Elderly monitoring System using smart watch

We will develop the Elderly Monitoring System which uses the Artificial Intelligence concepts and Sensor Technology to Monitor the Health Measures and Daily variations in Elder Person?s Health with the changing environment. The Developed System will record the Data and Proceed it to Doctor? Clinic.

Project Title

Elderly monitoring System using smart watch

Project Area of Specialization

Internet of Things

Project Summary

With the Advancement of technology, especially in Computer Science Concepts, One of the concepts, Ambient Assistive Living AAL (term used to describe unobtrusive monitoring and support for elderly people to allow them to live as independently as possible), is now most discussed Worldwide.

We will develop the Elderly Monitoring System which uses the Artificial Intelligence concepts and Sensor Technology to Monitor the Health Measures and Daily variations in Elder Person’s Health with the changing environment. The Developed System will record the Data and Proceed it to Doctor’ Clinic. Reports will be generated for the processing activity and it will send to patient’s doctor and other parties that provide healthcare (e.g., hospital) with respect to the privacy and authentication of the data.

Project Objectives

• The proposed system can store the data on the cloud storage.
• This portable device is convinient to the patients and allowing doctor/user monitors them using handset.
• The system offer an accurate data collection, fast/easy access to the patient’s data and reasonable in cost.
• Users/doctor can monitor the datas through smartphone.

Project Implementation Method

The prototype development of the proposed health monitoring system consists of several sections. These include sensor accessories, microcontrollers, power supplies, LCD screens, push buttons and smartphones along with ThingSpeak servers. All sensors are installed neatly and conveniently on the limbs of the user. The total size of the product is 8 cm × 5 cm × 5 cm, lightweight, stable, clearly labeled and portable. This size allows the components to be inserted and works well. The LCD screen is positioned so that the user can easily read the measured readings. Users can use a 5V battery or a direct connection to an external power supply. When the button at the prototype is pressed by the user, the sensor will start measure the patient body temperature, breathing and heart rate to determine their health overall status. Subsequently, the readings from the sensor are then displayed on the LCD screen. Next, the system will send these data to the storage server (cloud). Users can monitor their loved ones using their smartphones through ThinkSpeak. 

Benefits of the Project

The prototype proposed in this work have successfully measured and displayed the temperature, pulse and respiratory readings on LCD and smartphones. The results indicate that the readings obtained are accurate because they have been validated. Thus, these innovations can help doctors monitor their patients remotely while other users can better monitor their parent’s health. This innovation has also resulted in a product that can measure three parameters at a time in real time. The proposed work paves the way for elderly patients monitoring system from long-haul distance with low cost and high efficiency.

Technical Details of Final Deliverable

The IoT-based patient monitoring system developed in this research work consists of hardware, software and IoT parts. The hardware components include sensors, power supplies, LCD screens, nodeMCU as microcontrollers and smartphones. Three sensors, namely the temperature sensor, pulse rate and respiratory sensor, are connected to the nodeMCU. The temperature sensor basically provides 9-bit Celsius body temperature measurements. It communicates over wires that requires one data line and ground for communication with the central microprocessor. It can develop the power directly from the data line eliminating the need for external power supply. Pulse rate is a human heart-rate sensor for nodeMCU. It is used to measure live heartrate human with an open-source monitoring app that graphs the pulse in real time. Respiratory sensor is a real-time sensor for human respiratory rate that can be connected to nodeMCU. nodeMCU functions as the brain of the system to control and execute commands until the data from the sensors can be sent to the cloud. Sensors measure the patient heart rate, take readings of the patient body temperature and respiratory rate. ThingSpeak is used as a cloud server to store and display all data in real time. It is compatible for any IoT-based project and can be used to aggregate, visualize, and analyse live data in the cloud. When the push button is defined, the microcontroller sends data from the sensor to the LCD screen and ThingSpeak for display processing.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Health

Other Industries

Core Technology

Internet of Things (IoT)

Other Technologies

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

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