Abstract

The objective of this document is to describe the design and implementation of an intelligent biomedical system. The system consists of an array of multiple sensors. The sensors are connected to the Arduino Uno device to allow data capture and processing. The captured signals from the sensors are then digitized by the microcontroller. The data from the microcontroller are accessible via two different portals: the LCD display and the LabVIEW graphical user interface. The microcontroller is also equipped with a GSM module to send the alert message to the user upon occurrence of events that simulate abnormal activity in the biological parameters of the user.

Highlights

  • Intelligent systems are programmed to perform the intelligent management between the source and the controlling device

  • The sensors are connected to the Arduino Uno device to allow data capture and processing

  • The block diagram below shows the configuration of the Intelligent Bio-detector (Figure 2)

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Summary

Introduction

Intelligent systems are programmed to perform the intelligent management between the source and the controlling device. The transfer of data is usually two-way. Both source and controlling devices can transfer the data. The micro-controller requires the data in digital form. The analogue data are required to be converted into the digital data using a device known as the ADC, analog-to-digital converter. The design and analysis concepts within Control Engineering have applications in practically all areas of technology from micro-electronics, communications, and biomedical to the energy, food and chemical process industries. Ahmed 904 process monitoring, process optimization and control in applications, including biomedical, chemical process control and electrical power and energy systems

Intelligent Control
Advanced Process Control
Sustainable Energy
Goal and Objective
Block Diagram
Arduino UNO Microcontroller
Arduino IDE Kit
Pulse Sensor
TMP36 Temperature Sensor
EMG Sensor
4.10. LabVIEW
4.12. Testing
Implementation of Individual Components
Grove-Gas Sensor
Temperature Sensor
GSM Module
Full System Integration
LabVIEW Implementation
Arduino Implementation
Conclusion
Full Text
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