This instruction manual will cover everything you need to know in order to create your own do it yourself affordable health and fitness tracker while also gaining useful coding skills along the way.
1x Arduino Nano Kit
1x OLED Adafruit screen
2x 170-Tie-Point Mini Breadboard
1x Max30102 Pulse sensor
8x jumper wires
Access to any computer or laptop that has USB ports
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Step 1: Assembly
Step 1: Attach Arduino Nano to one breadboard making sure the side with the pins goes all the way into the breadboard.
Step 2: Assembly
Attach a second breadboard to the first one (Note the picture does not include the Arduino Nano connected in step one).
Step 3: Assembly
Step 3: Attach the OLED screen to the second breadboard making sure that the pin side is fully pushed down but do not push too hard as you do not want to break the screen (You can put connect the screen to the breadboard before or after connecting the two breadboards together the picture shows it connected before connecting the breadboards).
Step 4: Wiring
Follow the diagram below to properly wire the screen to the Arduino Nano
Wiring: (Using Jumper Wires)
If your bread board is set up as ours, then you should be able to follow the following instructions word for word. Please refer to the diagrams when following the instructions.
The coloring of the wires does not matter.
1. Connect G3 on board 2 to H4 on board 1
2. Connect H4 on board 2 to H6 on board 1
3. Connect G5 on board 2 to H9 on board 1
4. Connect H6 on board 2 to I10 on board 1
5. Connect I14 on board 2 to J6 on board 1
6. Connect H15 on board 2 to J10 on board 1
7. Connect I16 on board 2 to J9 on board 1
8. Connect H17 on board 2 to B6 on board 1
Double check the wiring before plugging the Arduino into the computer and make any adjustments while the Arduino is unplugged.
Step 5: Code Libraries
Before proceeding please download the following code libraries in order for the code to function properly
Step 6: Heart Rate Sensor Code
Insert the following code from the link into your Arduino IDE
This is an entry in the
Assistive Tech Contest