Application of Machine Learning in Postural Control Kinematics for the Diagnosis of Alzheimer’s Disease

Figure 2

Representation of the substantial overlap on the different kinematic postural features, on an orthogonal projection, between the two groups and the different tasks, (a) EO, (b) EOFW, (c) EOBW, (d) EC, (e) ECFW, and (f) ECBW, with increasing difficulty of postural stability.

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