Matthew S Fifer

Summary

Publications

  1. pmc Toward electrocorticographic control of a dexterous upper limb prosthesis: building brain-machine interfaces
    Matthew S Fifer
    Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
    IEEE Pulse 3:38-42. 2012
  2. pmc Asynchronous decoding of grasp aperture from human ECoG during a reach-to-grasp task
    Matthew S Fifer
    Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA
    Conf Proc IEEE Eng Med Biol Soc 2011:4584-7. 2011
  3. pmc Coarse electrocorticographic decoding of ipsilateral reach in patients with brain lesions
    Guy Hotson
    Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States of America
    PLoS ONE 9:e115236. 2014
  4. doi request reprint Electrocorticographic decoding of ipsilateral reach in the setting of contralateral arm weakness from a cortical lesion
    Guy Hotson
    Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
    Conf Proc IEEE Eng Med Biol Soc 2012:4104-7. 2012
  5. pmc Electrocorticographic amplitude predicts finger positions during slow grasping motions of the hand
    Soumyadipta Acharya
    Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
    J Neural Eng 7:046002. 2010
  6. pmc Individual finger control of a modular prosthetic limb using high-density electrocorticography in a human subject
    Guy Hotson
    Department of Electrical and Computer Engineering, Johns Hopkins University, 3400 N Charles, Baltimore, MD 21218, USA
    J Neural Eng 13:026017. 2016
  7. pmc Spatial-temporal functional mapping of language at the bedside with electrocorticography
    Yujing Wang
    From the Departments of Neurology Y W, A K, M C C, D F B R, N E C, Biomedical Engineering M S F, and Neurosurgery W S A, Johns Hopkins University, Baltimore, MD Fischell Department of Bioengineering Y W, University of Maryland College Park and Department of Psychology A F, New York University, New York
    Neurology 86:1181-9. 2016

Detail Information

Publications7

  1. pmc Toward electrocorticographic control of a dexterous upper limb prosthesis: building brain-machine interfaces
    Matthew S Fifer
    Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
    IEEE Pulse 3:38-42. 2012
    ....
  2. pmc Asynchronous decoding of grasp aperture from human ECoG during a reach-to-grasp task
    Matthew S Fifer
    Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA
    Conf Proc IEEE Eng Med Biol Soc 2011:4584-7. 2011
    ..These results suggest that the population activity captured with ECoG contains information about coordinated finger movements that potentially can be exploited to control advanced upper limb neuroprosthetics...
  3. pmc Coarse electrocorticographic decoding of ipsilateral reach in patients with brain lesions
    Guy Hotson
    Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States of America
    PLoS ONE 9:e115236. 2014
    ..The performance achieved here with small numbers of electrodes and computationally simple decoding algorithms suggests that it may be possible to control a BMI using ECoG recorded from damaged sensorimotor brain systems. ..
  4. doi request reprint Electrocorticographic decoding of ipsilateral reach in the setting of contralateral arm weakness from a cortical lesion
    Guy Hotson
    Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
    Conf Proc IEEE Eng Med Biol Soc 2012:4104-7. 2012
    ..The small subset of neural features necessary to attain high decoding results show promise for a restorative BMI controlled solely by ipsilateral ECoG signals...
  5. pmc Electrocorticographic amplitude predicts finger positions during slow grasping motions of the hand
    Soumyadipta Acharya
    Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
    J Neural Eng 7:046002. 2010
    ..49; maximum r = 0.90). These results provide further evidence for the feasibility of robust and practical ECoG-based control of finger movements in upper extremity prosthetics...
  6. pmc Individual finger control of a modular prosthetic limb using high-density electrocorticography in a human subject
    Guy Hotson
    Department of Electrical and Computer Engineering, Johns Hopkins University, 3400 N Charles, Baltimore, MD 21218, USA
    J Neural Eng 13:026017. 2016
    ..We used native sensorimotor representations of fingers in a brain-machine interface (BMI) to achieve immediate online control of individual prosthetic fingers...
  7. pmc Spatial-temporal functional mapping of language at the bedside with electrocorticography
    Yujing Wang
    From the Departments of Neurology Y W, A K, M C C, D F B R, N E C, Biomedical Engineering M S F, and Neurosurgery W S A, Johns Hopkins University, Baltimore, MD Fischell Department of Bioengineering Y W, University of Maryland College Park and Department of Psychology A F, New York University, New York
    Neurology 86:1181-9. 2016
    ..To investigate the feasibility and clinical utility of using passive electrocorticography (ECoG) for online spatial-temporal functional mapping (STFM) of language cortex in patients being monitored for epilepsy surgery...