IIT Madras Develops Remote Patient Monitoring Solutions for Covid-19

The Indian Institute of Technology Madras [IIT Madras] has united with HELYXON, a healthcare start-up to design a device that helps in monitoring COVID-19 patients remotely. The device keeps a track of 4 vital parameters of the patient that include temperature, respiratory rate, oxygen saturation, and heart rate. IIT Madras announced this news through an official statement.

In the statement, the institute said that it is a self-contained, wireless, and portable device that can be carried anywhere. All you need to do is to clip this device on to the finger of a patient. Once it is clipped, it is possible to get essential data through a mobile phone or a central monitoring system. The temperature of the patient can be measured at the armpit. The oxygen level in blood, respiratory, and heart rate parameters can be measured at the patient’s finger.

IIT Madras Develops Remote Patient Monitoring Solutions for Covid-19

The newly designed device is reusable and can be used for more than a year. Besides using this device for COVID-19, this device can also be used for patient management suffering from other health issues. Any hospital and doctor can use this device for keeping track of the patient’s health.

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In an official statement, the IIT Madras official said, ‘The device has already reached over 2,000 patients in public and private hospitals, and at homes, with another 5,000 devices in the pipeline. Production is being scaled up to meet the growing demand. The cost of the device ranges from Rs. 2,500 to 10,000 depending on the configuration and parameters.’

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Prof Mohanasankar Sivaprakasam, the Faculty and Head of Healthcare Technology Innovation Centre [HTIC] at IIT Madras described the development procedure of this device. He said, ‘There are several attempts to reposition consumer-type devices like wristbands and wearables as medical devices. But doctors and hospitals are clear that they can only accept devices with accuracy on par with dedicated patient monitors since these are a patient’s vital physiological parameters. It was a big learning and critical input for us.’

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