An Approach to Noise Reduction in Human Skin Admittance Measurements

Abstract

This paper presents the development of a signal averaging algorithm for recovering excitation responses contaminated by overwhelming amount of various types of interference in skin admittance measurements. The algorithm is designed to eliminate Gaussian-distributed noise by use of a recursive approach. The process of recovering low magnitude voltage responses from highly noise-contaminated waveforms is a CPU-intensive task. In real-time measurements, iterative reconstruction algorithm is inefficient and time consuming when slow varying input waveforms are present. To increase the quality of the reconstruction a considerably large number of recursions is required. Increasing the number of recursions is appropriate for batch processing of measurement data. However, the algorithm considers measurements in real-time, whereas required quality, of signal reconstruction should be kept independent from the number of recursions.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA411898

Entities

People

  • Suleyman Kondakci

Organizations

  • Çankaya University

Tags

Communities of Interest

  • Biomedical
  • Cyber
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Batch Processing
  • Computer Simulations
  • Data Processing
  • Digital Data
  • Digital Signal Processing
  • Electrical Engineering
  • Engineering
  • Frequency
  • Information Systems
  • Instrumentation
  • Noise
  • Noise Reduction
  • Power Spectra
  • Security
  • Signal Processing
  • Test And Evaluation

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Electrical Engineering
  • Mathematics or Statistics