IIT Kharagpur invented an automatic supplemental oxygen therapy device for treating COVID-19 and COPD patients at home

A team of researchers and doctor from IIT Kharagpur has devised an automatic oxygen therapy system as home solution for the patients with respiratory dysfunction including Covid infected patients.

Indian Institute of Technology Kharagpur has developed an Android application based a new medical device named “Senflex: Oxigenio”, for providing supplemental oxygen therapy to the COVID-19 patients at home.

The system comprises of an electronic flow controller, a pulse oximeter and an Android app. The device would also be suitable for the patients with any other respiratory dysfunction, requiring long term oxygen therapy (LTOT), such as patients diagnosed with Chronic Obstructive Pulmonary disease (COPD), Asthma etc.

The use of supplemental oxygen is an essential requirement to the patients affected in COVID-19 as the disease predominantly affects the pulmonary system leading to hypoxemia for most of the patients. Although oxygen therapy is lifesaving, it may be associated with deleterious effects when administered for prolonged periods at high concentrations.

It has become necessary to maintain the prescribed oxygen flow rate per minute as per the physicians’ advice. This essentially depends upon the oxygen saturation levels and other physical conditions of the patient. Keeping this in mind, we have developed an automatic oxygen therapy device that controls the oxygen flow rate automatically as per the oxygen saturation level (SPO2) of the patient in a specific time”, said Prof Dipak Kumar Goswami, the lead researcher and the Professor of the Department of Physics at IIT Kharagpur.

At Organic Electronics Laboratory (ORELA), Department of Physics, IIT Kharagpur, along with Prof. Goswami and his research team (SenFlex), Tanmay Ghoshal from the Department of Electronics and Electrical Communication Engineering, Pranab Lodh and Suman Mitra, both from the School of Nanoscience and Technology as well as Dr Mousam Manna from B C Roy Technology Hospital, developed  an algorithm to decide the oxygen flow rate, based on the data collected from the history of oxygen use by the COVID-19 patients, who were under oxygen support during their treatment.

“The system has the flexibility for the physicians to decide the initial parameters as per the current patient conditions including any co-morbidity if any, or patients with COPD or Asthma to start the automatic flow of oxygen”, added Dr Mousam Manna.

 The flow controller is connected wirelessly to an android app through a Bluetooth connection for remote monitoring and control. The system can be switched to manual operation at any point of time from automatic mode, where the flow rate can be altered manually. The researchers have filled a patent for the innovation.

Media contact: Prof. Dipak Kumar Goswami, Professor, Department of Physics, IIT Kharagpur

Email:  dipak@phy.iitkgp.ac.in,  Ph no.: +91-3222-283818

 

Contact: Paramita Dey, Junior Assistant

Email: media@iitkgp.ac.in, Ph. No.: +91-3222-282004

 

New AI Diagnostics for Lung Diseases

AI and IoT based Diagnostic Device for Chronic Obstructive Pulmonary Diseases developed by IIT Kharagpur

Chronic Obstructive Pulmonary Disease (COPD) is a common chronic respiratory disease caused by exposure to harmful gases and particulate matters, with a high health burden on the country’s healthcare services and society. For long, the medical community has been depending on patient history and clinical symptoms for disease diagnosis, which often prevents early detection of the disease and advancing of the disease adds to the medical bill through frequent hospitalizations. 

Researchers at IIT Kharagpur have developed an affordable diagnostic intervention for Chronic Obstructive Pulmonary Disease based on the internet-of-things medical devices (IoT-MD) integrated with AI. [Download Journal Paper]

At the Organic Electronics Laboratory (ORELA), Department of Physics, IIT Kharagpur, Prof. Dipak Kumar Goswami and his research team have developed SenFlex.T, a smart mask synced with an android monitoring app through Bluetooth, that can continuously monitor breathing patterns, rate, heart rate, oxygen saturation level in blood. The app is connected to a cloud computing server, where artificial intelligence (AI) has been implemented to predict the severity of COPD through machine learning (ML). 

“SenFlex.T can be used at home by patients without having to visit diagnostic centres as against the current practice. This will also address the critical issue of addressing COPD at an early stage and by means of advanced healthcare technology, a boon for both patients and the overall healthcare system,” explained Prof. Goswami. 

Chronic Obstructive Pulmonary Disease has been a top cause of death, second to only deaths due to heart diseases. In 2017 it claimed about 1 million lives in India. In October 2019, health experts, at a medical convention, confirmed that COPD claims more lives than AIDS, TB, Malaria, Diabetes all put together. The threat from COPD has become more acute under the COVID situation, with increased comorbidity rates. A recent survey confirmed that the severity and mortality rates among COPD patients to be affected by the COVID-19 virus are over 63%. Moreover, the patients affected in the COVID-19 virus, which is right now over 4 million people in India and 27 million in the world, are more susceptible to build up various lung disorder-related diseases like COPD, Asthma etc. 

“It was crucial for health-tech researchers to develop a diagnostic intervention for Chronic Obstructive Pulmonary Disease. Spirometry, the gold standard test to diagnose obstructive airway diseases like asthma and COPD, is often avoided due to the unavailability of the equipment, difficulty in data interpretation and the cost of the tests. This challenge and the criticality strongly motivated us to develop an AI-based system, that can overcome the problem of interpreting the results and be accessible not only for the doctors but also for the patients,” said Prof. Goswami. 

SenFlex.T smart mask contains a highly sensitive, flexible temperature sensor along with a Bluetooth based measuring electronics. The sensor system can continuously monitor the temperature changes of inhaled and exhaled air during breathing and record the breathing pattern. The temperature sensor has a resolution of 4.3 mK and about 25 ms response time. Further, a commercially available pulse oximeter has been integrated with the sensor system to monitor the oxygen saturation level during breathing.

The patient data is uploaded automatically to the cloud server through the mobile app (SenFlex), where it is processed by means of AIML, and reports made available on the app and for doctors’ consultation. 

The innovation has been reported in the international journal ACS Applied Materials & Interfaces [Download Paper]. The researchers have also filed a patent for the innovation and are ready for commercialization. The product cost has been estimated at about ₹ 2,500/-.

Cite Paper:  ACS Appl. Mater. Interfaces 2019, 11, 4, 4193–4202
Publication Date:December 31, 2018
https://doi.org/10.1021/acsami.8b19051


Media Coverage:

Project Information: Prof. Dipak Goswami, dipak@phy.iitkgp.ac.in

Institute Information: Prof. B N Singh, Registrar, registrar@hijli.iitkgp.ac.in;

Media Outreach: Shreyoshi Ghosh, shreyoshi@adm.iitkgp.ac.in

Follow us on: Twitter – @IITKgp  Instagram – @iit.kgp   Facebook – @IIT.Kgp