i-Sheet: A Low-Cost Bedsheet Sensor for Remote Diagnosis of Isolated Individuals

In this paper, we propose a smart bedsheet –i-Sheet–for remotely monitoring the health of the COVID-19 patients. Typically, real-time health monitoring is very crucial for COVID-19 patients to prevent their health from deteriorating. Conventional healthcare monitoring systems are manual and require patient input to start monitoring health. However, it is difficult for the patients to give input in critical conditions as well as at night. For instance, if the oxygen saturation level decreases during sleep, then it is difficult to monitor. Further, there is a need for a system that monitors post-COVID effects as various vitals get affected, and there are chances of their failure even after the recovery. i-Sheet exploits these features and provides the health monitoring of the COVID-19 patients based on their pressure on the bedsheet. It works in three phases: 1. sensing the pressure exerted by the patient on the bedsheet, 2. categorizing the data into groups (comfortable, uncomfortable) based on the fluctuations in the data, and 3. alerting the caretaker about the condition of the patient. Experimental results demonstrate the effectiveness of i-Sheet in monitoring the health of the patient. i-Sheet effectively categorizes the condition of the patient with the accuracy of 99.3% and utilizes 17.5 Watt of the power. Further, the delay involves in monitoring the health of patients using i-Sheet is 2 secs which is very diminutive and is acceptable. IEEE