IOT based Respiration Measurement system for COVID Patients

Project Title

IOT based Respiration Measurement system for COVID Patients

Project Area of Specialization Internet of ThingsProject Summary

Bioimedical pilot projects e.g., telemedicine, homecare, animal and human trials usually involve several physiological measurements. Technical development of these projects is time consuming and in particular costly. A versatile but affordable biosignal measurement platform can help to reduce time and risk while keeping the focus on the important goal and making an efficient use of resources. In this project, an affordable and open source platform for development of physiological signals is proposed.

Project Objectives

• To develop an IoT based Respiration Measurement System for COVID patients.
• To design an intelligent biosignal measurement platform capable to diagnose patient’s critical state and generate alerts accordingly.
• To develop a compact, affordable, and medically safe measurements systems.

Project Implementation Method

Wearable systems for patients’ remote monitoring consist of three main building blocks: 1) the sensing and data collection hardware to collect physiological and movement data, 2) the communication hardware and software to relay data to a remote center, and 3) the data analysis techniques to extract clinically-relevant information from physiological and movement data. Recent advances in sensor technology, microelectronics, telecommunication, and data analysis techniques have enabled the development and deployment of wearable systems for patients’ remote monitoring.

Embedded sensors provide one with the capability of recording electrocardiographic data (ECG) using different electrode configurations as well as electromyographic (EMG) data. Additional sensors allow one to record thoracic and abdominal signals associated with respiration and movement data related to stretching of the garment with shoulder movements.

Benefits of the Project

Physiological measures of interest in rehabilitation include heart rate, respiratory rate, blood pressure, blood oxygen saturation, and muscle activity. Parameters extracted from such measures can provide indicators of health status and have tremendous diagnostic value. Until recently, continuous monitoring of physiological parameters was possible only in the hospital setting. But today, with developments in the field of wearable technology, the possibility of accurate, continuous, real-time monitoring of physiological signals is a reality.

The Android based mobile application allows low power ECG sensors to communicate wirelessly with the phone. With increasing computational and storage capacity and ubiquitous connectivity, smart phones are expected to truly enable continuous health monitoring.

Technical Details of Final Deliverable

• Android OS Application Software
• Cloud/Server Based Application
• System Hardware

Final Deliverable of the Project HW/SW integrated systemCore Industry MedicalOther Industries IT , Health , Telecommunication Core Technology Internet of Things (IoT)Other Technologies Artificial Intelligence(AI), Cloud Infrastructure, Wearables and ImplantablesSustainable Development Goals Good Health and Well-Being for People, Decent Work and Economic Growth, Industry, Innovation and InfrastructureRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	79500
Raspberry Pi Module	Equipment	2	9000	18000
Project Casing	Equipment	2	850	1700
Raspberry Pi Power Adapter	Equipment	2	700	1400
GPRS Data Module	Equipment	2	4000	8000
Respiration Sensor	Equipment	4	4500	18000
Bluetooth Module	Equipment	3	3000	9000
Project Casing	Equipment	1	5000	5000
PCB Fabrication	Equipment	3	2800	8400
Overheads / Printing	Miscellaneous	1	5000	5000
Stationary / Wood Work	Miscellaneous	1	5000	5000