Biomedical Data Acquisition Systems Based on Sigma-Delta Analogue-to-Digital Converters

Abstract

The high resolution of recent sigma-delta analog-to-digital converters (ADCs) has made possible the direct acquisition of a wide range of biomedical data. Such ADCs allows creating universal systems for medical research and for clinical practice. The performance of biomedical data acquisition systems is generally limited by the precision of the digital input data, which is achieved at the interface between analog and digital signals. The recent developments in digital VLSI technologies provide the practical means to implement the Sigma-Delta analog-to-digital converters (ADCs). The increasing use of digital techniques in biomedical data acquisition systems also has contributed to the recent interest in cost-effective, high precision ADCs. Sigma-delta modulation based on analog-to-digital conversion technology is a cost-effective alternative for high resolution (greater than 14 bits) converts, which can be ultimately integrated on digital signal processor ICs. This study details the use of sigma-delta ADCs in acquiring signals from electrocardiograms and electroencephalograms. ADC and software specifications for ECG and EEG signal processing are provided. A table presents frequency range, dynamic range, and comments on signal processing for electroretinogram, electrooculogram, EEG, visual evoked potentials, surface EMG, and ECG. (1 table, 3 figures, 5 refs.)

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA412246

Entities

People

  • A. V. Plotnikov
  • D. A. Prilutskiy
  • E. V. Aksenov
  • S. V. Selishchev
  • Yu. M. Ljashenko

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Acquisition
  • Amplifiers
  • Analog Signals
  • Analogs
  • Converters
  • Data Acquisition
  • Delta Modulation
  • Dynamic Range
  • Electrocardiography
  • Filters
  • Filtration
  • Frequency
  • Frequency Domain
  • High Resolution
  • Sampling
  • Standards

Fields of Study

  • Engineering
  • Physics

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Integrated Circuit Design and Technology.

Technology Areas

  • Biotechnology