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80 lines
4.0 KiB
Markdown
80 lines
4.0 KiB
Markdown
# Pulse Sensor + Serial Studio Example
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## Overview
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This project demonstrates how to use Serial Studio to visualize data from a pulse sensor connected to an Arduino. The Arduino program reads raw data from the pulse sensor, applies a low-pass filter to remove high-frequency noise, and uses a moving average filter to further smooth the signal. The filtered signal is then transmitted via serial communication for real-time visualization.
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With **Serial Studio**, you can use the **Quick Plot** feature to easily visualize the data, similar to the Arduino IDE's Serial Plotter, and also export the data into a playable CSV file for later analysis.
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**Compatibility**: This project is compatible with any pulse sensor module connected to an analog pin on an Arduino. The program uses analog pin **A0** for reading the pulse sensor data.
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## Hardware Setup
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To get started, you will need a pulse sensor and an Arduino board. Connect the **signal output** of the pulse sensor to the **analog pin A0** of the Arduino.
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### Connections
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- **Pulse Sensor Signal Output**: Connect to the Arduino's **analog pin A0**.
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- **Power and Ground**: Connect the pulse sensor power (VCC) and ground (GND) pins to the Arduino's respective **5V** and **GND** pins.
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## Step-by-Step Guide
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### 1. Arduino Sketch (`PulseSensor.ino`)
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This sketch reads the analog value from the pulse sensor, applies filtering, and transmits the filtered data over the serial port.
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#### Program Overview:
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- **Low-Pass Filtering**: Smooths out high-frequency noise from the raw sensor readings.
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- **Moving Average Filtering**: Further smooths the filtered signal to make it more consistent.
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- **Serial Output**: The final filtered value is printed via the serial port at a baud rate of **115200**, which can be visualized in Serial Studio.
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### Code Structure:
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The Arduino sketch reads raw data from the pulse sensor connected to **A0**, then processes it through two stages of filtering:
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1. **Low-Pass Filter**: Reduces high-frequency noise.
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2. **Moving Average Filter**: Smooths the filtered signal further.
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The final filtered signal is printed to the serial port, allowing you to visualize the data using Serial Studio.
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### 2. Serial Studio Configuration
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#### Using Quick Plot in Serial Studio
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1. **Download and Install Serial Studio**:
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Visit [Serial Studio's official website](https://serial-studio.github.io/) to download and install the software.
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2. **Open Serial Studio**:
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- Connect your Arduino to your computer.
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- Launch Serial Studio and select the appropriate serial port.
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- Set the **baud rate** to **115200**, which matches the settings in the Arduino sketch.
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3. **Enable Quick Plot**:
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- In Serial Studio, click on the **Quick Plot** radio box in the **Setup** pane. This will automatically plot all numerical values received line by line from the serial port, similar to the Arduino IDE's Serial Plotter.
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- The real-time plotting allows you to observe the filtered pulse sensor data visually.
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4. **CSV Export**:
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One of the advantages of Serial Studio is that it allows you to export a **playable CSV file** of the serial data, even if you have not created a JSON project. This file can be used for further analysis or for sharing your results.
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### 3. Viewing Filtered Pulse Data in Serial Studio
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After setting up Serial Studio:
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- **Connect to the Arduino**: Ensure the correct serial port is selected, and set the baud rate to **115200**.
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- **Visualize the Data**: The filtered pulse signal will be plotted in real-time, giving you a clear view of the pulse waveform.
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- **CSV Logging**: You can save the data into a CSV file directly from Serial Studio for offline analysis.
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### Troubleshooting Tips
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- **No Data in Quick Plot**: Ensure that the pulse sensor is correctly connected and that the serial port and baud rate match the configuration in Serial Studio.
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- **Noise in the Plot**: If the data appears noisy, consider adjusting the **low-pass filter coefficient** (`lowPassAlpha`) in the Arduino sketch for a smoother signal.
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