Giter Site home page Giter Site logo

paolaos / pulse Goto Github PK

View Code? Open in Web Editor NEW

This project forked from protocentral/pulse

0.0 1.0 0.0 2.82 MB

https://www.protocentral.com/sensors/1030-protocentral-pulse-oximeter-heart-rate-sensor-based-on-max30100.html

License: Other

C++ 0.16% Processing 5.66% HTML 80.75% CSS 0.17% Java 13.25% JavaScript 0.01%

pulse's Introduction

Pulse

Oximeter
ProtoCentral Pulse Oximeter & Heart Rate Sensor based on MAX30100 (PC-6565)

The Pulse sensor board from ProtoCentral is our new addition to our open medical hardware line-up. Maxim's MAX30100 is a great new product that combines everything required for a pulse oximeter (including the LEDs and Photodiode !!) on a single tiny chip. Measuring 14 mm wide and 40 mm long, this board is easily wearable on the finger to measure the pulse of blood. We even provide a Velcro strap to hold it. Important Note: This device is only meant to be used for Research purposes and is NOT to be used as a medical device. This product is not FDA, CE or FCC approved for consumer use.

Features:

  • Integrates a complete pulse oximeter including the optics. No need for a separate probe.
  • Easy-to-use I2C interface to connect to any host microcontroller
  • Arduino library available
  • Calculates Spo2 values with provided code
  • Real-time display of PPG (Photoplethysmogram)

Includes:

  • 1x ProtoCentral Pulse Oximeter breakout
  • 1x Welgro strap

Repository Contents

  • /Software - Arduino and Processing library and example sketches.
  • /Hardware - All Eagle design files (.brd, .sch)
  • /extras - includes the datasheet

Wiring the Breakout to your Arduino

Connection with the Arduino board is as follows:

Pulse pin label Arduino Connection Pin Function
VCC +5V Supply voltage
SCL A5 Serial clock
SDA A4 Serial data
GND Gnd

Using Processing - Data Visualization Software (New!)

Processing is a data visualization software, in existence since 2001, used by artists and scientists alike. It’s an open source coding framework based on Java. If you are familiar with the Arduino environment, the Processing IDE is similar and you won’t have much of a learning curve to climb!

The following are the steps to run the code:

1. Download Processing for your operating system

Download the processing ide latest version from the link

Once downloaded, unzip the archive and install the app as per your OS.

2. Download the Processing code for Pulse Oximeter visualization

a. Download the necessary files & directories or clone to your desktop from GitHub.

b. Unzipping the archive should make a folder by name Pulse that contains the visualization code.

c. Locate the Processing sketchbook directory on your computer. This should have been created automatically when you installed processing. Depending on your operating system, the path will be as follows:

  • On Windows: c:/My Documents/Processing/
  • On MAC: /Users/your_user_name/Documents/Processing/
  • On Linux: /Home/your_user_name/sketchbook/

Note: This directory appears as "Processing" on Windows/Mac, and goes by the name "Sketchbook" on Linux. Create a subdirectory by name "libraries" if one doesn't exist already.

d. From the above mentioned "Pulse" directory Copy/Move the contents of the Pulse-master/Software/Processing/openview_oximeter folder to the Processing sketchbook directory which is also mentioned above (Locate the Processing sketchbook)

e. Finally, copy the G4P directories from Pulse-master\Processing\libraries and paste them into the libraries directory of your Processing sketchbook.

f. You are all set now to get your first PPG wave form and SpO2 reading visualized from the Pulse!

3. Open Processing & launch the openview_oximeter

a. If Processing IDE was open, close it and reopen to refresh the libraries and sketches. The repositories are not refreshed if the IDE was open while the Sketches and Libraries were being updated.

b. Double-click any of the .pde files in the openview_oximeter directory to open all of the pulse oximeter code in the Processing IDE.

c. If everything done so far was good, clicking the "run" button on the top left corner of the IDE, should run the code! If it does not, make sure you installed your libraries correctly.

d. Once the GUI is running, select the port connect with pulse oximeter shield from the "SELECT PORT" dropdown as shown in the figure below

Port Selection

e. Once the port selection is appropriate the START button gets enabled. Click "START" to initiate visualization

f. You should see the PPG ( RED and IR) waves generated with the values obtained from the Pulse as shown below.

PPG Wave Form in Processing

License Information

This product is open source! Both, our hardware and software are open source and licensed under the following licenses:

Hardware

All hardware is released under Creative Commons Share-alike 4.0 International. CC-BY-SA-4.0

Software

All software is released under the MIT License(http://opensource.org/licenses/MIT).

Please check LICENSE.md for detailed license descriptions.

pulse's People

Contributors

venkateshbhat avatar protocentralashwin avatar

Watchers

James Cloos avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.