Aydin Farajidavar

Summary

Affiliation: University of Texas at Arlington
Country: USA

Publications

  1. doi request reprint A wireless system for monitoring transcranial motor evoked potentials
    Aydin Farajidavar
    Department of Bioengineering, University of Texas at Arlington, 701 S Nedderman Dr, Arlington, TX 76019, USA
    Ann Biomed Eng 39:517-23. 2011
  2. doi request reprint Recognition and inhibition of dorsal horn nociceptive signals within a closed-loop system
    Aydin Farajidavar
    Department of Bioengineering, University of Texas at Arlington, TX 76019, USA
    Conf Proc IEEE Eng Med Biol Soc 2010:1535-8. 2010
  3. doi request reprint A closed loop feedback system for automatic detection and inhibition of mechano-nociceptive neural activity
    Aydin Farajidavar
    Department of Bioengineering, University of Texas at Arlington, Arlington, TX 76019, USA
    IEEE Trans Neural Syst Rehabil Eng 20:478-87. 2012
  4. doi request reprint Detection of thermal pain in rodents through wireless electrocorticography
    Aydin Farajidavar
    Department of Bioengineering, University of Texas at Arlington, Arlington, TX 76019, USA
    Conf Proc IEEE Eng Med Biol Soc 2012:2535-8. 2012
  5. pmc A miniature bidirectional telemetry system for in vivo gastric slow wave recordings
    Aydin Farajidavar
    Department of Bioengineering, University of Texas at Arlington, Arlington, TX, USA
    Physiol Meas 33:N29-37. 2012
  6. doi request reprint Incorporating synaptic time-dependent plasticity and dynamic synapse into a computational model of wind-up
    Aydin Farajidavar
    Department of Biomedical Engineering, University of Texas at Arlington, TX 76019, USA
    Neural Netw 21:241-9. 2008

Detail Information

Publications6

  1. doi request reprint A wireless system for monitoring transcranial motor evoked potentials
    Aydin Farajidavar
    Department of Bioengineering, University of Texas at Arlington, 701 S Nedderman Dr, Arlington, TX 76019, USA
    Ann Biomed Eng 39:517-23. 2011
    ..This wireless system will reduce the preoperative time required for IONM setup, add convenience for surgical staff, and reduce wire-related risks for patients during the operation...
  2. doi request reprint Recognition and inhibition of dorsal horn nociceptive signals within a closed-loop system
    Aydin Farajidavar
    Department of Bioengineering, University of Texas at Arlington, TX 76019, USA
    Conf Proc IEEE Eng Med Biol Soc 2010:1535-8. 2010
    ..The program was integrated with a wireless neurostimulator to form a feedback loop to recognize and inhibit nociceptive signals...
  3. doi request reprint A closed loop feedback system for automatic detection and inhibition of mechano-nociceptive neural activity
    Aydin Farajidavar
    Department of Bioengineering, University of Texas at Arlington, Arlington, TX 76019, USA
    IEEE Trans Neural Syst Rehabil Eng 20:478-87. 2012
    ....
  4. doi request reprint Detection of thermal pain in rodents through wireless electrocorticography
    Aydin Farajidavar
    Department of Bioengineering, University of Texas at Arlington, Arlington, TX 76019, USA
    Conf Proc IEEE Eng Med Biol Soc 2012:2535-8. 2012
    ..These preliminary results are promising; however, more animal models will need to be tested to provide statistically significant results with high confidence...
  5. pmc A miniature bidirectional telemetry system for in vivo gastric slow wave recordings
    Aydin Farajidavar
    Department of Bioengineering, University of Texas at Arlington, Arlington, TX, USA
    Physiol Meas 33:N29-37. 2012
    ..This telemetric system for slow wave acquisition is reliable,power efficient, readily portable and potentially implantable. The device will enable chronic monitoring and evaluation of slow wave patterns in animals and patients.0967-3334/..
  6. doi request reprint Incorporating synaptic time-dependent plasticity and dynamic synapse into a computational model of wind-up
    Aydin Farajidavar
    Department of Biomedical Engineering, University of Texas at Arlington, TX 76019, USA
    Neural Netw 21:241-9. 2008
    ....