Power Budget of a Skull Unit in a Fully-Implantable Brain-Computer Interface: Bio-Heat Model

Claudia Serrano-Amenos, Payam Heydari, Charles Y. Liu, An H. Do, Zoran Nenadic

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

The aim of this study is to estimate the maximum power consumption that guarantees the thermal safety of a skull unit (SU). The SU is part of a fully-implantable bi-directional brain computer-interface (BD-BCI) system that aims to restore walking and leg sensation to those with spinal cord injury (SCI). To estimate the SU power budget, we created a bio-heat model using the finite element method (FEM) implemented in COMSOL. To ensure that our predictions were robust against the natural variation of the model's parameters, we also performed a sensitivity analysis. Based on our simulations, we estimated that the SU can nominally consume up to 70 mW of power without raising the surrounding tissues' temperature above the thermal safety threshold of 1°C. When considering the natural variation of the model's parameters, we estimated that the power budget could range between 47 and 81 mW. This power budget should be sufficient to power the basic operations of the SU, including amplification, serialization and A/D conversion of the neural signals, as well as control of cortical stimulation. Determining the power budget is an important specification for the design of the SU and, in turn, the design of a fully-implantable BD-BCI system.

Original languageEnglish (US)
Pages (from-to)4029-4039
Number of pages11
JournalIEEE Transactions on Neural Systems and Rehabilitation Engineering
Volume31
DOIs
StatePublished - 2023

Keywords

  • Brain-computer interface (BCI)
  • chest wall unit (CWU)
  • electrocorticography (ECoG)
  • finite element method (FEM)
  • skull unit (SU)

ASJC Scopus subject areas

  • Internal Medicine
  • General Neuroscience
  • Biomedical Engineering
  • Rehabilitation

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