DocumentCode
1137329
Title
The effects of maturation on early and late phases of phrenic neurogram during eupnea
Author
Akay, Metin ; Sekine, Masaki
Author_Institution
Thayer Sch. of Eng., Dartmouth Coll., Hanover, NH, USA
Volume
51
Issue
11
fYear
2004
Firstpage
1954
Lastpage
1959
Abstract
We investigate the effects of maturation on the early and late phases of the phrenic neurogram. We have used the matching pursuit (MP) method to examine the effects of maturation on breathing patterns in both time and frequency domains. The MP was chosen since the wavelet transform method may not represent signals whose Fourier transforms have a narrow high-frequency support. The phrenic neurogram was recorded from 25 piglets (3-35 days) during eupnea (normal breathing) at three postnatal age groups: young (3-7 days (n=9)), (middle) 10-21 days (n=6), and old (29-35 days (n=10)). The energy percentage of atoms representing the nonperiodic neural activities (NPNAs) significantly decreased from young age to middle age groups (p<0.01) and from young age to old age groups (p<0.01), and from middle age to old age groups (p<0.055) in the early phase (the first half) of the phrenic neurogram, but these changes were not statistically significant in the late phase (the second half) of the phrenic neurogram as maturation proceeded. However, the energy percentage of atoms representing the periodic neural activities (PNAs) decreased with maturation, but these changes were not statistically significant in the early phase of the phrenic neurogram. The energy percentage of (PNAs) increased in the late phase of the phrenic neurogram as maturation proceeded although these changes were only significant between young and old age groups (p<0.01). These results suggest that the significant decrease of the NPNAs in the early phase and the increase in the late phase of the phrenic neurogram could be a sign of maturation in piglets.
Keywords
brain; fast Fourier transforms; medical signal processing; neurophysiology; pneumodynamics; time-frequency analysis; 3 to 35 day; breathing patterns; early phrenic neurogram phase; eupnea; frequency domains; late phrenic neurogram phase; matching pursuit method; maturation effects; nonperiodic neural activities; piglets; short-time Fourier transform; time domains; wavelet transform method; Animals; Biomedical engineering; Fourier transforms; Frequency domain analysis; Matching pursuit algorithms; Morphology; Neurons; Power engineering and energy; Presence network agents; Wavelet transforms; Action Potentials; Age Factors; Aging; Algorithms; Animals; Animals, Newborn; Biological Clocks; Diagnosis, Computer-Assisted; Electromyography; Female; Male; Motor Neurons; Pattern Recognition, Automated; Periodicity; Phrenic Nerve; Respiration; Swine;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/TBME.2004.834257
Filename
1344198
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