ipad

A clinic in the Cloud

PulsePal is an API for remote biotelmetry

With just a 15 second video of your face, our algorithms can give a very complete and very accurate summary of your current health status.

See It in Action!

Demos


Baby Heart Rate Monitor Example

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Demo 1

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Truth Measured
HR: 80 78.93
HRV: - 47

Demo 2

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Truth Measured
HR: 60 60.72
HRV: - 63

Demo 3

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Truth Measured
HR: 75 75.24
HRV: - 47

The Numbers

1

Smartphones per Clinic

400

Number of Trials

0

HR Accuracy

1

Doctor per 1000+ patients
  • Heart Rate
  • Vital #1. We've got you covered...within 3.32 BPM

  • Heart Rate Variability
  • The "it" vital. Word on the street is, HRV may be the golden metric.

  • Temperature
  • Hot or not? Let our algorithms decide.

  • Breathing Rate
  • Get your zen on.

Meet the Team

We built PulsePal to empower creators. How can we help you?

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Juan Sepulveda

Web Architecture

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Sara Fridovich-Keil

Data Processing

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Aana Bansal

Strategy and Product Manager

Instructions

Here's how to use our demo

Set Up

  • Computer
  • Webcam
  • QuickTime Player

Record

  • Sit in front of webcam in a well lit space
  • Open Quick-Time Go to File -> New Movie Recording
  • Click on the arrow next to the record button and select maximum recording quality
  • Record yourself for 30 seconds. Make sure your face is not cut off. Relax and breathe naturally!
  • Upload your video to our website.

Interpret

You will see three values and four graphs.
  • The graph on the top right corner is your frequency spectrum. The peak is your heart rate.
  • The graph on the bottom right is your heart beat.
  • The one on the bottom left is the raw input that is being processed by our algorithms.
  • Confidence is our confidence percentage in that value
Start

Citations

Building upon the shoulders of giants
  • Poh, M.-Z. et al. (2011), Advancements in Noncontact, Multiparameter Physiological Measurements Using a Webcam. IEEE Trans. Biomed. Eng., 58: 7-11.
  • Poh, M.-Z. et al. (2010), Non-Contact, Automated Cardiac Pulse Measurements Using Video Imaging and Blind Source Separation. Optics Express, 18: 10762-10774.
  • Saragih, J. M. et al. (2009), Face Alignment through Subspace Constrained Mean-Shifts. IEEE 12th International Conference on Computer Vision, 1034-1041.
  • Tarvainen, M. P. et al. (2002), An Advanced Detrending Method with Application to HRV Analysis. IEEE Trans. Biomed. Eng., 49: 172-175
  • Clifford, Gari D. Signal processing methods for heart rate variability. Thesis. 2002. N.p.: n.p., n.d. Print.

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