Downloaded 746 times
![References [1] M. M. A. Hashem, R. Shams, Md. A. Kader and A. Sayed, “Design and development of a heart rate measuring device using fingertip,” 3rd IEEE International Conference on Computer and Communication Engineering (ICCCE'10), Kuala Lumpur, Malaysia, May 11-12, 2010. [2] R. G. Landaeta, O. Casas, and R.P. Areny, “Heart rate detection from plantar bioimpedance measurements”, 28th IEEE EMBS Annual International Conference, USA, 2006, pp. 5113- 5116. [3] M. Navale, S. Damare, R. Chavan, R. Dube, and S. Patil “Android Based Heart Monitoring and Reporting System”, International Journal of Advanced Research in Computer and Communication Engineering Vol. 3, Issue5, May 2014 [4] N. Indumathy and K. K. Patil “Medical Alert System for Remote Health Monitoring Using Sensors and Cloud Computing” International Journal of Research in Engineering and Technology, vol. 3, no. 04, pp. 884-888, 2014.](https://image.slidesharecdn.com/continuousheartrateandbodytemperaturemonitoringsystemusingarduinounoandandroiddevice-160302093457/75/Continuous-heart-rate-and-body-temperature-monitoring-system-using-arduino-uno-and-android-device-21-2048.jpg)
Uploaded byEngr. Md. Siddiqur Rahman Tanveer
Continuous heart rate and body temperature monitoring system using arduino uno and android device
The document presents a continuous heart rate and body temperature monitoring system that utilizes Arduino and an Android device, aimed at providing doctors with real-time patient data remotely. The system employs an optical sensor for heart rate measurement and an LM35 sensor for body temperature, with data transmitted via Bluetooth to an Android application. Future enhancements include data storage, centralized patient health monitoring, and implementation within IoT frameworks.
In this document
Powered by AI
Presentation of a heart rate and body temperature monitoring system using Arduino and Android.
Overview of the presentation components including motivation, objectives, system design and results.
Need for continuous monitoring of heart rate and body temperature for effective patient care.
Comparison of manual and electronic systems for heart rate and temperature monitoring.
Key objectives including measurement of heart rate and body temperature, and continuous display.
Visual representation of the system's design to monitor heart rate and body temperature.
Details on tools used for system development including Arduino and Android programming environments.
Block diagram illustrating the functional components of the heart rate and temperature monitoring system.
Overview of TCRT5000 optical sensor used to detect heartbeats via infrared signal reflection.
Step-wise description of the pulse detection process and initial signal conditioning.
Continuation of the signal conditioning process for accurate heart rate reading.
Usage of LM35 temperature sensor for measuring body temperature with accuracy specifications.
Technical specifications of Arduino UNO, main processing unit for the monitoring system.
Processes for converting voltage readings from temperature sensor and calculating heart rate.
Utilization of HC-05 Bluetooth module to transfer processed data from Arduino to Android.
Overview of the complete implementation of the heart rate and temperature monitoring system.
Description of the Android application for displaying heart rate and body temperature data.
Comparison of actual vs. measured heart rate over a period of 20 minutes.
Comparison of actual vs. measured body temperature over a period of 20 minutes.
Plans for improving patient data storage, remote monitoring, and implementing IoT capabilities.
List of cited academic works that informed the development of the presented monitoring system.
End of the presentation with a thank you note.
Continuous heart rate and body temperature monitoring system using arduino uno and android device
- 1. “ ” Continuous Heart Rateand Body Temperature Monitoring System using Arduino UNO and Android Device 2nd International Conference on EICT, KUET December 10-12, 2015 Department of Computer Science Engineering Khulna University of Engineering & Technology (KUET) Co-Authors: Md. Asaduzzaman Miah, Mir Hussain Kabir and M. A. H. Akhand Presented by Md. Siddiqur Rahman Tanveer
- 2. OUTLINE MOTIVATION OBJECTIVES PROPOSED SYSTEM DIAGRAM FUNCTIONAL BLOCK DIAGRAM HEART BEAT SENSING MECHANISM BODY TEMPERATURE SENSING IMPLEMENTED SYSTEM EXPERIMENTAL RESULTS REFERENCES
- 3. Motivation Heart rateindicates the soundness of our heart Heart rate helps assessing the condition of cardiovascular system It is not possible for a doctor to observe a patient’s heart rate per minute and body temperature all the time Again a doctor far way from the patient need to know heartrate and body temperature for initial treatment An embedded system which can measure the heart rate and body temperature and store the data for the doctor to know the condition of the patient can help for this purpose
- 4. Existing Systems Manual System Electronic sphygmomanometer BasisB1 Smart Phone (Android & iOS)
- 5. Objectives The major objectivesof our developed system are listed below: To measure heart rate To measure body temperature Continuously display the result in Android device To observe the patient’s health condition continuously
- 6.
