Companies Partner to Develop Wearable Epilepsy Device that Monitors Patients in Real Time

Companies Partner to Develop Wearable Epilepsy Device that Monitors Patients in Real Time

European-based companies Dataiku, a predictive analytics software developer, and Bioserenity, which develops smart solutions for epilepsy care, collaborated to design a wearable device aimed at improving the diagnosis of epilepsy.

It’s estimated that more than 50 million people worldwide are affected by this neurological disease, or about 0.7 percent of the global population. But diagnosing and monitoring epilepsy can be difficult due to the unpredictability of seizures, which often occur in the absence of doctors or caretakers.

To tackle this challenge, Dataiku has developed a data analysis application that can be combined with a Bioserenity-developed smart clothing device to monitor patients in real time.

Dataiku and Bioserenity formed a consortium called MEData.lab in June 2015 to focus on the growth and evolution of the digital hospital in the computer age and how connected devices can improve the operational implementation of tools.

With the creation of MEData.lab, Bioserenity has developed the first diagnostic solution for epilepsy: a connected wearable device called Neuronaute.

Photo Credit: Epilepsy Today UK

Neuronaute received CE Marking in Europe in May this year, as well as ISO certification, but it is not yet available in the United States.

The system allows for a mobile and continuous electroencephalogram (EEG) recording to help neurologists reduce the time required to achieve an accurate epilepsy diagnosis.

Neuronaute uses smart clothing, a smartphone app and a cloud platform for remote analysis and dashboard overviews. It’s also scalable, so a single system can accommodate 10,000 devices running simultaneously.

Dataiku developed the analysis application that processes real-time data from the device to accommodate each of the Bioserenity units. The result is the production of 126 million measurements – or 1 GB of data per unit, per hour – a system capable of interpreting and analyzing 90 terabytes of daily data and 10,000 billion daily measurements.

MEData.lab’s main goal is to transform the diagnosis of epilepsy by combining smart, internet-connected clothing technology and predictive analytics. MEData.lab has won three major awards in the French big data community.

“The MEData.lab project is particularly important to us because it’s enabled us to take part in the development of what could be major transformations for the healthcare industry,” Dataiku CEO Florian Douetteau said in a press release. “With Bioserenity, we’re showing that the appropriate use of data could lead to tomorrow’s ever more effective world of medicine and health.”

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