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Related Experiment Video

Updated: Jul 10, 2026

Localizing Function-specific Targets for Transcranial Magnetic Stimulation in the Absence of Navigation Equipment
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Localizing Function-specific Targets for Transcranial Magnetic Stimulation in the Absence of Navigation Equipment

Published on: May 23, 2025

A reconfigurable neural signal processor (NSP) for brain machine interfaces.

Shalom Darmanjian1, Grzegorz Cieslewski, Scott Morrison

  • 1Dept. of Electr. & Comput. Eng., Univ. of FL, Gainesville, FL 32611-6200, USA.

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|October 20, 2007
PubMed
Summary

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We developed a smaller, lower-power wearable digital signal processing system for brain-machine interface (BMI) applications. This system acquires neural data, trains prediction models, and transmits results to control a simulated robot arm.

Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Computer Engineering

Background:

  • Previous brain-machine interface (BMI) systems faced challenges with size and power consumption.
  • A need exists for more efficient and compact computational DSP systems for BMI applications.

Purpose of the Study:

  • To design a wearable computational digital signal processing (DSP) system for BMI.
  • To create a smaller and lower-power solution compared to previous designs.
  • To enable wireless transmission of predicted neural data for controlling external devices.

Main Methods:

  • Acquisition of neural data via a high-speed data bus.
  • Training and evaluation of prediction models using acquired neural data.
  • Wireless transmission of predicted results to a simulated robot arm.

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Last Updated: Jul 10, 2026

Localizing Function-specific Targets for Transcranial Magnetic Stimulation in the Absence of Navigation Equipment
09:30

Localizing Function-specific Targets for Transcranial Magnetic Stimulation in the Absence of Navigation Equipment

Published on: May 23, 2025

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
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Published on: May 8, 2021

Main Results:

  • A novel wearable computational DSP system was designed and built.
  • The system demonstrated successful testing with both real and simulated neural data.
  • The new design offers significant reductions in size and power consumption.

Conclusions:

  • The developed wearable computational DSP system effectively addresses limitations of prior designs.
  • This system provides a viable, low-power solution for advancing BMI technology.
  • Successful integration with a simulated robot arm demonstrates practical application potential.