Literature DB >> 7353918

Electromyogram processing for sleep research.

E Othmer, S C Othmer, P M Fishman, M W Vannier.   

Abstract

A computer method for quantifying the submental electromyographic surface interference pattern (EMG) during sleep and wakefulness by amplitude envelope measurement for consecutive 2-sec intervals is described. The method is largely insensitive to electrocardiogram (EKG) artifact. Though this algorithm was developed as part of a program to detect electroencephalographic (EEG), electrooculographic (EOG), tonic and phasic EMG changes during sleep, the method is applicable by itself wherever the envelope width of the EMG interference pattern is of interest. The results obtained correlate well with visual estimates of the amplitude envelope of the raw EMG. It offers increased speed, accuracy and reproducibility compared to visual EMG evaluation and enables a high degree of information extraction. The simplicity of the algorithm permits implementation and on-line processing on a small laboratory computer.

Mesh:

Year:  1980        PMID: 7353918     DOI: 10.1016/0020-7101(80)90004-5

Source DB:  PubMed          Journal:  Int J Biomed Comput        ISSN: 0020-7101


  2 in total

1.  A model-based monitor of human sleep stages.

Authors:  B Kemp; E W Gröneveld; A J Janssen; J M Franzen
Journal:  Biol Cybern       Date:  1987       Impact factor: 2.086

Review 2.  The Learning Curve in neurofeedback of Peter Van Deusen: A review article.

Authors:  Valdenilson Ribeiro Ribas; Renata de Melo Guerra Ribas; Hugo André de Lima Martins
Journal:  Dement Neuropsychol       Date:  2016 Apr-Jun
  2 in total

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