge - 6 Citations

Scopus - 7 Citations

Other information

Authenticus ID: P-00G-EFY

DOI: 10.1007/978-3-319-19390-8_26

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 9