Skip to content

vortex2jm/embedded-hr-estimator

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

85 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

HR Predictor

Requirements

It's highly recommended to install ESP-IDF VSCode extension. Follow the official documentation instructions. It's also recommended to install Microsoft C/C++ extension pack.

Usage

Firstly clone the repository and open VSCode within workspace directory. Then, open the command pallete and select:

> ESP-IDF: Add VS Code Configuration Folder

It resolves the compiler's path and syntax highlighting.

So, connect your device and:

> ESP-IDF: Select Port to Use 

Now you must select the device target:

> ESP-IDF: Set Espressif Device Target

In this case the project is designed for ESP32S3, and OpenOCD Board Configuration uses builtin USB-JTAG.

At this point, the project is almost ready to run and you just have to build, flash and monitor selecting the following commands:

> ESP-IDF: Build Your Project
> ESP-IDF: Flash Your Project 

Select flash method. In this project I'm using UART.

🚧

About

Real-time heart rate estimation on ESP32-S3 using a continual learning model, decoupled FreeRTOS pipeline and SIMD-accelerated signal processing.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors