Christoph Guger

Christoph Guger
g.tec medical engineering GmbH

PhD

About

377
Publications
109,734
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Introduction
Christoph Guger is running g.tec medical engineering in Austria, Spain, the US and Hong Kong and is developing brain-computer interfaces for non-invasive and invasive applications.
Additional affiliations
January 1999 - present
g.tec
Description
  • Development of hardware and software components for Brain-Computer Interfaces.
January 1997 - December 2000
Technische Universität Graz
Description
  • Development of real-time brain-computer interface.

Publications

Publications (377)
Article
Brain-Computer Interface (BCI) technology has been shown to provide new communication possibilities, conveying brain information externally. BCI-based robot control has started to play an important role, especially in medically assistive robots but not only there. For example, a BCI-controlled robotic arm can provide patients diagnosed with neurode...
Article
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Mapping the entire frequency bandwidth of brain electrophysiological signals is of paramount importance for understanding physiological and pathological states. The ability to record simultaneously DC-shifts, infraslow oscillations (<0.1 Hz), typical local field potentials (0.1–80 Hz) and higher frequencies (80–600 Hz) using the same recording site...
Article
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The Eighth International Brain-Computer Interface (BCI) Meeting was held June 7-9, 2021 in a virtual format. The conference continued the BCI Meeting series' interactive nature with 21 workshops covering the breadth of topics in BCI (also called brain-machine interface) research. Some workshops provided detailed examinations of methods, hardware, o...
Chapter
Stroke can cause severe motor and sensory impairments. Recent studies focus their attention to the Quantitative EEG (qEEG) searching for information in the brain signals that can help clinicians understating each patient’s clinical state. In this study, we recorded 8 min of resting state EEG to 34 stroke patients in order to find some correlation b...
Preprint
Full-text available
Electrocorticogram (ECoG) well characterizes hand movement intentions and gestures. In the present work we aim to investigate the possibility to enhance hand pose classification, in a Rock-Paper-Scissor - and Rest - task, by introducing topological descriptors of time series data. We hypothesized that an innovative approach based on topological dat...
Article
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Many people who have had a stroke have trouble moving, even after therapy with the best experts and methods. New ways to make stroke therapy more effective could help people recover more effectively. Some research groups have developed brain-computer interface (BCI) systems that can measure when a stroke patient imagines hand movement by recording...
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Brain–computer interface (BCI) technology has the potential to positively contribute to the educational learning environment, which faces many challenges and shortcomings. Cognitive and affective BCIs can offer a deep understanding of brain mechanisms, which may improve learning strategies and increase brain-based skills. They can offer a better em...
Preprint
Mapping the entire frequency bandwidth of neuronal oscillations in the brain is of paramount importance for understanding physiological and pathological states. The ability to record simultaneously infraslow activity (<0.1 Hz) and higher frequencies (0.1-600 Hz) using the same recording electrode would particularly benefit epilepsy research. Howeve...
Article
Disorders of consciousness include coma, unresponsive wakefulness syndrome (also known as vegetative state), and minimally conscious state. Neurobehavioral scales such as coma recovery scale-revised are the gold standard for disorder of consciousness assessment. Brain-computer interfaces have been emerging as an alternative tool for these patients....
Chapter
We began this book with an introductory chapter so readers could understand more about BCIs and the annual procedures we follow to develop the awards and these books. The subsequent chapters of this book each presented a BCI project that was nominated for a BCI Research Award, with seven project summaries and four interviews. In the concluding chap...
Chapter
Brain-computer interfaces (BCIs) enable users to send messages or commands directly through brain activity, without any movement. Most BCI systems aim to help persons with serious movement disabilities, but BCIs for consumer applications are increasingly prevalent. Each year since 2010, teams submitted their BCI projects to the BCI Research Awards,...
Article
Stroke is the second foremost cause of death worldwide and is one of the most common causes of disability. Several approaches have been proposed to manage stroke patient rehabilitation such as robotic devices and virtual reality systems, and researchers have found that the brain-computer interfaces (BCI) approaches can provide better results. There...
Chapter
The vibro-tactile P300 based Brain-Computer Interface is an interesting tool for severe impaired patients which cannot communicate using the muscular and visual vias. In this study we presented an improved tactile BCI for binary communication that reduces the wrong answers by adding a threshold to the decision value to achieve a valid answer, other...
Chapter
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Introduction: Brain-computer interfaces (BCIs) provide a broad range of applications for human-computer interactions. Exploring cognitive control and underlying neurophysiological mechanisms brings essential contributions to this research field. In this paper, neurophysiological findings connected to cognitive control processes using the Stroop exp...
Article
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Brain–computer interfaces (BCIs) establish communication between a human brain and a computer or external devices by translating the electroencephalography (EEG) signal into computer commands. After stimulating a sensory organ, a positive deflection of the EEG signal between 250 and 700 ms can be measured. This signal component of the event-related...
