Reference firmware for PixArt's PAT9125EL sensor and evaluation board. "Hello World" and "Library" contain the exact same files. Please import just one of the two into your mBed compiler as a new program and not as a library.
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Guides
This Wiki page provudes a detailed guide on how to setup and operate PixArt's PAT9125EL sensor with the Nordic nRF52 (recommended) as well as any other microcontroller.
Setup for the Nordic nRF52:¶
Hardware¶
- 1. PC with Windows Operating System
- 2. Nordic nRF52 Microcontroller
- 3. PAT9125EL Evaluation Board
- 4. USB Cable (
Connection:¶
Please connect the board as show below.

Supplying Power¶
Connect the one end of the USB to the PC USB and the other to the Nucleo L476RG miniUSB as shown in the figure below.

I am assuming that you already know and are able to download the code at this point. Once programmed with the latest compiled .bin file, the LED should turn Green, as illustrated below.

Next, we will test to see if the sensor is indeed functional and deriving the Heart Rate.
Functional Test¶
1. Open up Tera Term. If you do not have Tera Term, you can download here.
https://en.osdn.jp/projects/ttssh2/releases/
2. Once you have your Tera Term open, go to File > New Connection or use the Hot Key "Alt + N".
3. Select "Serial".
4. On the Port selection, click on the drop down menu and select the port that describes "COM4: USB SERIAL DEVICE(COM4)".

5. Click on "OK"
6. Go to "Setup" on your top menu, and select "Serial".
7. Set the BAUD Rate to 115200.

8. Select "OK".
9. Place finger gently on the PAH8011 as illustrated below. Remember that finger does NOT need to press hard onto the sensor package in order to derive a heart rate. A gentle touch will do. Keep in mind the first Heart Rate readout will take a few seconds (6 secs of more).

10. Going back to the Tera Term window, you should see the printouts on the TeraTerm Window that includes HR Data and MEMS DATA. Since the Arduino Shield do not come with an Accelerometer, the data will just be 0 throughout. However, the program can take in MEMs data for motion compensation purposes.

Have fun with this and let us know if you have any further questions!