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Classwork for Numpy / Matplotlib

Pulse Oximeter Data

The file overall_data.dat is a text file that contains integers separated by commas. The first row contains photoelectric plethysmorgraphy data from a pulse oximeter. The second row contains blood pressure data. The third row contains ECG data. There is no time data, so assume equal time intervals between data points.

Curve matching

The file curve_to_match.dat is a text file that contains floats separated by commas. The first row contains the time data. The second row contains the signal value. This curve was generated by adding a sine wave and a cosine wave:

curve1 = amplitude1 * sin (frequency1 * time)
curve2 = amplitude2 * cos (frequency2 * time)

amplitude1, amplitude2, frequency1, and frequency2 were each given integer values between 1 and 5 inclusive.

  • Read in this data and plot the signal vs. time.
  • Create a sine wave and cosine wave using the formula above.
  • Sum these two waves and compare to the target curve.
  • Vary the values for amplitudes and frequencies until the curves match.

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