- 7. System Development Tool Arduino Programming 1. arduino-1.0.5-r2-windows (IDE) 2. C++ Android Programming 1. Eclipse v21.0.1-543035 (ADT) 2. Java
- 8.
- 9. TCRT5000 Optical SensorFor The sensor used in this system is TCRT5000 which is a reflective optical sensor. It consists of an infrared LED that transmits an IR signal through the fingertip of the subject, a part of which is reflected by the blood cells. The reflected signal is detected by a photo diode sensor. By sensing the change in blood volume in a finger artery while the heart is pumping the blood. Heart Beat Sensing Mechanism
- 10. Heart Beat SensingMechanism STEP1: Pulse Detection STEP2: First Stage Signal Conditioning
- 11. Heart Beat SensingMechanism (Cont..) STEP3: Second Stage Signal Conditioning
- 12. Body Temperature Sensing UsingLM35 Temperature Sensor Features Calibrated Directly in Celsius (Centigrade) Linear + 10-mV/°C Scale Factor 0.5°C Ensured Accuracy (at 25°C) Rated for Full −55°C to 150°C Range Suitable for Remote Applications
- 13. Arduino UNO The Unois a microcontroller board based on the ATmega328P which is our main processing unit of the system Microcontroller ATmega328P Digital I/O Pins 14 (among 6 provide PWM output) Flash Memory 32 KB (ATmega328P) SRAM 2 KB (ATmega328P) EEPROM 1 KB (ATmega328P) Clock Speed 16 MHz Technical specification
- 14. Processing Data ThroughArduino UNO Body Temperature Calculation Voltage to Temperature conversion: Temperature in degree Celsius, Temp = Output voltage * 0.48828125 Celsius degree to Fahrenheit degree conversion : tempf=(Temp*1.8)+32 Heart Rate Calculation: sum = 𝒊=𝟏 𝟑𝟎 FreqMeasure.read() frequency = F_CPU / (sum / 30) BPM=frequency * 60
- 15. Transferring Arduino UNOProcessed Data to Android Device via Bluetooth The HC-05 module communicates with the Arduino via a serial connection and transfers data to the connected Android device. HC-05 Bluetooth Module
- 16.
- 17. Heartmate Android Application Thisis the simple Android application: Runs on Android API 17 and more Shows heart beat rate Shows body temperature
- 18. Experimental Results Figure 1.Actual vs. Measured Heart rate measured for 20 minutes
- 19. Experimental Results (Cont..) Figure2. Actual vs. Measured Body Temperature for 20 minutes
- 20. Future Work Storepatient’s heart rate and body temperature in Android device provided SQLite Database system Implement continuous patient health care monitoring system through centralized server in medical Implement the system at low cost Implement remote health monitoring system through “Internet of things (IoT)”
- 21. References [1] M. M.A. Hashem, R. Shams, Md. A. Kader and A. Sayed, “Design and development of a heart rate measuring device using fingertip,” 3rd IEEE International Conference on Computer and Communication Engineering (ICCCE'10), Kuala Lumpur, Malaysia, May 11-12, 2010. [2] R. G. Landaeta, O. Casas, and R.P. Areny, “Heart rate detection from plantar bioimpedance measurements”, 28th IEEE EMBS Annual International Conference, USA, 2006, pp. 5113- 5116. [3] M. Navale, S. Damare, R. Chavan, R. Dube, and S. Patil “Android Based Heart Monitoring and Reporting System”, International Journal of Advanced Research in Computer and Communication Engineering Vol. 3, Issue5, May 2014 [4] N. Indumathy and K. K. Patil “Medical Alert System for Remote Health Monitoring Using Sensors and Cloud Computing” International Journal of Research in Engineering and Technology, vol. 3, no. 04, pp. 884-888, 2014.
- 22.