Gaming camera could aid MS treatment
Kinect 3D camera used to assess walking of MS patients.
A team of researchers led by McGill University postdoctoral fellow Farnood Gholami, supervised by Jozsef Kövecses from the Department of Mechanical Engineering and Centre for Intelligent Machines, collaborated with Daria Trojan, a physiatrist in the Department of Neurology and Neurosurgery working at the Montréal Neurological Institute and Hospital, to test whether the Kinect could detect the differences in gait of MS patients compared to healthy individuals. Shawn Hayward photo, EurekAlert!
McGill University August 15, 2016
In a recent issue of IEEE Journal of Biomedical and Health Informatics, researchers from McGill University in Canada describe the development of a gait assessment system based on a Microsoft Kinect 3D camera. Intended to be used for evaluating the walking characteristics of patients with multiple sclerosis, the goal of the project was to produce a way of objectively measuring how a patient’s walking abilities change between sessions.
A commonly used device found in living rooms around the world could be a cheap and effective means of evaluating the walking difficulties of multiple sclerosis (MS) patients.
The Microsoft Kinect is a 3D depth-sensing camera used in interactive video activities such as tennis and dancing. It can be hooked up to an Xbox gaming console or a Windows computer.
In current clinical practice, the walking movement of MS patients is usually assessed by their doctors, and subjective evaluations may distort results: two different clinicians may give the same patient different evaluations. Using a camera that detects movement and computer algorithms that quantify the patients’ walking patterns can reduce potential for human error.
Improved front-view tracking of human skeleton from Kinect data for rehabilitation support in multiple sclerosis. IEEE
Gholami captured the movement of 10 MS patients and 10 members of an age-and-sex-matched control group using the Kinect device. The MS patients had previously been assessed for gait abnormalities using the traditional clinician method.
Using the data, the team then developed computer algorithms that quantified gait characteristics of MS patients and healthy people. The investigators found that gait characteristics measured with the Kinect camera and analyzed with the developed algorithms were reproducible when assessed at one visit and were different between MS patients and the healthy individuals. Moreover, the gait characteristics of MS patients obtained by the algorithm were correlated with clinical measures of gait. In addition, the algorithms could mathematically define the characteristics of gait in MS patients at different severity levels, accurately determining his/her level of gait abnormality.
Gholami says he became interested in using motion capture technology for clinical purposes as a PhD student, but the equipment he was using at the time was very expensive, difficult to use, and non-portable, making widespread clinical use prohibitive. The Kinect device gave him an inexpensive tool to use that appears to be still accurate enough to do the job.
| 3D depth-sensing camera shown to measure walking difficulties. A commonly used device found in living rooms around the world could be a cheap and effective means of evaluating the walking difficulties of multiple sclerosis (MS) patients. Published on YouTube Aug 15, 2016 |
“This tool may help the clinician provide a better diagnosis of gait pathology, and may be used to observe if a prescribed medication has been effective on the gait of the patient or not,” he says. “Our developed framework can likely be used for other diseases causing gait abnormalities as well, for instance Parkinson’s disease.”
Trojan says the tool could be useful “to assess treatment effects of certain interventions such as rehabilitation or medication, and to document MS disease progression as reflected by gait deterioration. It may also be useful as a measure in clinical trials.”
The next step is to conduct a study with a larger group of MS patients including evaluation in a gait laboratory, and using a newer version of the Kinect device that promises to improve accuracy, Gholami says.
This work was completed in collaboration with Behnood Gholami at AreteX Systems Inc., Hoboken, NJ, and Wassim M. Haddad at Georgia Institute of Technology, Atlanta, GA.
The full research paper was published in the IEEE Journal of Biomedical and Health Informatics on July 21, 2016. This research was made possible with funds from the Natural Sciences and Engineering Research Council of Canada.
Source McGill University via medgadget
| References |
A Microsoft Kinect-Based Point-of-Care Gait Assessment Framework for Multiple Sclerosis Patients, Gholami F, Trojan D, Kovecses J, Haddad W, Gholami B. IEEE J Biomed Health Inform. 2016 Jul 21. [Epub ahead of print]
art3A10.11862F1743-0003-11-89
Using perceptive computing in multiple sclerosis – the Short Maximum Speed Walk test, Janina Behrens, Caspar Pfüller, Sebastian Mansow-Model, Karen Otte, Friedemann Paul and Alexander U Brandt. Journal of NeuroEngineering and Rehabilitation 2014 11:89 DOI: 10.1186/1743-0003-11-89
10.5923.j.sports.20150504.02
The Use of Microsoft Kinect for Human Movement Analysis, Carlos Zerpa, Chelsey Lees, Pritesh Patel, Eryk Pryzsucha. International Journal of Sports Science 2015; 5(4): 120-127 doi:10.5923/j.sports.20150504.02
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Researchers develop technology for treating multiple sclerosis with gaming cameras TECH2
Patients with MS exhibit better balance, neural changes after Wii-based training Lower Extremity Review
iPhone X: Apple bets the future of smartphones on Kinect’s failed tech Eurogamer
