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Published on: June 3, 2015
A wide range charge-balancing circuit using floating-gate transistors
1Electrical and Computer Engineering Department, North Carolina State University, Raleigh, NC 27606 USA. jhu4@ncsu.edu
Summary
A novel CMOS circuit generates charge-balanced biphasic current pulses for precise neural electrical stimulation. This efficient circuit offers adjustable amplitude and duration, suitable for advanced neural microstimulators.
Area of Science:
- Neuroscience
- Electrical Engineering
- Biomedical Engineering
Background:
- Electrical stimulation is crucial for neuroscience research and therapeutic applications.
- Existing methods for generating stimulation pulses face challenges in precision and efficiency.
- Developing advanced microelectronic circuits is key to improving neural interfaces.
Purpose of the Study:
- To design and implement a novel CMOS circuit for generating charge-balanced biphasic current pulses.
- To enable precise control over stimulation parameters like amplitude and duration.
- To enhance the efficiency and applicability of neural microstimulators.
Main Methods:
- A complementary metal-oxide-semiconductor (CMOS) circuit was designed.
- A synaptic current source was utilized to generate discharging current pulses.
- Programmable floating-gate transistors were employed for amplitude and duration control.
- The circuit was characterized for its stimulation output parameters.
Main Results:
- The designed CMOS circuit successfully produced charge-balanced biphasic current pulses.
- Stimulation current amplitude ranged from 100 picoamperes (pA) to 110 nanoamperes (nA).
- The pulse period was adjustable from 0.2 seconds (s) to 1 s.
- Programmable floating-gate transistors allowed precise control over pulse amplitude and duration.
Conclusions:
- The developed CMOS circuit provides an efficient and controllable method for neural electrical stimulation.
- The circuit's high stimulation efficiency makes it suitable for various neural microstimulator applications.
- This technology holds potential for advancing neural interface devices and neuroscience research.
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