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Smart Tip for Gait Functional Diagnosis in Multiple Sclerosis Patients (DPI2017-82694-R)

  • Lead researchers: Asier Zubizarreta Picó - (01/01/2018 - 31/07/2021)
  • Funding body: Spanish Ministry of Science and Innovation

This project focuses on the development of an intelligent tip for the monitoring and diagnosis of Multiple Sclerosis (MS) patients. The data adquired by this device is intended to be used for diagnosis purposes, offering objective data that can be used to optimize and adapt the rehabilitation therapy to the particular state of each patient, which will lead to the improvement of his/her life quality. MS is one of the neurological diseases with more impact in society (40000 patients in Spain), due to: 1) the average...

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Advanced support system for endurance training based on a Virtual Lactate Sensor implemented by Artificial Intelligence techniques (IG-2015/0000062)

  • Lead researchers: Eva Portillo Pérez - (01/01/2015 - 31/12/2017)
  • Funding body: Basque Country Government (GAITEK), Grupo Campus

During the last years, it is clear the growing importance of endurance sports, especially middle- and long-distance races, included or not within the also very popular endurance triathlon. Currently, these athletes support the workouts on a smart watch or heart rate monitor as well as software applications for analysis and statistics. These software applications make possible to analyze a posteriori data itineraries, to make comparisons, to obtain statistical values, ... facilitating the realization of comprehensive and...

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Control of Universal Haptic Pantograph (UHP) rehabilitation robot

  • Lead researchers: Asier Zubizarreta Picó - (01/09/2013 - 31/12/2014)
  • Funding body: Euskampus Fundazioa, Neurosciences Area

In the last few decades, robotic devices have been proposed as an alternative to traditional rehabilitation procedures. Longer treatments, repeatability, adaptability, cost-effectiveness and the possibility to analyze the patient progress, are some of their benefits. One of the most important issues in rehabilitation robotics is the design of control approaches for proper and safe user interaction. Thus, the aim of the project is to design and implement a suitable advanced control structure for rehabilitation robots.

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