Chapter
Brain-computer interface (BCI) systems can provide communication and control without any physical movement. The BCI Research Awards are annual events to select the best BCI projects that year. Groups from around the world submit projects that are scored by a jury of international experts that selects twelve nominees and three winners. We also produ...
Chapter
The introduction chapter of this book described the BCI Research Awards, selection criteria, nominees, and jury. Developing a good submission for a BCI Research Award is a formidable goal, and being nominated is even more demanding. This book has presented thirteen chapters by the authors of projects nominated for a BCI Research Award in 2019. Some...
Article
Objective. The development of experimental methodology utilizing graphene micro-transistor arrays to facilitate and advance translational research into cortical spreading depression (CSD) in the awake brain. Approach. CSDs were reliably induced in awake nontransgenic mice using optogenetic methods. High-fidelity DC-coupled electrophysiological mapp...
Article
Objective: Development of experimental methodology utilising graphene micro-transistor arrays to facilitate and advance translational research into cortical spreading depression (CSD) in awake brain. Approach: CSDs were reliably induced in awake non-transgenic mice using optogenetic methods. High-fidelity DC-coupled electrophysiological mapping...
Article
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Face recognition is impaired in patients with prosopagnosia, which may occur as a side effect of neurosurgical procedures. Face selective regions on the ventral temporal cortex have been localized with electrical cortical stimulation (ECS), electrocorticography (ECoG), and functional magnetic resonance imagining (fMRI). This is the first group stud...
Article
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Introduction: Numerous recent publications have explored Brain Computer Interfaces (BCI) systems as rehabilitation tools to help subacute and chronic stroke patients recover upper extremity movement. Recent work has shown that BCI therapy can lead to better outcomes than conventional therapy. BCI combined with other techniques such as Functional E...
Chapter
The preceding nine chapters in this book presented an introduction and summaries of eight projects that were nominated for a BCI Research Award in 2018. In this chapter, we summarize the 2018 Awards Ceremony where we announced the three winning projects. We interviewed authors of these winning projects – Drs. Ajiboye, Tangermann, and Herff – and th...
Article
Full-text available
The evaluation of the level of consciousness in patients with disorders of consciousness (DOC) is primarily based on behavioural assessments. Patients with unresponsive wakefulness syndrome (UWS) do not show any sign of awareness of their environment, while minimally conscious state (MCS) patients show reproducible but fluctuating signs of awarenes...
Article
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Objective To evaluate whether introducing gamification in BCI rehabilitation of the upper limbs of post-stroke patients has a positive impact on their experience without altering their efficacy in creating motor mental images (MI).DesignA game was designed purposely adapted to the pace and goals of an established BCI-rehabilitation protocol. Rehabi...
Chapter
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Introduction:Brain-computer interfaces have become an important tool in human computer interactions. The area of applications ranges from simple research to profound stroke therapy. In this paper, a novel approach to motor imagery is proposed. We analyzed left and right hand grasping using electroencephalography (EEG) and functional near-infrared s...
Article
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IntroductionRecent studies explored promising new quantitative methods to analyze electroencephalography (EEG) signals. This paper analyzes the correlation of two EEG parameters, Brain Symmetry Index (BSI) and Laterality Coefficient (LC), with established functional scales for the stroke assessment.Methods Thirty-two healthy subjects and thirty-six...
Presentation
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Brain-computer interfaces for user training and to extract biomarkers.
Presentation
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The presentation shows the major principles and important components for building BCIs.
Article
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Background: Stroke is a disease with a high associated disability burden. Robotic-assisted gait training offers an opportunity for the practice intensity levels associated with good functional walking outcomes in this population. Neural interfacing technology, electroencephalography (EEG), or electromyography (EMG) can offer new strategies for robo...
Presentation
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Questions and Answers of Day 5 of the Virtual Meeting
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Hardware and software components of the Unicorn Hybrid Black
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Questions and Answers of the Virtual Meeting 2020
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Gerald Hirsch explains to record fNIRS and EEG and the same time in order to run BCI experiments.
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QA of the Virtual Meeting 2020
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Presentation given on Day 2 of the Virtual Meeting by Christoph Guger
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Questions and answers of Day 2 of the Virtual Meeting 2020
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Presentation given on Day 1 of the BCI and Neurotechnology Spring School
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Questions and answers of Day 1 of the Virtual Meeting
