Heart rate monitoring using Arduino and pulse sensor
- 1. GOVERNMENT ENGINEERING COLLEGE, KARWAR-581345 DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING MINI PROJECT PRESENTATION ON “Real-Time Heart Rate Monitoring Using Arduino and pulse Sensor” UNDER THE GUIDANCE OF: Dr. A.L. CHOODARATHNAKARA Associate Professor Head of Dept. GEC Karwar ,Majali SUBMITTED BY: BASAVARAJ S K CHINTUSHEKAR R DEVRAJ RAMPOOR MEGHANA G S 2GP22EC014 2GP22EC015 2GP22EC017 2GP22EC025
- 2. INTRODUCTION • Vital signs, especially heart rate, are key indicators of cardiovascular health. • Traditional heart rate monitoring was limited to clinics, but advancements have enabled personal devices. • The paper proposes a prototype that allows real-time heart rate monitoring during physical activities, helping individuals maintain healthy lifestyles.
- 3. RELEVANCE OF WORK • Heart rate monitoring can reduce global mortality and economic loss by providing accessible health data. • This device provides real-time feedback on heart rate, essential for exercise intensity management. • A low-cost, low-power, and motion-resistant design fills the gaps left by previous heart rate monitoring devices .
- 4. PROBLEM STATEMENT Problem: Existing heart rate monitors are often complex, costly, and susceptible to motion artefacts. Objective: • To develop a simplified, robust, and cost-effective heart rate monitor using Arduino, designed for real-time monitoring during exercise. • The system provides alerts for heart rates exceeding 180 BPM using LEDs and a buzzer .
- 5. LITERATURE REVIEW 1. Existing Heart Rate Monitoring Solutions • Overview of systems like MAX30102 sensor and ECG-based monitors. 2. Challenges with Existing Solutions • Motion artifacts, power consumption, and cost issues. 3. Research Gaps • Need for simple, low-cost, and energy-efficient designs. 4. Proposed Solution Overview • Use of Arduino and HW827 Pulse Sensor for real-time monitoring.
- 6. PROPOSED METHODOLOGY Components Requirement 1.Arduino UNO • Acts as the central processing unit for the system. • Receives the analog signal from the pulse sensor and applies filtering and smoothing algorithms to ensure accurate heart rate measurements. • Calculates beats per minute (BPM) and compares it against a predefined threshold for alert activation. Figure1.1:Arduino UNO
- 7. 2.Heart Rate Pulse Sensor(HW 827) • Detects the heart rate by sensing blood flow variations in the body. • Sends analog signals representing the user's pulse to the Arduino for processing. • Provides reliable data even during movement, which is crucial for real-time monitoring, especially during exercise. Figure1.2:Heart rate Pulse Sensor(HW827)
- 8. • 3.F-F JUMPER WIRES • Used for easy and secure connections between components on the breadboard or directly with Arduino. 4.LCD Display • Displays the heart rate (BPM) to the user in real-time. • Provides visual feedback, displaying "GOOD" when BPM is normal and "BAD" when BPM exceeds a set threshold. Figure1.3:F-F jumper wires Figure1.4:LCD Display
- 9. 5.I2C Interface • Used to connect the LCD to the Arduino with fewer pins. • Simplifies wiring by reducing the number of connections required. 6.9V Battery Provides power to the Arduino and components for portable use.Ensures the device is usable in various locations without needing a power outlet. Figure1.5:I2C Interface Figure1.6:9V Battery
- 10. 7.9V Battery Snap with DC Jack • Connects the 9V battery to the Arduino securely. • Allows for easy battery replacement and stable power supply to the circuit. Figure1.7:9V Battery Snap with DC Jack
- 11. Block diagram of heart rate monitoring system 1.The pulse sensor connects to an Arduino Uno, which processes and filters the signals for better accuracy. 2. The Arduino calculates the heart rate (BPM) and sends this data to an output stage. 3. The output stage has an LCD to display the BPM and an alarm system for alerts. 4. If the BPM exceeds 180, a buzzer and LED alert the user. Figure1.8:Block diagram
- 12. BIBLIOGRAPHY • P. Shruthi and R. Resmi, "Heart rate monitoring using pulse oximetry and development of fitness application," in 2019 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT), 2019, vol. 1: IEEE, pp. 1568-1570. • D. I. Putra, D. Suarmin, and S. Ekariani, “Fatigue Warning System During Physical Exercise Based on Heart Rate and Oxygen Saturation Using Non-invasive Wearable Sensor”. • M. Nived, S. Nithin, S. Sridevi, and S. Mohandass, "An ECG based Arrhythmia Detector with an emergency alert system," in 2021 Second International Conference on Electronics and Sustainable Communication Systems (ICESC), 2021: IEEE, pp. 559-564.
- 13. PROJECT ASSOCIATES NAME:BASAVARAJ S K USN:2GP22EC014 E-mail:[email protected] NAME:CHINTUSHEKAR R USN:2GP22EC015 E-mail:[email protected] NAME:DEVRAJ RAMPOOR USN:2GP22EC017 E-mail:[email protected] NAME:MEGHANA G S USN:2GP22EC025 E-mail:[email protected]
- 14. THANK YOU