Kinect 3D相機(jī)評估MS患者行走(英）

In a recent journal of IEEE Journal of Biomedical and Health Informatics, researchers from McGill University in Canada have described the development of a gait assessment system ba[x]sed 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 ob[x]jectively measuring how a patient’s walking abilities change between sessions.

Today gait assessment is typically done by simply observing the patient, which can lead to a lot of subjective inconsistency from visit to visit and between different clinicians. The McGill team created algorithms that assess a person’s movement obtained from Kinect data and compared how these algorithms perform against results produced by trained clinicians. According to the researchers, the investigators showed that “the Kinect camera is as an easy to use tool to assess gait in MS patients in a clinical setting.”
From the study abstract:

In this study, 10 ambulatory MS patients, and 10 age and sex-matched normal controls were studied at one session in a clinical setting with gait assessment using a Kinect camera. The Expanded Disability Status Scale (EDSS) clinical ambulation score was calculated for the MS subjects, and patients completed the Multiple Sclerosis Walking Scale (MSWS). ba[x]sed on this study, we established the potential feasibility of using a Microsoft Kinect camera in a clinical setting. Seven out of the eight gait indices obtained using the proposed method were reliable with intra-class correlation coefficients ranging from 0.61 to 0.99. All eight MS gait indices were significantly different from those of the controls (p-values less than 0.05). Finally, seven out of the eight MS gait indices were correlated with the ob[x]jective and subjective gait measures (Pearson’s correlation coefficients greater than 0.40).