Daniel Graupe

Summary

Affiliation: University of Illinois at Chicago
Country: USA

Publications

  1. ncbi request reprint A modified LAMSTAR neural network and its applications
    Nathan C Schneider
    Department of Electrical and Computer Engineering, University of Illinois, Chicago, IL 60607, USA
    Int J Neural Syst 18:331-7. 2008
  2. ncbi request reprint An overview of the state of the art of noninvasive FES for independent ambulation by thoracic level paraplegics
    Daniel Graupe
    Department of Electrical and Computer Engineering, University of Illinois, Chicago 60607, USA
    Neurol Res 24:431-42. 2002
  3. doi request reprint Adaptively controlling deep brain stimulation in essential tremor patient via surface electromyography
    Daniel Graupe
    University of Illinois at Chicago, Chicago, IL 60607 7053, USA
    Neurol Res 32:899-904. 2010
  4. ncbi request reprint Blind adaptive filtering for non-invasive extraction of the fetal electrocardiogram and its non-stationarities
    D Graupe
    Department of Electrical and Computer Engineering Bioengineering, University of Illinois at Chicago, USA
    Proc Inst Mech Eng H 222:1221-34. 2008
  5. doi request reprint Pathological tremor prediction using surface electromyogram and acceleration: potential use in 'ON-OFF' demand driven deep brain stimulator design
    Ishita Basu
    Department of Electrical and Computer Engineering, University of Illinois at Chicago UIC, IL, USA
    J Neural Eng 10:036019. 2013
  6. doi request reprint A neural network-based design of an on-off adaptive control for Deep Brain Stimulation in movement disorders
    Pitamber Shukla
    Department of Electrical and Computer Engineering, University of Illinois at Chicago, IL, USA
    Conf Proc IEEE Eng Med Biol Soc 2012:4140-3. 2012
  7. doi request reprint Adaptive control of deep brain stimulator for essential tremor: entropy-based tremor prediction using surface-EMG
    Ishita Basu
    Department of Electrical and Computer Engineering, University of Illinois at Chicago, USA
    Conf Proc IEEE Eng Med Biol Soc 2011:7711-4. 2011
  8. doi request reprint Stochastic modeling of the neuronal activity in the subthalamic nucleus and model parameter identification from Parkinson patient data
    Ishita Basu
    Department of Electrical and Computer Engineering, University of Illinois at Chicago, 851 S Morgan Street, M C 154, Chicago, IL, USA
    Biol Cybern 103:273-83. 2010
  9. doi request reprint Walking performance, medical outcomes and patient training in FES of innervated muscles for ambulation by thoracic-level complete paraplegics
    Daniel Graupe
    University of Illinois, 851 South Morgan St, Chicago, IL 60607 7053, USA
    Neurol Res 30:123-30. 2008
  10. ncbi request reprint A neural-network-based detection of epilepsy
    Vivek Prakash Nigam
    Department of Electrical and Computer Engineering, University of Illinois, Chicago, IL 60607 7053, USA
    Neurol Res 26:55-60. 2004

Detail Information

Publications11

  1. ncbi request reprint A modified LAMSTAR neural network and its applications
    Nathan C Schneider
    Department of Electrical and Computer Engineering, University of Illinois, Chicago, IL 60607, USA
    Int J Neural Syst 18:331-7. 2008
    ..This measure allows comparison across different network inputs so that the user may choose the "best" solution. The authors have applied the modified LAMSTAR network to a financial forecasting problem...
  2. ncbi request reprint An overview of the state of the art of noninvasive FES for independent ambulation by thoracic level paraplegics
    Daniel Graupe
    Department of Electrical and Computer Engineering, University of Illinois, Chicago 60607, USA
    Neurol Res 24:431-42. 2002
    ..Furthermore, the paper discusses the various aspects of transcutaneous noninvasive FES as compared with implanted FES systems for ambulation by thoracic level SCI patients...
  3. doi request reprint Adaptively controlling deep brain stimulation in essential tremor patient via surface electromyography
    Daniel Graupe
    University of Illinois at Chicago, Chicago, IL 60607 7053, USA
    Neurol Res 32:899-904. 2010
    ....
  4. ncbi request reprint Blind adaptive filtering for non-invasive extraction of the fetal electrocardiogram and its non-stationarities
    D Graupe
    Department of Electrical and Computer Engineering Bioengineering, University of Illinois at Chicago, USA
    Proc Inst Mech Eng H 222:1221-34. 2008
    ..In each case beat-to-beat unaveraged fECGs were isolated. The combined filter allowed identification of diagnostically important PR, QT, and RR durations. Comparison with synthetic data is also included...
  5. doi request reprint Pathological tremor prediction using surface electromyogram and acceleration: potential use in 'ON-OFF' demand driven deep brain stimulator design
    Ishita Basu
    Department of Electrical and Computer Engineering, University of Illinois at Chicago UIC, IL, USA
    J Neural Eng 10:036019. 2013
    ....
  6. doi request reprint A neural network-based design of an on-off adaptive control for Deep Brain Stimulation in movement disorders
    Pitamber Shukla
    Department of Electrical and Computer Engineering, University of Illinois at Chicago, IL, USA
    Conf Proc IEEE Eng Med Biol Soc 2012:4140-3. 2012
    ..3%. This work therefore shows that closed-loop DBS control is feasible in the near future and that it can be achieved without modifications of the electrodes implanted in the brain, i.e., is backward compatible with approved DBS systems...
  7. doi request reprint Adaptive control of deep brain stimulator for essential tremor: entropy-based tremor prediction using surface-EMG
    Ishita Basu
    Department of Electrical and Computer Engineering, University of Illinois at Chicago, USA
    Conf Proc IEEE Eng Med Biol Soc 2011:7711-4. 2011
    ....
  8. doi request reprint Stochastic modeling of the neuronal activity in the subthalamic nucleus and model parameter identification from Parkinson patient data
    Ishita Basu
    Department of Electrical and Computer Engineering, University of Illinois at Chicago, 851 S Morgan Street, M C 154, Chicago, IL, USA
    Biol Cybern 103:273-83. 2010
    ....
  9. doi request reprint Walking performance, medical outcomes and patient training in FES of innervated muscles for ambulation by thoracic-level complete paraplegics
    Daniel Graupe
    University of Illinois, 851 South Morgan St, Chicago, IL 60607 7053, USA
    Neurol Res 30:123-30. 2008
    ....
  10. ncbi request reprint A neural-network-based detection of epilepsy
    Vivek Prakash Nigam
    Department of Electrical and Computer Engineering, University of Illinois, Chicago, IL 60607 7053, USA
    Neurol Res 26:55-60. 2004
    ..6% miss rate, 97.2% overall accuracy when considering both false-alarms and 'misses') are discussed and are shown to compare favorably with earlier approaches presented in recent literature...
  11. doi request reprint Automated prediction of apnea and hypopnea, using a LAMSTAR artificial neural network
    Jonathan A Waxman
    Center for Narcolepsy, Sleep, and Health Research, College of Nursing, University of Illinois at Chicago, 845 S Damen Avenue, M C 802, Chicago, IL 60612, USA
    Am J Respir Crit Care Med 181:727-33. 2010
    ..Accurate prediction of these events could improve clinical management of this prevalent disease...