IEEE Transactions on Neural Systems and Rehabilitation Engineering · 2015 · 68 citations · 26 references
EngineeringBiomedical EngineeringNeuroscienceNeural EngineeringNeurorehabilitationRehabilitationImplantable Biomedical DevicesImplantable Neural DevicesNeural StimulationNeurostimulationSpinal Cord InjurySpinal Cord StimulationEpidural StimulationImplantable Neural StimulationImplantable Pulse Generator ProgrammingNeural Stimulation DevicesSpinal Cord Injury RecoverySpinal Cord Stimulation DevicesStimulation ParametersWireless Data Transmission
Epidural spinal cord stimulation (ESCS) combined with partial weight-bearing therapy (PWBT) has been shown to facilitate recovery of functional walking for individuals after spinal cord injury (SCI). The investigation of neural mechanisms of recovery from SCI under this treatment has been conducted broadly in rodent models, yet a suitable ESCS system is still unavailable. This paper describes a practical, programmable, and fully implantable stimulator for laboratory research on rats to explore fundamental neurophysiological principles for functional recovery after SCI. The ESCS system is composed of a personal digital assistant (PDA), an external controller, an implantable pulse generator (IPG), lead extension, and stimulating electrodes. The stimulation parameters can be programmed and adjusted through a graphical user interface on the PDA. The external controller is placed on the rat back and communicates with the PDA via radio-frequency (RF) telemetry. An RF carrier from the class-E power amplifier in the external controller provides both data and power for the IPG through an inductive link. The IPG is built around a microcontroller unit to generate voltage-regulated pulses delivered to the bipolar electrode for ESCS in rats. The encapsulated IPG measures 22 mm × 23 mm × 7 mm with a mass of ∼ 3.78 g. This fully implantable batteryless stimulator provided a simplified and efficient method to carry out chronic experiments in untethered animals for medical electro-neurological research.
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Susan J. Harkema, Yury Gerasimenko, Jonathan E. Hodes et al. · The Lancet · 2011 · 1.2K citations
Michael Carhart, Jiping He, Richard Herman et al. · IEEE Transactions on Neural Systems and Rehabilitation Engineering · 2004 · 180 citations