TUTORIAL

Multi-modal solutions for data-rich brain-machine interfaces (BMIs)

Martin Martijn Schreuder

Martijn Schreuder

CEO (ANT Neuro GmbH) & COO (Neuromotion)

Andrew Andrew Hanson

Andrew Hanson

Scientific Account Manager (ANT Neuro UK)

ABSTRACT

Since its establishment in 1997, ANT Neuro has been devoted to providing cutting-edge solutions and high quality, state-of-the-art products for a global audience of expert customers. Through constant innovation and collaboration, we are committed to advancing neurotechnology that enables and inspires scientists and clinicians to make new discoveries, with the goal of improving human life.

In this tutorial, we will introduce the use of multi-modal neurophysiological solutions and their benefits within BMIs. In covering the technology within our portfolio that makes this possible, as well as the science and motivation behind the many thriving partnerships we have developed with market- and thought leaders, we will invite you to consider how high-density, multi-modal neurophysiological approaches could be used to advance your future BMI breakthroughs.

SPEAKERS BIOGRAPHY

Dr. Martijn Schreuder, CEO (ANT Neuro GmbH) & COO (Neuromotion)

Martijn has extensive experience in real-time brain data analysis using machine learning. He holds a PhD in Computer Science/Neuroscience from Technische Universität Berlin and has a strong background in developing innovative medical and research products. Martijn is passionate about leveraging technology to investigate cognitive and physical performance, as well as to better address the treatment of brain and mental disorders. He currently holds several executive positions with entities in the neuromotion group of companies. These roles have enabled him to make a significant impact on the global medical research markets where he continues to drive innovative product development and growth within the sector.

Dr. Andrew Hanson, Scientific Account Manager (ANT Neuro UK)

Andrew has over a decade of experience in academic EEG research and scientific consultancy. He holds a PhD in Computational Neuroscience from Newcastle University, where he independently developed semi-automated analysis pipelines for EEG data quality assessment. Andrew has a strong background in EEG experimental design across a wide range of fields (visual, auditory, cognitive, and clinical). Passionate about multi-modal research, he is strong advocate for EEG-VR research and is passionate about multi-modal EEG research approaches. Currently, Andrew is a Scientific Account Manager at ANT Neuro, where he combines his expertise in EEG technology with a consultancy mindset to support and expand EEG and neuro- navigation research portfolios across the UK.

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