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Jose del R. Millan

The University of Texas at Austin

CNBI Lab

Clinical Neuroprosthetics and Brain Interaction LabCNBI Lab

 

 
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CNBI-Colombia

Assessment of the requirements for assistive technologies suitable for the population with motor disabilities in the city of Cali, Colombia

Goal

This project will assess the suitability of neuroprosthetic devices for the specific needs of the population of disabled people in Cali, Colombia. It will identify the requirements of assistive devices oriented to the restoration of motor and manipulation capabilities, following a multidisciplinary approach and involving the target population (i.e. disabled persons).

Partners and contact

  • Ricardo Chavarriaga, CNBI, Ecole Polytechnique Fédérale de Lausanne, EPFL, Switzerland
  • Jaime Aguilar, Pontificia Universidad Javeriana, seccional Cali, Colombia (PUJ)
  • Centro de Rehabilitación, Surgir. Cali, Colombia
  • Atem Healthcare, Cali, Colombia

General Description

Colombian society has been afflicted for a long period of time by an internal conflict and high levels of violence. As a result, a significant amount of the population suffers from some form of physical disability which combined with high levels of poverty and difficult access to assistive technologies places them in a situation of discrimination. In this project, our objective is to characterise the needs of the population with motor disabilities in Cali, Colombia and to evaluate technological solutions for restoring mobility and handling capabilities.

Although there are already some studies that aimed to identify these needs, they don’t address specific needs of the population of developing countries (e.g. levels of poverty, social inclusion barriers, among others). To do this, we will build upon the expertise of the EPFL partner (CNBI) on the field of neuroprosthetics and the experience of the Colombian partner (PUJ) on the use of a multidisciplinary approach to identify the requirements of assistive solutions taking into account not only functional features but other characteristics such as perceptual, adaptability and usability factors associated with the products.

This approach, involving engineers, psychologist, therapists, and potential users (i.e. disabled people), has been successfully applied in a previous project led by PUJ aimed at the design of a device for assisted mobility. This project—named ANDAR and funded by the main financial research support in Colombia, Colciencias- involved two Colombian partners (Pontificia Universidad Javeriana and Universidad del Valle,Cali) and one Spanish university (U. Politécnica de Valencia).

Related projects

  • TOBI project (CNBI)
  • ANDAR project (PUJ) (in spanish)

Publications

R. Chavarriaga; M. N. Hurtado; M. Bolaños; J. A. Loaiza; J. M. Mayor et al. : Multidisciplinary design of suitable assistive technologies for motor disabilities in Colombia. 2014. 2014 IEEE Global HumanItarian Technology Conference, San José, USA, October 10-13, 2014.

Detailed record – Full text

J. E. Muñoz; R. Chavarriaga; J. F. Villada; D. S. Lopez : BCI and Motion Capture Technologies for Rehabilitation based on Videogames. 2014. 2014 IEEE Global Humantarian Technology Conference, San José, USA, October 10-13, 2014.

Detailed record

J. Aguilar-Zambrano; M. Hurtado; M. Valencia; C. Sandoval : Interdisciplinary Design of an Assistive Product for Personal Mobility with the use of an Expanded Model of Axiomatic Design. 2012. 2nd International Conference on design, Engineering and Management for Innovation, IDEMi, Florianópolis, Brasil, October 21-23, 2012.

Detailed record – Full text

M. Hurtado Floyd; J. Aguilar-Zambrano; M. Valencia; C. Sandoval Jimenez; A. L. Diaz : Social Inclusion: A Multidisciplinary Design Approach. 2012. 2nd International Conference on design, Engineering and Management for Innovation, IDEMi, Florianópolis, Brasil, October 21-23, 2012.

Detailed record – Full text

Latest News

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Latest Journal Publications

Beraldo, G., Tonin, L., Cesta, A., Menegatti, E., Millán, J.d.R. (2023). Validation of Shared Intelligence Approach for Teleoperating Telepresence Robots Through Inaccurate Interfaces. In: Petrovic, I., Menegatti, E., Marković, I. (eds) Intelligent Autonomous Systems 17. IAS 2022. Lecture Notes in Networks and Systems, vol 577. Springer, Cham.

Luca Tonin, Serafeim Perdikis, Taylan Deniz Kuzu, Jorge Pardo, Bastien Orset, Kyuhwa Lee, Mirko Aach, Thomas Armin Schildhauer, Ramón Martínez-Olivera, José del R. Millán. Learning to control a BMI-driven wheelchair for people with severe tetraplegia. iScience. 2022. 105418.

Ju-Chun Hsieh, Hussein Alawieh, Yang Li, Fumiaki Iwane, Linran Zhao, […]. A highly stable electrode with low electrode-skin impedance for wearable brain-computer interface. Biosensors and Bioelectronics. 2022, 114756.

JH. Jeong, JH. Cho, YE. Lee, SH. Lee, GH. Shin, YS. Kweon,  J.d.R. Millán, KR. Müller, SW Lee. 2020 International brain-computer interface competition: A review. Front Hum Neurosci. 2022 Jul, 22(16):898300.

F. Dell’Agnola, P.-K. Jao, R. Chavarriaga, J.d.R. Millán, D. Floreano, D. Atienza. (2022). Machine-Learning Based Monitoring of Cognitive Workload in Rescue Missions with Drones. in IEEE J. of Biomedical and Health Informatics,2022 Sep, 26(9):4751-4762.


For a complete list of publications go to our Publications page!

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