T11: Non-invasive and invasive Brain-Neural and human computer interfaces: Background methodology and novel medical applications

Saturday, 27 July 2019, 08:30 – 12:30
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G√ľnter Edlinger (short bio)

g.tec medical engineering GmbH & Guger Technologies OG, Austria

Fan Cao (short bio)

g.tec Neurotechnology Inc., Albany, NY,USA

Milena Korostenskaja (short bio)

Functional Brain Mapping and BCI Lab at the Center for Pediatric Research, Florida Hospital for Children, Florida, USA

 

Objectives:

The Brain-Neural Machine/Computer Interface (BNCI) research area is a thriving and rapidly expanding field. BNCIs have been developed during the last years for people with severe disabilities to improve their quality of life. However, BNCI applications have recently been extended to different research areas, such as rapid functional mapping on the cortical level, virtual reality and rehabilitation & therapy after stroke. The Tutorial will discuss necessary prerequisites to successfully perform both invasive and non-invasive BCI experiments, and discuss progress and overview in relevant medical domains including also functional mapping for brain surgery. Live demonstrations of novel BNCI approaches in medical context will help attendees understand the technology.

 

Content and benefits:

  • insights into recent hardware (wireless/non wireless) for BNCI research
  • insights into the software for BNCI research enabling participants to run their own experiments
  • giving participants the chance to analyze their BNCI performance
  • demonstrations of applications
  • Assessment of consciousness (mindBEAGLE), stroke rehabilitation (recoveriX)
  • discussing advantages/disadvantages of dry/wet sensors
  • discussing non-invasive and invasive BCI approaches
  • using BCI technologies in clinical environment
  • insight into innovative electrocorticography-based functional mapping (ECoG-FM)
  • backgrounds in identification of patient's brain activity for functional mapping purposes
  • using Random Forest (RL) and Deep Learning (DL) to improve ECoG-FM accuracy

 

Target Audience:

The goal of the workshop is to bring together researchers and interested attendees, to describe and demonstrate the options available in the field of Brain/Neural Machine Interfaces. We will highlight the usability and reliability of BCI control, which now allows developing and displaying more advanced applications. We think that such a workshop will be very appealing to audience members working in the area of HCI combining different modalities for interactions, including the medical field.

 

Relevant links:

 

Relevant Websites:

Bio Sketches of Presenters:

Dr. Guenter Edlinger studied control engineering at the University of Technology Graz and carried out research work at the Institute of Biomedical Engineering (Prof. Pfurtscheller) at the University of Technology Graz. He worked there as an assistant professor and teacher and received his PhD degree in 1998. The topic of his PhD work was the design of High Resolution EEG systems. He is co-founder of gtec. He has been responsible for R&D with special emphasis on the development and production of medical systems for over 20 years.

Fan Cao studied Electronic Engineering at the University of Southampton, UK and received the MSc in Communications and Signal Processing as well as Medical Robotics. Fan is field expert and specialist for BCI based applications in the medical field especially used in rehabilitation of stroke patients and in the assessment of disorders of consciousness patients.

Dr. Milena Korostenskaja has authored more than 50 peer reviewed papers and book chapters among them several articles along with chapters in different books related to Pediatrics. Her research programs focused on the human brain includes Brain- Computer Interfaces (BCIs), Functional Brain Mapping and neuropsychopharmacology using cutting-edge technologies (electroencephalography - EEG, event-related potentials - ERPs, magnetoencephalography - MEG, event-related fields (ERFs), electrocorticography - ECoG) to investigate neural mechanisms underlying cognitive functioning in healthy population and patients with neurological, developmental and mental deficits.