Accession Number:

ADA411898

Title:

An Approach to Noise Reduction in Human Skin Admittance Measurements

Descriptive Note:

Conference paper

Corporate Author:

CANKAYA UNIV ANKARA (TURKEY)

Personal Author(s):

Report Date:

2001-10-25

Pagination or Media Count:

5.0

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.

Subject Categories:

  • Anatomy and Physiology
  • Numerical Mathematics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE