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A wearable wrist tracker to detect COVID-19 signs at an early stage will be available in the market next month with its developer, a IIT Madras incubated begin up, elevating a funding of Rs 22 crore for the aim.
“Muse wearbales”, the beginning up incubated at IIT Madras by an alumni group together with an NIT Warangal alumnus, is planning to launch the trackers in 70 international locations.
The wrist-based tracker has sensors for pores and skin temperature, coronary heart charge and SpO2 (blood oxygen saturation) which may constantly monitor these physique vitals remotely to assist in early prognosis of COVID-19 signs.
The tracker will be Bluetooth-enabled and might be linked to the cell phone by way of an app referred to as the Muse Health App. The consumer vitals and exercise knowledge are saved in the cellphone in addition to a distant server. Administrative entry may 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 consumer when she enters a COVID containment zone. Users can elevate an Emergency Alert (SOS) in case of any issue 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 consumer is getting into right into a COVID containment space.
“We are targeting two lakh product sales this year with plans to achieve 10 lakh product sales by 2022 across the world. The investors believe in our innovations and believe that we can create a huge difference in the consumer tech space and we have been able 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 will be available in the market for customers throughout 70 international locations by August. Okay Prathyusha, an NIT Warangal graduate, stated, “Our main objective with this product is to facilitate identification of patients who have COVID pneumonia sooner so that they can be treated more effectively.” “We have developed algorithms to estimate body temperature from skin and ambient temperature, heart rate and motion sensing. “With continuous temperature and SpO2 monitoring, we will be able to detect silent hypoxia (an early symptom of coronavirus infection even in asymptomatic patients) at an early stage. This will also help the general public for proactive health monitoring along with fitness tracking and sleep tracking,” Prathyusha stated.
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