The Movement Disorder Society

MDS 18th International Congress of Parkinson's Disease and Movement Disorders, Volume 29,
June 2014 Abstract Supplement

Movement Disorders 2014
Stockholm, Sweden June 8-12, 2014.


3D sensors, the next standard for the assessment and rehabilitation of Parkinson's disease

Alvarez,  M., Bosch,  J., Martinez,  A., Mondejar,  A., Valdez,  P., Macias,  F., Concepcion,  A.

Havana, Cuba

Objective:

Create objective, automatic and relatively inexpensive tools for the evaluation of Parkinson's disease using the new 3D sensors like the Microsoft Kinect.

Background:

Currently, motor control is evaluated by means of scales or specific instruments. Each method has advantages and disadvantages. The scales are widespread because they are relatively inexpensive and accessible. However, they have the problem of being subjective and requiring a prolonged training time. Assessment tools, are more precise and objective but they have the problem of being heterogeneous, generally expensive and focused on very specific objectives. We consider that the Kinect sensor combines the advantages of both methods because it is relatively cheap, accessible and at the same time objective, accurate and quantitative.

Methods:

We use the Microsoft Kinect sensor for video games and create an assessment protocol that includes 7 maneuvers. In each of these maneuvers we evaluate capabilities and functions that were defined as Descriptive Parameters (DP): Precision; Variability; Speed; Symmetry; Involuntary movements; Posture; Balance; Transference; Pelvic stability; Head stability. To create a statistical norms an initial sample of 30 normal subjects was collected. In a second step we applied the valuation protocol to 10 normal subjects (mean age = 59.5 years, female = 4) and 10 patients with Parkinson's disease (PD) (mean age = 58 years, female = 3; mean evolution time: 9.7 years; Hoehn and Yahr: 7 patients in state 2 and 3 patients in state 3). Values above 2 standard deviations (SD) are considered outside normal limits, for p = 0.05.

Results:

Patients with PD had a worse performance than the normal subjects In all Descriptive Parameters (DP). The subjects in the Normal Sample had 0 or 1 DP above the 2SD, only one exceeded the 2 SD in 2 DP. In contrast, the majority of subjects in the Parkinson Sample had more than 2 DP exceeding the 2 SD. Particularly interesting is the sensitivity and specificity of the DP of the axis that included axial position, transference, axial variability and stability of the pelvis and the head.

Conclusions:

The Kinect system is useful for the evaluation of motor control and movement disorders. It distinguishes normal patterns of posture and movements even in early states of Parkinson's disease. This research opens new possibilities for assessment, diagnostis and treatment of movement disorders.

To cite this abstract, please use the following information:
Alvarez, M., Bosch, J., Martinez, A., Mondejar, A., Valdez, P., Macias, F., Concepcion, A.; 3D sensors, the next standard for the assessment and rehabilitation of Parkinson's disease [abstract]. Movement Disorders 2014;29 Suppl 1 :486