• Batna Mani Priya
• A. Syam Kumar
• K. Mounica
• B. Hari Krishna

In this manuscript, we present a cutting-edge textile innovation called E-Textile for remote medical diagnosis of COVID-19 and OLD patients. Timely health surveillance is critical for COVID-19 and OLD patients to prevent health deterioration. Traditional medical care monitoring systems necessitate manual input from patients to commence monitoring, posing challenges during nocturnal periods. As an illustration, monitoring oxygen saturation levels during sleep is arduous. Additionally, there is a pressing need for a system to monitor their health condition as various vital signs may be affected, and complications may arise even after recovery. E-Textile capitalizes on these challenges to offer health monitoring for COVID-19 and OLD patients based on the pressure applied to the fabric. The operational mechanism unfolds in three phases: 1) Detecting the patient pressure applied on E-Textile, 2) Classifying data into segments(normal and abnormal) based on variations, and 3) The individual record is conveyed to their caretaker. Experimental findings underscore the effectiveness of e-textiles in patient health monitoring. E-Textile adeptly categorizes a patient’s condition with a precision of 99.3% and consumes 17.5W of power. Furthermore, the monitoring delay with E-textile is minimal at 2s, making it suitable for clinical deployment.

Intelligent textile, distant observation, COVID-19, Detectors, Machine Learning

"E-Textile: Affordable Textile Fabric Sensor For Remote Health Surveillance Of Solitary Patients", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.e624-e633, April-2024, Available :http://www.jetir.org/papers/JETIR2404468.pdf

"E-Textile: Affordable Textile Fabric Sensor For Remote Health Surveillance Of Solitary Patients", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppe624-e633, April-2024, Available at : http://www.jetir.org/papers/JETIR2404468.pdf