Max Ortiz-Catalán

Max Ortiz-Catalán

Max Ortiz Catalán (M’14) was born in Toluca, Mexico in 1982. He received the Electronic Engineering degree in 2005 from the ITESM Campus Toluca, Mexico, the M.Sc. degree in complex adaptive systems in 2009, and the Ph.D. degree in biomedical engineering in 2014 from Chalmers University of Technology (CTH), Gothenburg, Sweden.

He is currently an Associate Professor at Chalmers University of Technology, where he founded the Biomechatronics and Neurorehabilitation Laboratory (@ChalmersBNL). He also serves as Research Director for Integrum AB, Sweden. His research interests include bioelectric signals acquisition electronics (analog and digital); signal processing and artificial intelligence algorithms for pattern recognition and control; neuromuscular interfaces; bone-anchored prostheses and osseointegration; as well as virtual and augmented reality for neuromuscular rehabilitation and the treatment of phantom limb pain.

Dr. Ortiz Catalán received the “European Youth Award” in 2014, the “Delsys Prize” in 2016, the “SER Prize” in 2017, and the “Brian & Joyce Blatchford Award” in 2017.


  • Evaluation of Computer-Based Target Achievement Tests for Myoelectric Control
    Evaluation of Computer-Based Target Achievement Tests for Myoelectric Control

    Real-time evaluation of novel prosthetic control schemes is critical for translational research on artificial limbs. Recently, two computer-based, real-time evaluation tools, the target achievement control (TAC) test and the Fitts’ law test (FLT), have been proposed to assess real-time controllability. Whereas TAC tests provides an anthropomorphic visual representation of the limb at the cost of confusing visual feedback, FLT clarifies the current and target locations by simplified non-anthropomorphic representations. Here, we investigated these two approaches and quantified differences in common performance metrics that can result from the chosen method of visual feedback.


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