Conference proceeding
A Real-Time System for Small Animal Neurorobotics at Spinal or Cortical Levels
Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005, v 2005, pp 450-453
2005
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
We present a real-time system for small animal neurorobotics and neuroprosthetics at spinal or cortical levels. The system combines biomechanics, neural recording and a 3D robotics system including sensable devices phantoms, ATI 6 axis force transducers, cybernetics (bionic technology) cerebus neural recording system, computer boards buffered DAS16s, and an OPTOTRAK and 120 Hz camera system. The system allows real-time combination of neural data, force data and robot interaction at rates of 1 kilohertz, and allows full data recording. Up to 2 robots and 5 force sensors with 128 channels of neural data and 16 channels of EMG form the present core system. The force sensors and robot are controlled from a single machine using a dedicated Venturcom/Phar Lap ETS real time operating system. Elastic, viscous, translational and barrier constraint fields can be combined or recruited by neural activity. The main control loop can also support PID control. Neural data from up to 256 neurons (2 per channel, 128 channels) identified in real-time with multiple threshold windows on the cybernetics are delivered for robot control. Other data collection is synchronized by the main host. The robot(s) connect to rats or frogs through bone implants or with a saddle-harness arrangement
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Details
- Title
- A Real-Time System for Small Animal Neurorobotics at Spinal or Cortical Levels
- Creators
- S.F Giszter - Drexel UniversityC.B Hart - Drexel UniversityU.I Udoekwere - [School of Biomedical Engineering and Health Science, Philadelphia, PA, USA]S Markin - University of PennsylvaniaC Barbe - University of PennsylvaniaIEEE
- Publication Details
- Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005, v 2005, pp 450-453
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Neurobiology and Anatomy
- Web of Science ID
- WOS:000229610400121
- Scopus ID
- 2-s2.0-33744471372
- Other Identifier
- 991019170573204721
UN Sustainable Development Goals (SDGs)
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Source: SDGs in the Output
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Interdisciplinary Applications
- Engineering, Biomedical