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NioWear — Capabilities and Benefits

NioWear is a smart device that captures human brain waves or EEG signals. The captured EEG signals are wirelessly transferred to a smart phone by NioWear using Bluetooth Light. From the smart phone, the EEG data is sent to the cloud, where our cutting-edge machine learning algorithms analyze and convert this low level EEG sensor data into high level actionable and tangible events. Depending on the use case, the later events may range from — seizure prediction in Health Care through — emotion and behavior detection in Neuromarketing to — directly controlling objects with the mind for Gaming or people with disabilities.

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Exult App

Exult is a companion app of NioWear for advanced seizure management. The app works best with the NioWear headset. For users who aspire to utilize the seizure prediction functionality, the NioWear headset is a prerequisite. However, the app could still be used without Niowear for some normal seizure management tasks.

 

Key Features

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Monitor Seizure

Brain activities or EEG signals obtained by NioWear are used to constantly monitor seizure.

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Notify Caregivers

Select family members or caregivers that should be notified immediately when a seizure event occurs.

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Locate Incident

Provide the location of a seizure episode, as well as interactive feedback between a patient and caregivers.

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Predict Seizure

Use historical EEG data acquired by NioWear to predict next seizure probability. The more data we collect, the better our prediction results.

 

Interested in any of these features?

How can NioWear + Exult App help you?

This video explains a usecase where NioWear is used for Advanced Seizure Management.

About Us

Evercot AI is an Artificial Intelligence (AI) startup company that provides end-to-end analytics solutions to customers in the Health Care, Mobility, Gaming and Marketing Industries. While Machine Learning and Data Mining are the core and prime focus of our company, Evercot AI strongly believes in easy and flawless delivery of analytics. Based on this, Evercot AI also develops both software and hardware to ensure a seamless end-to-end delivery of her AI solutions.

Epilepsy Awareness

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Startup Grind
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Meet us at SG in Silicon Valley

11 - 12 February 2020

Evercot AI has been selected by Startup Grind, powered by Google for Startups, for the Startup Exhibition in the Grind category at the 2020 Startup Grind Global Conference held February 11-12th in Silicon Valley. Startup Grind is the largest independent startup community, actively educating, inspiring, and connecting 3,500,000 founders in more than 600 chapters globally. Founded in Silicon Valley, they nurture startup ecosystems in 125+ countries through events, media, and partnerships with organizations such as Google for Startups.

Evercot AI will be presenting and demonstrating the NioWear wearable. We plan to also talk about concrete usecases on how machine learning can be utilized for early diagnosis, predictions and cost reduction in health care. If you would like to discuss with us on these and other topics — for better synchronization, consider scheduling a meeting in advanced through our calendar. We will be happy to take your questions about NioWear or Evercot AI.

Visit us @ Startup Grind Global 2020

Date: 11 - 12 February 2020
Location:

Silicon Valley

Address: 2215 Broadway, Redwood City, CA 94063, USA
Topics:
  • NioWear
  • Machine Learning for Health Care
  • Machine Learning for Mobility
Arrange your meeting in advance for better planning
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Meet us at TC Disrupt Berlin

11 - 12 December 2019

TechCrunch Disrupt is a leading tech conference where top technology companies and aspiring startups meet to showcase and discuss future technologies. Join Evercot AI at this year Startup Alley in Berlin to learn more about us and our product.

Evercot AI will be presenting and demonstrating the NioWear wearable. We plan to also talk about concrete usecases on how machine learning can be utilized for early diagnosis, predictions and cost reduction in health care. Visit us at Startup Alley on 11 - 12 December 2019.

Contact us

Send a request by filling the form below or by direct email.