Neural Recording System - PowerPoint PPT Presentation

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Neural Recording System

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Brain sends electrical signals - Neurons. Sent through axons ... Block Diagram of System. Electrode. Electrode. Electrode. Amplifier. Amplifier. Amplifier ... – PowerPoint PPT presentation

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Title: Neural Recording System


1
Neural Recording System
  • By
  • Ivana Duvnjak
  • Stephen Kilpatrick
  • Dawit Fsiha

2
Outline
  • What is a Neural Network Recording System?
  • Why are they important?
  • How can they be improved?
  • Some possible solutions
  • Analysis of some solutions
  • Conclusions

3
Neural Network Recoding Systems
  • Brain sends electrical signals - Neurons
  • Sent through axons
  • Electrical Signals processed by synapses
  • Mapping the brain

4
Applications
  • Medical Research
  • Mental Performance
  • Mental Illness
  • Sleep Disorders
  • Etc.

5
Subsystems
  • Electrode
  • Amplifier
  • Multiplexer
  • Transmitter
  • Receiver

6
Block Diagram of System
MUX
7
Possible Improvements
  • Areas to improve in the neural recording system
  • Electrodes
  • Amplifier
  • Multiplexer
  • Transmitter
  • Receiver

8
Neural LNA Amplifier
  • Functions
  • Power dissipation must kept low
  • Must reject noise ( flicker noise)
  • Amplifying a weak signal received from the
    electrodes
  • Must reject the DC offset created at the
    electrodes-Tissue interface

9
Neural Amplifier Requirements
  • Power dissipation
  • Bandwidth requirement
  • Gain
  • Stability
  • Overall size

10
Amplifier Solutions Design I

OTA Design
Neural Amplifier Circuit
11
Amplifier Solutions Design II
Neural Amplifier Circuit
OTA Design
12
Design I Simulation Results
  • 10 pW power consumption
  • 39.974dB gain
  • Low-cutoff frequency 0.4Hz
  • High-cutoff frequency 7.852kHz
  • Area 0.16mm2
  • Stable

13
Design II Simulation Results
  • 11.5 pW power consumption
  • 40.362dB gain
  • Low-cutoff frequency 83.114Hz
  • High-cutoff frequency 32.526kHz
  • Area 0.091mm2
  • Stable

14
Comparison of Designs

Table 1. Summary of simulation results for the
neural amplifiers
Parameter Expected Circuit 1 Simulation Circuit 2 Simulation
Supply voltage /-2.5V /-2.5V /-1.5V
Power dissipated lt5mW 10pW 11.5pW
Gain 40dB 39.974dB 40.362dB
Bandwidth 7.0kHz 7.852kHz 32.443kHz
Low-frequency cutoff 0.025Hz 0.4Hz 83.144Hz
High-frequency cutoff 7.0kHz 7.852kHz 32.526kHz
15
Conclusions
  • Both designs meet the requirements of
  • Power consumption
  • Stability
  • Size
  • DC offset rejection
  • Design I is significantly better, due to the more
    desirable bandwidth requirements.

16
Implementation
17
References

18
Exit(0)
  • Questions?
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