Battery-Less Electroencephalogram System Architecture Optimization

Abstract

This report presents a new self-powered architecture to enable real-world recording of electroencephalograms, which will enable research-grade recording outside of the laboratory setting. The system operates on just 1 of the power of a regular full-powered system, which makes it possible to power it from a power-harvesting scheme using a thermoelectric generator. This work presents a comparison of several different versions of this architecture and analysis of the major design parameters available to the circuit designers to determine the best parameters to impact the performance (power and recording fidelity) of the system.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2016
Accession Number
AD1023184

Entities

People

  • Peter Gadfort
  • Renooka Karmarkar

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Acquisition
  • Algorithms
  • Amplifiers
  • Bandwidth
  • Converters
  • Data Acquisition
  • Electroencephalography
  • Energy Harvesting
  • Frequency
  • Generators
  • Internet Of Things
  • Low Noise Amplifiers
  • Military Research
  • Optimization
  • Reliability
  • Temperature Gradients

Fields of Study

  • Computer science

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Electrical Engineering
  • Software Engineering.