August 10, 2020

IIT-Madras startup raises Rs 22 crore funding for launching wrist band for detecting COVID signs



NEW DELHI: A wearable wrist tracker to detect COVID-19 signs at an early stage can be out there available in the market subsequent month with its developer, a IIT Madras incubated begin up, elevating a funding of Rs 22 crore for the aim.

Muse wearables“, the startup incubated at IIT Madras by an alumni group together with an NIT Warangal alumnus, is planning to launch the trackers in 70 nations.

The wrist-based tracker has sensors for pores and skin temperature, coronary heart price and SpO2 (blood oxygen saturation) which may constantly observe these physique vitals remotely to assist in early prognosis of COVID-19 signs.

The tracker can be Bluetooth-enabled and may be related to the cell phone through an app known as the Muse Well being App. The person vitals and exercise knowledge are saved within the cellphone in addition to a distant server. Administrative entry will also be supplied for centralized monitoring of individuals in containment areas for COVID-19 signs.

The tracker can get notifications from the Arogya Setu app and alert the person when she enters a COVID containment zone.

Customers can elevate an Emergency Alert (SOS) in case of any problem and the alert is raised when physique temperature is increased than the brink. The app additionally alerts folks when SpO2 ranges are too low or when the person is getting into right into a COVID containment space.

“We’re focusing on two lakh product gross sales this 12 months with plans to realize 10 lakh product gross sales by 2022 internationally. The buyers consider in our improvements and consider that we will create an enormous distinction within the client tech house and we now have been in a position to generate a funding of Rs 22 crore,” KLN Sai Prasanth, an IIT Madras alumni.

Priced at round Rs 3500, the brand new wearable product can be out there available in the market for shoppers throughout 70 nations by August.

Ok Prathyusha, an NIT Warangal graduate, mentioned, “Our predominant goal with this product is to facilitate identification of sufferers who’ve COVID pneumonia sooner in order that they are often handled extra successfully.”

“We now have developed algorithms to estimate physique temperature from pores and skin and ambient temperature, coronary heart price and movement sensing.

“With steady temperature and SpO2 monitoring, we can detect silent hypoxia (an early symptom of coronavirus an infection even in asymptomatic sufferers) at an early stage. This will even assist most of the people for proactive well being monitoring together with health monitoring and sleep monitoring,”