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We show with simulations that this simple device mimics humanlike postural behavior in a wide range of situations and diseases.
Electronic devices such as tablets often imply new postural behavior in our everyday life and little is known about the influence of these postures on cognitive processes.
A closed-loop biofeedback system was developed with the aim of changing the postural behavior of subjects.
Additionally, the use of small prisms are known to induce postural behavior change in healthy subjects [27], [34].
The experiment by Moreau-Gaudry et al. [11] concluded that young healthy subjects could correctly interpret an electrical lingual biofeedback to adapt their postural behavior.
Four dependent variables were computed to describe the subject's postural behavior: (1) body weight distribution, (2) amplitude, (3) velocity and (4) regularity of centre of foot pressure (CoP) trajectories under the amputated (A) leg and the non-amputated (NA) leg.
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First, the CP mean velocity supposedly reflects the amount of regulatory balancing activity that is needed to maintain an upright posture [ 26] and can be used to discriminate the postural behaviors between symptomatic population [ 36].
One could presume that these postural behaviors were natural and not due to the feedback device.
Interestingly, thanks to the computation of CoP entropy, specific postural behaviors induced either by age [4], health status [5] [8], expertise [9], [10], postural task [11], sensory environment [4], [8], [10], [12] and cognitive context [7], [8], [10], [12], [13] have successfully been highlighted.
The clinical-neurological examination included the monitoring of behavior, posture, postural reactions and gait.
Seven years after the first implantation, we can document in a solid and detailed fashion the course of clinical outcomes and the radiological postural and kinematic behavior of this prosthesis.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com