Author Graimann, Bernhard

• 2013 | Journal Article | 
  ​ ​Effect of arm position on the prediction of kinematics from EMG in amputees​
  Jiang, N.; Muceli, S.; Graimann, B. & Farina, D.​ (2013) 
  Medical & Biological Engineering & Computing, 51(1-2) pp. 143​-151​.​ DOI: https://doi.org/10.1007/s11517-012-0979-4 
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• 2014 | Journal Article
  ​ ​The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and Challenges​
  Farina, D.; Jiang, N.; Rehbaum, H.; Holobar, A.; Graimann, B.; Dietl, H. & Aszmann, O. C.​ (2014) 
  IEEE Transactions on Neural Systems and Rehabilitation Engineering, 22(4) pp. 797​-809​.​ DOI: https://doi.org/10.1109/TNSRE.2014.2305111 
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• 2014 | Journal Article
  ​ ​Is Accurate Mapping of EMG Signals on Kinematics Needed for Precise Online Myoelectric Control?​
  Jiang, N.; Vujaklija, I.; Rehbaum, H.; Graimann, B. & Farina, D.​ (2014) 
  IEEE Transactions on Neural Systems and Rehabilitation Engineering, 22(3) pp. 549​-558​.​ DOI: https://doi.org/10.1109/TNSRE.2013.2287383 
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• 2014 | Journal Article
  ​ ​Self-Correcting Pattern Recognition System of Surface EMG Signals for Upper Limb Prosthesis Control​
  Amsuess, S.; Goebel, P. M.; Jiang, N.; Graimann, B.; Paredes, L. P. & Farina, D.​ (2014) 
  IEEE Transactions on Biomedical Engineering, 61(4) pp. 1167​-1176​.​ DOI: https://doi.org/10.1109/TBME.2013.2296274 
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• 2014 | Journal Article
  ​ ​Intuitive, Online, Simultaneous, and Proportional Myoelectric Control Over Two Degrees-of-Freedom in Upper Limb Amputees​
  Jiang, N.; Rehbaum, H.; Vujaklija, I.; Graimann, B. & Farina, D.​ (2014) 
  IEEE Transactions on Neural Systems and Rehabilitation Engineering, 22(3) pp. 501​-510​.​ DOI: https://doi.org/10.1109/TNSRE.2013.2278411 
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• 2015 | Journal Article
  ​ ​Sensor fusion and computer vision for context-aware control of a multi degree-of-freedom prosthesis​
  Markovic, M.; Dosen, S.; Popovic, D.; Graimann, B. & Farina, D.​ (2015) 
  Journal of Neural Engineering, 12(6) art. 066022​.​ DOI: https://doi.org/10.1088/1741-2560/12/6/066022 
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• 2015 | Journal Article
  ​ ​A Multi-Class Proportional Myocontrol Algorithm for Upper Limb Prosthesis Control: Validation in Real-Life Scenarios on Amputees​
  Amsuess, S.; Goebel, P.; Graimann, B. & Farina, D.​ (2015) 
  IEEE Transactions on Neural Systems and Rehabilitation Engineering, 23(5) pp. 827​-836​.​ DOI: https://doi.org/10.1109/TNSRE.2014.2361478 
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• 2015 | Journal Article | 
  ​ ​The impact of the stimulation frequency on closed-loop control with electrotactile feedback​
  Paredes, L. P.; Dosen, S.; Rattay, F.; Graimann, B. & Farina, D.​ (2015) 
  Journal of NeuroEngineering and Rehabilitation, 12 art. 35​.​ DOI: https://doi.org/10.1186/s12984-015-0022-8 
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• 2015 | Journal Article | 
  ​ ​EMG Biofeedback for online predictive control of grasping force in a myoelectric prosthesis​
  Dosen, S.; Markovic, M.; Somer, K.; Graimann, B. & Farina, D.​ (2015) 
  Journal of NeuroEngineering and Rehabilitation, 12(1) art. 55​.​ DOI: https://doi.org/10.1186/s12984-015-0047-z 
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• 2016 | Journal Article
  ​ ​Context-Dependent Upper Limb Prosthesis Control for Natural and Robust Use​
  Amsuess, S.; Vujaklija, I. ; Goebel, P.; Roche, A. D.; Graimann, B.; Aszmann, O. C. & Farina, D. ​ (2016) 
  IEEE Transactions on Neural Systems and Rehabilitation Engineering, 24(7) pp. 744​-753​.​ DOI: https://doi.org/10.1109/TNSRE.2015.2454240 
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• 2016 | Journal Article
  ​ ​Electrotactile EMG feedback improves the control of prosthesis grasping force​
  Schweisfurth, M. A.; Markovic, M.; Dosen, S.; Teich, F.; Graimann, B. & Farina, D.​ (2016) 
  Journal of Neural Engineering, 13(5) art. 056010​.​ DOI: https://doi.org/10.1088/1741-2560/13/5/056010 
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• 2017 | Journal Article | 
  ​ ​Tactile feedback is an effective instrument for the training of grasping with a prosthesis at low- and medium-force levels​
  De Nunzio, A. M.; Dosen, S.; Lemling, S.; Markovic, M.; Schweisfurth, M. A.; Ge, N. & Graimann, B. et al.​ (2017) 
  Experimental Brain Research, 235(8) pp. 2547​-2559​.​ DOI: https://doi.org/10.1007/s00221-017-4991-7 
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• 2017 | Journal Article
  ​ ​GLIMPSE: Google Glass interface for sensory feedback in myoelectric hand prostheses​
  Markovic, M.; Karnal, H.; Graimann, B.; Farina, D. & Dosen, S.​ (2017) 
  Journal of Neural Engineering, 14(3) art. 036007​.​ DOI: https://doi.org/10.1088/1741-2552/aa620a 
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