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Journal Articles
- 2019
[j6]Hongming Lyu
, Parag Gad, Hui Zhong, V. Reggie Edgerton, Aydin Babakhani:
A 430-MHz Wirelessly Powered Implantable Pulse Generator With Intensity/Rate Control and Sub-1 μA Quiescent Current Consumption. IEEE Trans. Biomed. Circuits Syst. 13(1): 180-190 (2019)- 2017
- [j5]Yi-Kai Lo, Yen-Cheng Kuan, Stanislav Culaclii, Brian Kim, Po-Min Wang, Chih-Wei Chang, Jonathan A. Massachi, Minji Zhu, Kuanfu Chen, Parag Gad, V. Reggie Edgerton, Wentai Liu:
A Fully Integrated Wireless SoC for Motor Function Recovery After Spinal Cord Injury. IEEE Trans. Biomed. Circuits Syst. 11(3): 497-509 (2017) - 2015
- [j4]Thomas A. Desautels, JaeHoon Choe, Parag Gad, Mandheerej S. Nandra, Roland R. Roy, Hui Zhong, Yu-Chong Tai, V. Reggie Edgerton, Joel W. Burdick:
An Active Learning Algorithm for Control of Epidural Electrostimulation. IEEE Trans. Biomed. Eng. 62(10): 2443-2455 (2015) - 2011
- [j3]Will L. Johnson, Devin L. Jindrich, Hui Zhong, Roland R. Roy, V. Reggie Edgerton:
Application of a Rat Hindlimb Model: A Prediction of Force Spaces Reachable Through Stimulation of Nerve Fascicles. IEEE Trans. Biomed. Eng. 58(12): 3328-3338 (2011) - 2006
- [j2]William S. Harwin, James L. Patton, V. Reggie Edgerton:
Challenges and Opportunities for Robot-Mediated Neurorehabilitation. Proc. IEEE 94(9): 1717-1726 (2006) - 2003
- [j1]Wojciech K. Timoszyk, Ray D. de Leon, N. London, R. Joynes, K. Minakata, Roland R. Roy, V. Reggie Edgerton, David J. Reinkensmeyer:
Comparison of virtual and physical treadmill environments for training stepping after spinal cord injury. Robotica 21(1): 25-32 (2003)
Conference and Workshop Papers
- 2021
- [c8]Parag Gad, Evgeniy I. Kreydin, Hui Zhong, V. Reggie Edgerton:
Training the bladder how to void: A noninvasive spinal neuromodulation case study. NER 2021: 1010-1013 - 2019
- [c7]Parag Gad, Yury P. Gerasimenko, V. Reggie Edgerton:
Tetraplegia to Overground Stepping Using Non-Invasive Spinal Neuromodulation. NER 2019: 89-92 - 2018
- [c6]Bau Pham, Bilwaj Gaonkar, William Whitehead, Steven Moran, Qing Dai, Luke Macyszyn, V. Reggie Edgerton:
Cell Counting and Segmentation of Immunohistochemical Images in the Spinal Cord: Comparing Deep Learning and Traditional Approaches. EMBC 2018: 842-845 - 2016
- [c5]Yi-Kai Lo, Chih-Wei Chang, Yen-Cheng Kuan, Stanislav Culaclii, Brian Kim, Kuanfu Chen, Parag Gad, V. Reggie Edgerton, Wentai Liu:
22.2 A 176-channel 0.5cm3 0.7g wireless implant for motor function recovery after spinal cord injury. ISSCC 2016: 382-383 - 2015
- [c4]Parag N. Gad, Yury P. Gerasimenko, Sharon Zdunowski, Dimitry Sayenko, Piia Haakana, Amanda Turner, Daniel Lu, Roland R. Roy, V. Reggie Edgerton:
Iron 'ElectriRx' man: Overground stepping in an exoskeleton combined with noninvasive spinal cord stimulation after paralysis. EMBC 2015: 1124-1127 - 2014
- [c3]Chih-Wei Chang, Yi-Kai Lo, Parag Gad, V. Reggie Edgerton, Wentai Liu:
Design and fabrication of a multi-electrode array for spinal cord epidural stimulation. EMBC 2014: 6834-6837 - 2006
- [c2]Lance Cai, Andy J. Fong, Yongqiang Liang, Joel W. Burdick, V. Reggie Edgerton:
Assist-as-needed Training Paradigms for Robotic Rehabilitation of Spinal Cord Injuries. ICRA 2006: 3504-3511 - 2000
- [c1]David J. Reinkensmeyer, Wojciech K. Timoszyk, Ray D. de Leon, R. Joynes, Eugene Kwak, K. Minakata, V. Reggie Edgerton:
A Robotic Stepper for Retraining Locomotion in Spinal-Injured Rodents. ICRA 2000: 2889-2894
Reference Works
- 2014
- [r1]Yury P. Gerasimenko, Victor Reggie Edgerton:
Epidural Stimulation. Encyclopedia of Computational Neuroscience 2014
Coauthor Index
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