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Overview

Bernhard Graimann is a researcher affiliated with Graz University of Technology in Austria. The work contributed by Graimann spans multiple fields of study, primarily focusing on Engineering and Neuroscience.

The scientist's research is situated at the intersection of several subfields, notably Biomedical Engineering and Cellular and Molecular Neuroscience. These specialties underline an emphasis on the integration of engineering principles with biological systems, aiming at enhancements in neural and muscular function understanding.

Main topics in Graimann's research portfolio include:

  • Muscle activation and electromyography studies
  • Neuroscience and Neural Engineering
  • Advanced Sensor and Energy Harvesting Materials

These topics suggest a focus on both the functional mechanisms of muscles through electrical signal analysis and the development of advanced materials and sensor technologies relevant to neural engineering applications.

Among recent publications, one paper stands out: "Toward higher-performance bionic limbs for wider clinical use," published in 2021 in Nature Biomedical Engineering. This paper has received notable academic attention, as reflected in its citation count.

Frequent co-authors collaborating with Bernhard Graimann include:

  • Dario Farina
  • Ivan Vujaklija
  • Rickard Brånemark
  • Anthony M. J. Bull
  • Hans Dietl

This network reflects interdisciplinary collaboration, potentially spanning clinical, engineering, and neuroscientific expertise.

Publication venues associated with Graimann predominantly feature Nature Biomedical Engineering. This venue aligns with the scientist's research focus on biomedical engineering advancements.

Best Publications

  • The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and Challenges

    Dario Farina;Ning Jiang;Hubertus Rehbaum;Ales Holobar

  • Spatiotemporal patterns of beta desynchronization and gamma synchronization in corticographic data during self-paced movement

    G. Pfurtscheller;B. Graimann;J.E. Huggins;S.P. Levine

  • An asynchronously controlled EEG-based virtual keyboard: improvement of the spelling rate

    R. Scherer;G.R. Muller;C. Neuper;B. Graimann

  • Graz-BCI: state of the art and clinical applications

    G. Pfurtscheller;C. Neuper;G.R. Muller;B. Obermaier

  • Brain-Computer Interfaces: Revolutionizing Human-Computer Interaction

    Bernhard Graimann;Brendan Z. Allison;Gert Pfurtscheller

  • Brain-Computer Interfacing for Intelligent Systems

    A. Nijholt;D. Tan

  • Continuous EEG classification during motor imagery-simulation of an asynchronous BCI

    G. Townsend;B. Graimann;G. Pfurtscheller

  • Seperability of four-class motor imagery data using independent components analysis

    Muhammad Naeem;Clemens Brunner;Robert Leeb;Bernhard Graimann

  • Brain-Computer Interfaces: A Gentle Introduction

    Bernhard Graimann;Brendan Allison;Gert Pfurtscheller

  • Intuitive, Online, Simultaneous, and Proportional Myoelectric Control Over Two Degrees-of-Freedom in Upper Limb Amputees

    Ning Jiang;Hubertus Rehbaum;Ivan Vujaklija;Bernhard Graimann

  • Is Accurate Mapping of EMG Signals on Kinematics Needed for Precise Online Myoelectric Control

    Ning Jiang;Ivan Vujaklija;Hubertus Rehbaum;Bernhard Graimann

  • Brain-Computer Interfaces

    Bernhard Graimann;Gert Pfurtscheller;Brendan Allison

  • Toward higher-performance bionic limbs for wider clinical use

    Dario Farina;Ivan Vujaklija;Rickard Brånemark;Rickard Brånemark;Anthony M J Bull

  • Spatial filtering and selection of optimized components in four class motor imagery EEG data using independent components analysis

    Clemens Brunner;Muhammad Naeem;Robert Leeb;Bernhard Graimann

  • Event-related beta EEG-changes during passive and attempted foot movements in paraplegic patients

    Gernot R. Müller-Putz;Doris Zimmermann;Bernhard Graimann;Kurt Nestinger

  • Self-Correcting Pattern Recognition System of Surface EMG Signals for Upper Limb Prosthesis Control

    Sebastian Amsuss;Peter M. Goebel;Ning Jiang;Bernhard Graimann

  • 15 years of BCI research at graz university of technology: current projects

    G. Pfurtscheller;G.R. Muller-Putz;A. Schlogl;B. Graimann

  • Online Control of a Brain-Computer Interface Using Phase Synchronization

    C. Brunner;R. Scherer;B. Graimann;G. Supp

  • Toward a direct brain interface based on human subdural recordings and wavelet-packet analysis

    B. Graimann;J.E. Huggins;S.P. Levine;G. Pfurtscheller

  • Quantification and visualization of event-related changes in oscillatory brain activity in the time–frequency domain

    Bernhard Graimann;Gert Pfurtscheller

Frequent Co-Authors

Gert Pfurtscheller
Gert Pfurtscheller Graz University of Technology
Dario Farina
Dario Farina Imperial College London
Strahinja Dosen
Strahinja Dosen Aalborg University
Ning Jiang
Ning Jiang University of Waterloo
Gernot R. Müller-Putz
Gernot R. Müller-Putz Graz University of Technology
Christa Neuper
Christa Neuper University of Graz
Dejan B. Popovic
Dejan B. Popovic Serbian Academy of Sciences and Arts
Dustin J. Tyler
Dustin J. Tyler Case Western Reserve University
Todd A. Kuiken
Todd A. Kuiken Northwestern University
Silvestro Micera
Silvestro Micera Sant'Anna School of Advanced Studies

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