Apurba wins project to build a wearable early-warning system for stroke patients
Added on 5th January 2017
SUNNYVALE, Calif., Jan 5th, 2017 – Apurba wins a project to build an early-warning system for stroke patients by measuring and modeling the asymmetric movement of the limbs of a patient. The underlying technologies are Big Data and AI, which are used to model abnormal limb movements, also known as tremors, in patients, and uses that as a trigger for designing an early warning system.
The solution will use a wearable device that can measure movement in three dimensions using the onboard accelerometer. As part of this system, tremor data will be collected for a given number of hours, including wake cycles and sleep cycles. The machine learning based modeling of this tremor will form a signature for that patient. This signature will also automatically derive personalized baselines for specific patients, which are expected to be unique to an individual, and even unique to the individual’s circadian rhythm.
Apurba Technologies Inc. is a Sunnyvale, CA, based software development company that creates enterprise big data solutions for natural language processing, visualization and analytics.
