Stress monitoring system using fuzzy logic

 SUMMARY: Online telemedicine systems are useful due to the possibility of timely and efficient healthcare services. These systems are based on advanced wireless and wearable sensor technologies. The rapid growth in technology has remarkably enhanced the scope o

Project Title

Stress monitoring system using fuzzy logic

Project Area of Specialization

Electrical/Electronic Engineering

Project Summary

 SUMMARY:

Online telemedicine systems are useful due to the possibility of timely and efficient healthcare services. These systems are based on advanced wireless and wearable sensor technologies. The rapid growth in technology has remarkably enhanced the scope of remote health monitoring systems. In this project, a stress monitoring system is developed considering the cost, ease of application, accuracy, and data security. The system is used to provide an interface between the doctor and the patients for two-way communication. The main purpose of this study is to facilitate the remote  patients in getting latest healthcare services which might not be possible due to low doctor-to-patient ratio. The developed monitoring system is then evaluated using wearable sensors while holding a raspberry pie . The performance analysis shows that the proposed system is reliable and helpful. The project showed that the proposed system is convenient and reliable and ensures data security at low cost. In addition, the developed system is equipped to generate warning messages to the doctor and patient under critical circumstances.

Project Objectives

This project  is helpful to detect stress using Arduino . The device makes use of human physiological signals measured with the help of various electronic sensors, along with a fuzzy logic decision-making system to calculate the stress levels accurately.

But even after a lot of time, money, and research in the advancements of medical science, many people are still deprived of basic healthcare .This paper proposes a system using GSM and GPS based remote physiological signals monitoring and stress classification system in real time.  The proposed system will not only overcome the problem of remote monitoring, but also reduce the shortage of patient to doctor ratio.

OBJECTIVES:

The objectives of the project are:

• To study fuzzy logic algorithm and implement it.

• To interface electronic sensors with Arduino Mega board.

• To measure physiological signals accurately using sensors.

• To develop a hardware of human stress detection.

• To test the hardware and collect the data.

Project Implementation Method

METHODOLOGY:

This section covers three different aspects. First of all, the sensors  involved in the project are described and justified. Afterwards, we collected the data from the sensors. Understand the theorem of fuzzy logic and try to implement it on MATLAB.

SENSORS:

We work on four sensors to detect stress. 

• TEMPERATURE SENSOR:

Temperature sensor is used to measure the body temperature of a person whether the temperature is high, low or moderate. We use LM35 for temperature measurement.

• PULSE RATE:

The second sensor we use is pulse sensor which is used to measure beats per minute (BPM). We use this sensor to detect stress because when we are in stress the pulse rate becomes high.

• GALVANIC SKIN RESPONSE (GSR):

Galvanic Skin Response (GSR), known also as electrodermal activity (EDA), is an indicator of skin conductance. More in detail, glands in the skin produce ionic sweat, provoking alterations on electric conductivity. 

• ECG sensor:

Features:

• Operating Voltage - 3.3V

• Analog Output

• Leads-Off Detection

• 3.5mm Jack for Biomedical Pad Connection

The AD8232 Single Lead Heart Rate Monitor is used to measure the electrical activity of the heart. This electrical activity can be charted as an ECG or Electrocardiogram and output as an analog reading.

Circuit Diagram/Connection between Arduino and ECG Sensor AD8232:

The AD8232 Heart Rate Monitor breaks out nine connections from the IC. We traditionally call these connections “pins” because they come from the pins on the IC, but they are actually holes that you can solder wires or header pins to.

FUZZY LOGIC:

It has been proven that fuzzy logic has more efficient results and precise outcomes. Fuzzy logic system is much closer to human thinking and natural language than traditional logical systems. Fuzzification, defuzzification strategies and fuzzy control rules are used in Fuzzy reasoning mechanism. Hence, fuzzy logic is definitely more useful and accurate. The first step in designing Fuzzy Logic System is to describe fuzzy sets - a set with non-sharp boundaries. The fuzzy membership function is used to assign values with respect to fuzzy sets and its degrees of membership. Moreover, the most commonly used technique requiring two parameters to be specified with respect to its x and y coordinates is called Gaussian Membership Function. Also, the Triangular Membership Function can be used in the system which requires three parameter specifications.

BOARD LABEL 

GND

3.3 VOLT

OUTPUT

LO-

LO+

SDN

Benefits of the Project

BENEFITS:

• Real time monitoring of the patient is

possible.

• The doctor does not need to visit the

patient to monitor him/her.

• Time is saved for both patients and

doctor.

• Helpful in emergency period.

• Routine checking of the patient can be

done easily.

• Useful for remote areas.

• Once installed, the maintenance cost is

very low.

• Easy to use (Even illiterate people can

operate it).

• Increases access to health care while

decreasing the healthcare delivery

costs The device utilizes a GSM module to

send the data in the form of SMS to a

mobile device for better portability of

the system.

• The device has a functionality of

showing both the time and date of the

measured data.

Technical Details of Final Deliverable

DELIVERABLES:

 Here the main objective is to design a Remote Patient Health Monitoring System to diagnose the health condition of the patients. Giving care and health assistance to the patients at critical stages with advanced medical facilities have become one of the major problems in the modern hectic world. In hospitals where many patients whose physical conditions must be monitored frequently as a part of a diagnostic procedure, the need for a cost-effective and fast responding alert mechanism is inevitable. Proper implementation of such systems can provide timely warnings to the medical staffs and doctors and their service can be activated in case of medical emergencies. Present-day systems use sensors that are hardwired to a PC next to the bed. The use of sensors detects the conditions of the patient and the data is collected and transferred using a microcontroller. Doctors and nurses need to visit the patient frequently to examine his/her current condition. Using the proposed system, data can be sent wirelessly to the Patient Monitoring System, allowing continuous monitoring of the patient. Contributing accuracy in measurements and providing security in proper alert mechanism give this system a higher level of customer satisfaction and low-cost implementation in hospitals. Thus, the patient can engage in his daily activities in a comfortable atmosphere where distractions of hardwired sensors are not present. Physiological monitoring hardware can be easily implemented using simple interfaces of the sensors with a Microcontroller and can effectively be used for healthcare monitoring. This will allow development of such low-cost devices based on natural human-computer interfaces. 

                Thus, remote monitoring and control refer to a field of industrial automation that is entering a new era with the development of wireless sensing devices. The Internet of Things (IoT) platform offers a promising technology to achieve the healthcare services, and can further improve the medical service systems. IoT wearable platforms can be used to collect the needed information of the user and  and communicate such information wirelessly, where it is processed or stored for tracking the history of the user. Such a connectivity with external devices and services will allow for taking preventive measure (e.g., upon foreseeing an upcoming heart stroke) or provide immediate care.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Telecommunication

Other Industries

Telecommunication

Core Technology

Internet of Things (IoT)

Other Technologies

Internet of Things (IoT)

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com