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Lifestyle Health and Wellbeing 13 Feb 2018 IIT-Madras develops ...

IIT-Madras develops indigenous health monitoring device

DECCAN CHRONICLE.
Published Feb 13, 2018, 1:18 am IST
Updated Feb 13, 2018, 1:18 am IST
Algorithm developed which derive vitals in non-invasive way.
VinCense, health monitoring device (Photo: DC)
 VinCense, health monitoring device (Photo: DC)

Chennai: In a major technological development, IIT Madras has developed the algorithm for the first indigenous health monitoring and wearable device, ‘VinCense’ for deriving vitals in a non-invasive manner.

The device jointly developed by MedloTeK Health Systems and IIT Madras can be used for monitoring vital signs including pulse rate, oxygen saturation, respiratory rate and blood pressure. The real-time data are stored in the secured cloud from where healthcare providers can access vitals using an intuitive interface.

 

“There are many health monitoring wearable devices are currently available in the market. But, their accuracy is not very good. We have developed algorithms to provide the accurate reading,” said Professor M.Manivannan, Head of Touch Lab, Biomedical Engineering Group, Department of Applied Mechanics, IIT Madras.

VinCense can be deployed for Home Healthcare delivery, insurance/analytics and corporate/ industrial occupational health screening. It also has applications for non-communicable diseases screening and surveillance, general public health, and community health.

 

“The device can also be used to monitor the wellness of the people. Not only the patients, the general public also can wear it like a wristwatch,” he said. “At present, the device could cost around Rs 20,000. If the number of devices increased the cost would come down as low as Rs 5,000 and can become affordable to all,” he added. This collaboration with MedloTek further leads to algorithms for medical simulation applied to wireless health monitoring systems.

It could also lead to early intervention reducing risks and complications and improving clinical outcomes.Some of the applications are close monitoring of high dependency patients like post-operation, rehabilitation, tracking just discharged patients and tracking patients in the ambulance.

 

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