New Delhi, July 25
A wearable wrist tracker to detect COVID-19 signs at an early stage might be accessible out there subsequent month with its developer, an IIT Madras incubated start-up, elevating funding of Rs 22 crore for the aim.
“Muse Wearables”, the start-up 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 fee and SpO2 (blood oxygen saturation) which might constantly monitor these physique vitals remotely to assist in early prognosis of COVID-19 signs.
The tracker might be Bluetooth-enabled and might be related to the cell phone through an app referred to as the Muse Health App. The person vitals and exercise knowledge are saved on the telephone in addition to a distant server. Administrative entry can 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 he/she enters a COVID containment zone.
Users can increase an emergency alert (SOS) in case of any problem and the alert is raised when physique temperature is increased than the edge. The app additionally alerts individuals when SpO2 ranges are too low or when the person 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 funding of Rs 22 crore,” KLN Sai Prasanth, an IIT Madras alumni.
Priced at round Rs 3,500, the brand new wearable product might be accessible out there for customers throughout 70 nations by August.
Ok Prathyusha, an NIT Warangal graduate, mentioned: “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 the 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 mentioned. PTI