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Christoph Guger shows the usage of the ECoG for the functional mapping in epilepsy and tumor patients and how to use the ECoG for brain-computer interface experiments.
Presentation
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Christoph Guger shows how to use BCIs and mindBEAGLE for the assessment, prediction, communication & rehabilitation of patients with disorders of consciousness
Presentation
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Christoph Guger shows how to use BCI technology and recoveriX for the rehabilitation of stroke patients.
Article
Full-text available
Persons diagnosed with disorders of consciousness (DOC) typically suffer from motor and cognitive disabilities. Recent research has shown that non-invasive brain-computer interface (BCI) technology could help assess these patients’ cognitive functions and command following abilities. 20 DOC patients participated in the study and performed 10 vibro-...
Technical Report
Full-text available
OBJECTIVES This document aims at providing an overview of the existing and developing standards in the field of neurotechnologies for brain‐machine interfacing. It is mainly focused on systems that provide a closed‐loop interaction with artificial devices based on information extracted from measures of the activity in the nervous systems. In additi...
Article
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Normal and pathological networks related to seizure propagation have got attention to elucide complex seizure semiology and contribute to diagnosis and surgical monitoring in epilepsy treatment. Since focal and generalized epileptogenic syndromes abnormalities might involve multiple foci and large-scale networks, we applied electrophysiolpgy (cortc...
Article
The Seventh International Brain-Computer Interface (BCI) Meeting was held May 21-25th, 2018 at the Asilomar Conference Grounds, Pacific Grove, California, United States. The interactive nature of this conference was embodied by 25 workshops covering topics in BCI (also called brain-machine interface) research. Workshops covered foundational topics...
Chapter
Hackathons are becoming these days more and more popular. The present chapter introduces the concept of brain on art hackathon. This new type of hackathon, based on the interaction of art, science, and engineering, is a successful event where learning, innovativeness, art and neuro-technology meet.
Article
Full-text available
Invasive brain-computer interfaces yield remarkable performance in a multitude of applications. For classification experiments, high-gamma bandpower features and linear discriminant analysis (LDA) are commonly used due to simplicity and robustness. However, LDA is inherently static and not suited to account for transient information that is typical...
Article
Objective: Currently, neurosurgical vascular surgery frequently uses indocyanine green (ICG)-videography (VG) to evaluate the blood flow in brain vessels. Although ICG-VG delineates intravascular ICG fluorescence as a high-intensity signal in gray-scale with dark background, it is hard to identify anatomical structures, including vasculature or su...
Book
This book reviews the Seventh Annual BCI Research Award, with chapters that review the most promising new BCI research. As with prior years, we announced the first, second, and third place winners as part of a major international BCI conference. The Gala Awards ceremony for the 2017 BCI Research Award was part of the Seventh International BCI Confe...
Chapter
BCI hackathons are fun, collaborative activities during which teams develop and implement new BCI designs and projects. BCI hackathons have often involved artistic expression, and have led to new headwear designs and BCI systems that let users paint, make music, or play games via thought alone. In the past few years, the number of BCI hackathons wo...
Article
Zusammenfassung Gel-basierte Elektroden für die Encephalographie (EEG) haben einige Erschwernisse bei ihrer Applikation. Elektrodengel ist notwendig um die Impedanz zwischen den Elektroden und der Haut zu veringern. Die Haut muss für die Vorbereitung unter jeder Elektrode abgerieben werden, was auch unangenehm für den Probanden sein kann. Trockenel...
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How do different parts of the brain work together to help us see, move, understand, and do other things? For many years, we have known that different brain regions perform different tasks that are important for vision. Some brain regions are responsible for seeing faces, colors, lines, movement, or other parts of the world. But mapping different br...
Article
In this paper, authors present a novel architecture for controlling an industrial robot via Brain Computer Interface. The robot used is a Series 2000 KR 210-2. The robotic arm was fitted with DI drawing devices that clamp, hold and manipulate various artistic media like brushes, pencils, pens. User selected a high-level task, for instance a shape o...
Chapter
Full-text available
In this work, we analyze the suppression of the power in mu and beta bands used in Motor-Imagery Brain Computer Interface systems (MI BCI) when using artificial frames. We compared the suppression effect between real and artificial frames. Experimental results in a single subject example show that artificial frames capture the same effect observed...
Chapter
We present the feasibility of a complete rehabilitation system based on brain computer interface (BCI) triggered functional electrical stimulation (FES) and avatar mirroring to improve the function of the paretic limbs. The system was tested on two chronic stroke patients with 25 BCI training sessions over 13 weeks. The Upper-Extremity Fugl-Meyer A...
Book
Each year, the Annual BCI Research Award recognizes the top new projects in brain-computer interface (BCI) research. This book contains summaries of these projects from the 2017 BCI Research Award. Each chapter is written by the group that submitted the BCI project that was nominated, and introduction and discussion chapters provide supporting info...
Presentation
Full-text available
P300, motor imagery, SSVEP, cVEP, high-gamma mapping and CCEPs.