Timefrequency Spectrograms of Orometer Data - PowerPoint PPT Presentation

1 / 8
About This Presentation
Title:

Timefrequency Spectrograms of Orometer Data

Description:

... of sucking as it changes over time. Irregularity in sucking, visible as ... The sucking in this portion of the signal shows less regularity, so the lower ... – PowerPoint PPT presentation

Number of Views:38
Avg rating:3.0/5.0
Slides: 9
Provided by: wcl9
Category:

less

Transcript and Presenter's Notes

Title: Timefrequency Spectrograms of Orometer Data


1
Time-frequency Spectrogramsof Orometer Data
  • Chris Lang
  • Indiana University Southeast
  • October 11, 2006

2
What this analysis may show
  • Frequency of sucking as it changes over time
  • Irregularity in sucking, visible as low-frequency
    harmonics
  • Jaggedness of sucks, visible as high-frequency
    energy

3
Hai 5-4-06 1400 40-60s
  • Strong, regular signal with energy concentrated
    at about 1.3 Hz (a bit more than one suck per
    second)

4
Sma 5-10-06 1500 20-40s
  • This shows a change of frequency from above 2 Hz
    down to 1 Hz

5
Mew 5-31-06 1730 (80-100sec)
  • This shows a primary frequency of about 1.4 Hz
    and a harmonic frequency of about half of that
    (0.7 Hz), which occurs because the sucks tend to
    alternate in amplitude (tallness)

6
Mew 5-31-06 1730 (140-160sec)
  • The sucking in this portion of the signal shows
    less regularity, so the lower frequency
    information (below 1 Hz) is less concentrated.

7
DenB 4-17-06 1630 (80-100sec)
  • This shows a noticeable amount of energy in
    higher frequencies (above 2 Hz), which is due to
    the jagged, irregular shape of the suck waveforms.

8
More concerning this analysis.
  • Performed using a variant of Fourier analysis
    known as continuous wavelet transform analysis
    which is well-suited for this type of analysis.
  • For convenience and for more control, the graphs
    and spectrograms were generated by software
    written by the author but certain commercial
    software programs also will draw similar
    time-frequency spectrograms.
  • Acknowledgements Many discussions with Mr. Scott
    Buckley have helped me understand what this
    analysis might say about infant feeding. I am
    also grateful to Scott for providing me with
    Phase I and Phase II data.
Write a Comment
User Comments (0)
About PowerShow.com