Adaptive Approach for Change Detection in EMG Recordings

Abstract

In this paper we present a new algorithm to detect abrupt changes in a signal when there is no a priori knowledge of the hypotheses on the process to be detected. This algorithm is based on the CUSUM algorithm. It can be applied in case of frequency and energy changes. This algorithm works when the samples are dependant and autoregressive modeling is needed. It is used to distinguish EMG segments from noise segments.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA410375

Entities

People

  • J. Duchene
  • M. Khalil
  • W. El Falou

Organizations

  • Lebanese University

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Bandpass Filters
  • Change Detection
  • Classification
  • Detection
  • Engineering
  • Frequency
  • Hypotheses
  • Military Research
  • Probability
  • Probability Density Functions
  • White Noise

Readers

  • Computational Modeling and Simulation
  • Regression Analysis.
  • Speech Processing/Speech Recognition.