File Exchange > Data Analysis >    Pulse Integration

OriginLab Technical Support
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Pulse Inte...on.opx
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Perform integration on the pulse data to calculate the area of pulses.

Screen Shot and Video:


The purpose of this App is to perform integration on the pulse data to calculate the area of pulses.


Download the file and drag-and-drop onto Origin. A new icon named Pulse Integration will appear in the Apps Gallery window.

Basic Usage:

  1. Activate a Y column in worksheet or a source graph with a pulse data plot.
  2. Click on the App icon in the App Gallery.
  3. In the Preview Panel of the dialog:
    • Move or resize the ROI box to scan the entire data by segments.
    • To zoom into the data, drag the pair of the triangles at the bottom to the new positions respectively to set the new scale values of the X-axis.
    • Click the Rescale X button to rescale the X-axis to full X range.
  4. Optionally adjust the number of Local Points which will be used to find the peaks with the Local Maximum method.
  5. Optionally click Find button to check the number of peaks finding in full range.
  6. Optionally click Show Peak checkbox to show the blue peak marker lines in ROI Data.
  7. Optionally select the filtering method and enter the corresponding threshold value in Peak Filtering item.
  8. Click OK button to output a result sheet.


  1. This App might not run properly on computers with Internet Explorer version 9 or earlier.
  2. This app does NOT support baseline detection and subtraction. It ALWAYS assumes that the pulse data has subtracted the baseline.
  3. A larger number of peaks can slow down integration. So if calculating for a larger number of peaks, expect a bit of a delay.


v1.17 07/13/2023 Fixed bug of finding peak markers.
v1.16 Improved speed and added new computation controls
v 1.1 Fixed the issue of graph preview when maximizing the dialog.

Reviews and Comments:
01/03/2024hassanamIt is rather good.
There are some notes, like adding:
partial derivatives and finite integration to the menu.
also more nonpolynomial regression (as seen in Table curve)