Design of ultra-flexible skin-like AI augmented sensor fusion for human wearable monitoring of Osteoarthritis

Project Title

Design of ultra-flexible skin-like AI augmented sensor fusion for human wearable monitoring of Osteoarthritis

Project Area of Specialization Electrical/Electronic EngineeringProject Summary

This project is all about the design of ultra-flexible skin-like AI (Artificial Intelligence) augmented sensor fusion for human wearable monitoring of osteoarthritis. This design will be based on the Electronic surface, a customizable wearable sensor that can act like human skin. In this project, we will design an Optical Strain sensor-using graphene, which will add to the novelty of our project. Previously Strain sensors have been made using carbon nano-materials consisting of carbon-based nano-fiber, carbon nanotubes, graphite, and carbon black nanoparticles. Although these materials provide good sensitivity, elasticity, durability, flexibility, and response time but also make the material quite expensive, on the other hand, graphene is quite economical with all the above characteristics. This Optical strain sensor consists of LED and LDR and will work on the phenomena of change in resistance of LDR with change in illumination. This sensor will be beneficial for the biomedical and health monitoring industry since it will detect osteoarthritis and we aimed to incorporate an AI (Artificial Intelligence) model to make our prototype more intelligent and easy to detect with greater accuracy. Lastly, for storage and easy access to real-time monitored data by our designed sensor, we aim to work on app development.

Project Objectives

1. To design, model and fabricate novel flexible photo-strain sensors.

2. To develop an AI model to diagnose osteoarthritis using sensors’ feedback data.

3. To develop a user-friendly mobile app for monitoring the activities and capable of showing different stages of healthiness.

Project Implementation Method

We will fabricate an ultra-flexible photo-sensor using a simple and reproducible method of molding and curing. To increase the sensitivity of the sensor we will sprinkle graphene powder on our ecoflex-0030. Furthermore, to add to the novelty of our sensor, instead of fabricating separate packages for LED and LDR we will embed both LED and LDR on our sensor. Our sensor will be used to diagnose osteoarthritis which affects millions of people around the globe. Osteoarthritis is a joint disorder in which protective cartilage at the end of the bones wears out over time restricting the movement of the affected joint. Not only this we will also implement an AI classification model for automatic detection of the diseases using the mobile application which will provide users with an easy understanding of real-time monitored data by the sensor with the help of GUI (graphical user interface).

Benefits of the Project

1. Novel and economical sensors, since we are using graphene, which has not been used yet, will introduce novelty in the field of the optical ultra-flexible sensor.

2.  Useful in human health monitoring and the biomedical industry for the detection of diseases like osteoarthritis in addition to portability.

3. More efficient, sensitive, and flexible with a quick response due to the novel material graphene we will use with incorporated AI (Artificial intelligence) which will make our sensor more accurate and intelligent.

4. Easy understanding of real-time monitored data by the sensor with the help of GUI (graphical user interface) provided by the app.

Technical Details of Final Deliverable

Performance Parameters	sensitivity	stability	flexibility	Response	Gauge factor
values	Highly sensitive	Up to 5000 cycles	Ultra-flexible skin like	0 to 150% Up to 5hz strain	8.6

Performance Parameters

values

Final Deliverable of the Project HW/SW integrated systemCore Industry HealthOther Industries Medical Core Technology Wearables and ImplantablesOther Technologies Artificial Intelligence(AI)Sustainable Development Goals Good Health and Well-Being for People, Decent Work and Economic GrowthRequired Resources

Elapsed time in (days or weeks or month or quarter) since start of the project	Milestone	Deliverable
Month 1	Literature Review	Soft
Month 2	Literature Review	Soft
Month 3	Analysis of Proposed Scheme	Soft
Month 4	Analysis of Proposed Scheme	Soft
Month 5	Preparation of Schemes / Model	Soft & Hardware
Month 6	Preparation of Schemes / Model	Soft & Hardware
Month 7	Preparation of Schemes / Model & Implementation of Schemes/Model	Soft & Hardware
Month 8	Implementation of Schemes/Model	Hardware
Month 9	Implementation of Schemes/Model	Hardware
Month 10	Implementation of Schemes/Model & Analysis & Simulation	Hardware
Month 11	Analysis & Simulation & Final Write-up & Thesis Submission	Soft & Hardware
Month 12	Final Write-up & Thesis Submission	Printed Thesis Copies