Low Back Pain (LBP) is one of the most frequent musculoskeletal pathology. There is, currently, a lack of affordable and easy to use assessment tools for these patients. For the moment such kind of evaluation tools are limited to gait analysis centers. Management of LBP included physiotherapy and exercises that patients need to perform at-home. The use of serious games (games with a primary purpose other than pure entertainment) in the treatment of LBP patients is becoming more and more popular. Therefore, the aim of this paper was to develop and validate a biomechanical analysis of trunk motion during rehabilitation exercises. Results obtained with the Kinect{\texttrademark} sensor were compared with results obtained using state-of-the-art optoelectronic device. Different scores have also been developed in order to assess, in a clinically relevant way, the motions performed by the subjects. Those scores could be used to ensure that at-home exercises that need to be performed by the patients during conventional rehabilitation program or during telerehabilitation are done correctly
Bonnechère, B, Sholukha, V, Omelina, L, Jansen, B & Van Sint Jan, S 2016, Validation of trunk kinematics analysis through serious games rehabilitation exercises using the Kinect™ sensor. in 4TH WORKSHOP ON ICTS FOR IMPROVING PATIENTS REHABILITATION RESEARCH TECHNIQUES. Association for Computing Machinery (ACM), pp. 45-48, 4TH WORKSHOP ON ICTS FOR IMPROVING PATIENTS REHABILITATION RESEARCH TECHNIQUES, Lisbon, Portugal, 13/10/16.
Bonnechère, B., Sholukha, V., Omelina, L., Jansen, B., & Van Sint Jan, S. (2016). Validation of trunk kinematics analysis through serious games rehabilitation exercises using the Kinect™ sensor. In 4TH WORKSHOP ON ICTS FOR IMPROVING PATIENTS REHABILITATION RESEARCH TECHNIQUES (pp. 45-48). Association for Computing Machinery (ACM).
@inproceedings{30d4557f62dd4385914ce1e648907911,
title = "Validation of trunk kinematics analysis through serious games rehabilitation exercises using the Kinect{\texttrademark} sensor",
abstract = "Low Back Pain (LBP) is one of the most frequent musculoskeletal pathology. There is, currently, a lack of affordable and easy to use assessment tools for these patients. For the moment such kind of evaluation tools are limited to gait analysis centers. Management of LBP included physiotherapy and exercises that patients need to perform at-home. The use of serious games (games with a primary purpose other than pure entertainment) in the treatment of LBP patients is becoming more and more popular. Therefore, the aim of this paper was to develop and validate a biomechanical analysis of trunk motion during rehabilitation exercises. Results obtained with the Kinect{\texttrademark} sensor were compared with results obtained using state-of-the-art optoelectronic device. Different scores have also been developed in order to assess, in a clinically relevant way, the motions performed by the subjects. Those scores could be used to ensure that at-home exercises that need to be performed by the patients during conventional rehabilitation program or during telerehabilitation are done correctly",
author = "Bruno Bonnech{\`e}re and Victor Sholukha and Lubos Omelina and Bart Jansen and {Van Sint Jan}, Serge",
year = "2016",
language = "English",
pages = "45--48",
booktitle = "4TH WORKSHOP ON ICTS FOR IMPROVING PATIENTS REHABILITATION RESEARCH TECHNIQUES",
publisher = "Association for Computing Machinery (ACM)",
address = "United States",
note = "4TH WORKSHOP ON ICTS FOR IMPROVING PATIENTS REHABILITATION RESEARCH TECHNIQUES ; Conference date: 13-10-2016 Through 14-10-2016",
url = "http://rehab-workshop.org/",
}