Mathematical Models Used in Intelligent Assistive Technologies: Response Surface Methodology in Software Tools Optimization for Medical Rehabilitation

  • Oana GemanEmail author
  • Octavian Postolache
  • Iuliana Chiuchisan
Part of the Intelligent Systems Reference Library book series (ISRL, volume 170)


Assistive Technology (AT) refers to any commercially, modified, or customized item, equipment, or system that is used to enhance, maintain or improve the functional capabilities of people with disabilities. Assistive technologies should be viewed as a series of products and services through which people with different types of disabilities achieve their own goals by facilitating an independent life. The scope of support technologies extends to those products and services for three categories of people: people with disabilities, the elderly and people with chronic illnesses. Ambient Assistance Living (AAL) is a subcategory of environmental intelligence, which refers to the use of intelligent environmental techniques, processes and technologies to enable the elderly to live independently for as long as possible without intrusive behaviors. The Exergaming Platform presented in this chapter is a recovery application, designed for upper limb rehabilitation, that helps patients with locomotor disabilities and not only, transforming the unpleasant physical therapy into a fun game. The platform transforms the traditional games into video game-based exercises and drives patients to exercise correctly, while monitoring them. A RSM tool for Medical Rehabilitation based on an Exergaming Platform that uses a Microsoft Kinect Sensors, is presented in this chapter. The development of this application was made in cooperation between a research team from Institute de Telecommunication from Lisbon, Portugal and a research team from the University of Suceava, Romania. In order to find the score for a subject with a locomotor system leisure or neurodegenerative disorders, we used RSM Methodology and we optimized the exergame using statistical and mathematical. During the model developing, the data analysis has shown that the RSM can be a good candidate for optimization the application. The application has demonstrated that the Response Surface Methodology (RSM) is a useful instrument in the prediction of the patients variable scores.


Assistive technologies Mathematical models Response surface method Exergaming Rehabilitation 


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Oana Geman
    • 1
    Email author
  • Octavian Postolache
    • 2
  • Iuliana Chiuchisan
    • 3
  1. 1.Department of Health and Human DevelopmentStefan cel Mare University SuceavaSuceavaRomania
  2. 2.ISCTE-Instituto Universitário de Lisboa and Instituto de TelecomunicaçõesLisbonPortugal
  3. 3.Computers, Electronics and Automation DepartmentStefan cel Mare University SuceavaSuceavaRomania

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