Heart Rate Pulse Sensor Module Soldered Wire

Features:

1. Accurate Heart Rate Monitoring: Utilizes optical sensing technology to detect and monitor heart rate in real-time.
2. Plug-and-Play Compatibility: Easily integrates with Arduino and other microcontrollers without complex wiring.
3. Pre-Soldered Wires: Comes with pre-soldered wires for secure and easy connections.
4. Compact and Versatile: Fits well in various applications such as wearables and health monitoring systems.
5. Low Power Consumption: Operates efficiently with minimal power usage, ideal for battery-powered projects.
6. Integrated Circuits: Built-in amplifying and noise elimination circuits for enhanced accuracy.
7. User-Friendly Design: Finger placement area with a heart logo, green LED, and ambient light sensor.
8. Reverse Protection Diode: Prevents damage from accidental reverse polarity connection.

Description:

This compact module uses advanced optical sensing to provide real-time heart rate data. It's plug-and-play compatible with Arduino, comes with pre-soldered wires, and has integrated circuits for accurate signal processing. Designed for both beginners and advanced users, it features a finger placement logo, a green LED, and automatic brightness adjustment. A reverse protection diode ensures safe operation even under faulty wiring conditions.

Principle of Work:

1. Optical Sensing: An IR LED and photodiode detect changes in light absorption caused by blood flow.
2. Blood Volume Changes: Fluctuations in reflected light correlate with the heartbeat.
3. Amplification and Filtering: Internal circuits amplify signals and eliminate noise.
4. Signal Processing: The sensor processes light intensity variations to extract heart rate data.
5. Output: Provides analog signals for real-time monitoring and interfacing.

Pinout of the Module:

• VCC: Power input (3.3V or 5V).
• GND: Ground connection.
• Signal: Analog signal output for heart rate data.

Applications:

1. Health and Fitness Monitoring: Real-time monitoring in wearables and fitness devices.
2. Medical Devices: Integration into ECG and patient monitoring systems.
3. Biometric Authentication: Heart rate-based identity verification.
4. Stress and Emotion Monitoring: Analyze physiological responses for mental health tracking.
5. Research and Development: Collect physiological data for studies and experiments.
6. Gaming and VR: Create interactive experiences based on user heartbeat.
7. IoT Applications: Use in smart health systems and remote monitoring.

Circuit:

Library:

No library required.

Example Code:

const int PulseSensorPurplePin = A0; // Connects to analog pin A0
const int LED13 = 13;                // Built-in LED on pin 13

int Signal;                          // Stores raw signal data
const int Threshold = 550;           // Threshold for heartbeat detection

void setup() {
  pinMode(LED13, OUTPUT);            // Set LED pin as output
  Serial.begin(9600);                // Begin serial communication
}

void loop() {
  Signal = analogRead(PulseSensorPurplePin); // Read sensor data
  Serial.println(Signal);                    // Print to Serial Plotter

  if (Signal > Threshold) {
    digitalWrite(LED13, HIGH);               // LED on = heartbeat detected
  } else {
    digitalWrite(LED13, LOW);                // LED off = no beat
  }

  delay(10);                                  // Small delay for stability
}

Code Explanation:

1. Defines constants for sensor input and LED output.
2. Initializes LED pin and serial communication in setup().
3. In loop(), reads analog data, prints to Serial Plotter, and toggles the LED based on signal threshold.

Technical Details:

• Dimensions: 16 mm diameter, 3 mm thickness
• Working Voltage: 3-5 V
• Working Current: 4 mA @ 5 V
• Cable Length: 18 cm
• Connections: GND, VCC, analog signal out

Resources:

• Tutorial

Comparison with AD8232 Heart Rate Monitor:

1. Functionality: Pulse Sensor provides heart rate only, while AD8232 offers heart rate and ECG.
2. Sensing Technology: Pulse Sensor uses optical IR sensing; AD8232 uses ECG electrodes.
3. Output: Pulse Sensor outputs analog heart rate signal; AD8232 outputs digital ECG data.
4. Signal Processing: AD8232 has built-in advanced processing; Pulse Sensor requires external filtering for complex analysis.
5. Applications: Pulse Sensor suits fitness and wearables; AD8232 fits medical and research applications.
6. Power: Both operate at 3-5V; consumption may vary by use case.