In clinical practice, the great potential of robots in extracting quantitative and meaningful data is not always exploited. The aim of the present paper is to propose a simple parameter that allows to follow the performance of subjects during upper limb robotic training with no additional effort for patients or clinicians. Armeo^®Spring has been used to perform a training on 14 children affected by cerebral palsy (CP). Each session was evaluated with the new parameter allowing us to observe variations in subjects' performance over time. A preliminary validation of the parameter was performed by means of Melbourne clinical scale. Further studies are required to compare the results with kinematics data and other clinical scales.

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Index Terms

A new quantitative performance parameter for monitoring robotics rehabilitation treatment
1. Applied computing
  1. Operations research
    1. Industry and manufacturing
      1. Command and control

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Published In

PervasiveHealth '14: Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare

May 2014

459 pages

ISBN:9781631900112

General Chair:
Andreas Hein
OFFIS-Institute for IT, Oldenburg, Germany
,
Program Chairs:
Susanne Boll
OFFIS-Institute for IT, Oldenburg, Germany
,
Friedrich Köhler
Charité, Berlin, Germany

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)

Brussels, Belgium

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Published: 20 May 2014

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PervasiveHealth '14

PervasiveHealth '14: 8th International Conference on Pervasive Computing Technologies for Healthcare

May 20 - 23, 2014

Oldenburg, Germany

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Overall Acceptance Rate 55 of 116 submissions, 47%

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Humanoid social robots in the rehabilitation of children with cerebral palsy

Immersive virtual reality platform for cerebral palsy rehabilitation

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