8 EEG Electrodes
Bluetooth Data Transfer
Syncs with Smart Phone
Elegant, Light & Portable
Re-Imagine EEG headset design
Comfortable on skin
Fits different head sizes
Not for kids
Suitable for outdoors
Captures EEG on the move
Adds environmental context to EEG Data
Excellent opportunity for AI
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.
Our Exult App prime objective is to better predict seizure. The more data we acquire, the better the seizure prediction results. We are looking for early adopters or volunteers that can participate in our Beta Program. Within the Beta Program, we will diligently work with a limited number of seizure patients, provide them NioWear headsets and track their seizures for three months. All gathered EEG data will be handled privately.Volunteer Benefits:
The Beta Program aims at collecting EEG data from seizure patients to improve prediction results. Volunteers should:
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.
Brain activities or EEG signals obtained by NioWear are used to constantly monitor seizure.
Select family members or caregivers that should be notified immediately when a seizure event occurs.
Provide the location of a seizure episode, as well as interactive feedback between a patient and caregivers.
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?
This video explains a usecase where NioWear is used for Advanced Seizure Management.
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.
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.
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.
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