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We are a research and engineering team developing wearable technology to prevent epileptic seizures. MJN redefines the concept behind seizures prediction through technology to improve quality life of people.

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Innovation to bring you peace of mind

A wearable device which overcome the actual barriers of epilepsy seizure prediction

Innovation to bring you peace of mind

A wearable device which overcome the actual barriers of epilepsy seizure prediction

EEG, stress & pulse real-time monitoring to predict epileptic seizures

Biometrics monitoring

Our device uses the last technologies to precisely track your biologic activity.

Predict seizures

We have developed artificial intelligence algorithms that learn from each user in order to understand their brain activity/biometrics behaviour and predict seizures with accuracy.

Warn and prevent

The device warns the owner when a seizure is coming in order to take preventative safety measures, moreover it is fully connected to a mobile app which instantly notifies the user's status to family and/or caregivers.

EEG, stress & pulse real-time monitoring to predict epileptic seizures.

Biometrics monitoring

Our device uses the last technologies to precisely track your biologic activity.

Predict seizures

We have developed artificial intelligence algorithms that learn from each user in order to understand their brain activity/biometrics behaviour and predict seizures with accuracy.

Warn and prevent

The device warns the owner when a seizure is coming in order to take preventative safety measures, moreover it is fully connected to a mobile app which instantly notifies the user's status to family and/or caregivers.

All the technology needed in a wearable device

Wisely developed to embrace everything you need

COMPONENTS

Mobile / Earbud

Bracelet

Mobile App

All the technology needed in a wearable device

Wisely developed to embrace everything you need

COMPONENTS

Mobile / Earbud

Bracelet

Mobile App

HOW IT WORKS?

Track real-time brain activity, stress and pulse

Get all the biologic information needed using only 2 tiny devices

An earpiece records the electroencephalogram of the user
A bracelet records pulse and stress

Precise feedback and predictions that care for you

Everything fully connected to a personalised AI software

All data recorded is sent to an app
The app provided with AI predicts epilepsy seizures and warn the user, caregivers and the loved ones
The app upload the data to a cloud service for a complete clinical report for people with epilepsy

HOW IT WORKS?

Track real-time brain activity, stress and pulse

Get all the biologic information needed using only 2 tiny devices

An earpiece records the electroencephalogram of the user
A bracelet records pulse and stress

Precise feedback and predictions that care for you

Everything fully connected to a personalised AI software

All data recorded is sent to an app
The app provided with AI predicts epilepsy seizures and warn the user, caregivers and the loved ones
The app upload the data to a cloud service for a complete clinical report for people with epilepsy

Comfortable, easy to use & really powerful

A device developed with the user in mind

Design

We want it to fit your routine, we want you to forget you wear it and to be the only one who knows it’s there.

Usability

No complications around.
Everybody can use it, no technical or clinical knowledge needed.

Technology

Crossing epilepsy crisis prediction barriers with the last technologies available to provide you real quality of life.

The result of years of research and engineering at your hands

Developed by a multidisciplinary team of science and tech specialists to make epilepsy less harmful

Hardware & Software

Hardware

Earpiece

  • EEG 2 channels technology (3 electrodes)
  • Bluetooth connectivity
  • Integrated battery

 

Bracelet

  • Sensors to monitor heart pulse
  • Skin conductance sensors to monitor stress

 

Software

  • Mobile App with artificial intelligence algorithm
  • Powerful cloud service to keep, manage and view data

Research & Development

Utility model

October 2015, presentation of model in OEPM Madrid.
Model rights in February 2016.
U201531172, COMPREHENSIVE DETECTION, WARNING, PREDICTION AND CORRECTION EQUIPMENT FOR THE SAFETY OF PEOPLE WITH EPILEPSY.

 

International patent

September 2016, PCT presentation for the international patent phase for the extension of the national utility model rights.
Countries selection: Europe and Unites States.
America and Asia in second phase.

Origin

Detection and prevention of epileptic seizures by recording the brain

 

PLOS-ONE ; Ngram-Derived Pattern Recognition for the Detection and rediction of Epileptic Seizures. 2012-June 2014
Amir Eftekhar*, Walid Juffali, Jamil El-Imad, Timothy G.
Constandinou, Christofer Toumazou, Centre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering,Imperial College London, South Kensington Campus, London, UK.

 

PLOS-ONE; Predicting Epileptic Seizures in Advance. 2013-May 2014
Negin Moghim*, David W. Corne . Heriot-Watt University, Edinburgh, United Kingdom.

 

New technology can predict epileptic seizures. May 2013
Professor Mark Cook, University of Melbourne and St. Vicent’s Hospital.

Proof of concept

Challenge for the determination of the pre-ictal phase prior to the seizure.
Detection algorithms using artificial intelligence

 

AMERICAN EPILEPSY SOCIETY. Crowdsourcing Advances Epileptic Seizure Detection and Prediction. SEATTLE. Dec 2014-2015
National Institutes of Health’s, National Institute of Neurological Disorders and Stroke (NINDS), and the Epilepsy Foundation.
504 Global Teams Compete in Model of Collaborative Research.
Hosted by Kaggle.

 

Seizure prediction using FFT, eigen values of correlation matrix, artificial neural networks, knearest-neighbors and Bayesian model combination
F. Zamora-Martínez, F. J. Muñoz-Almaraz, P. Botella-Rocamora, J. Pardo. Universidad CEU Cardenal Herrera, Valencia. Embedded Systems and Articial Intelligence (ESAI) research group.

 

Prediction of epileptic seizures using EEG data. Thesis
Maurice Gonzenbach. Department of Mathematics.

Epilepsy and our mission

It is currently estimated that more than 1,8% of the world’s population suffer from epilepsy

30% of these patients are considered as pharmacoresistant (medicines can not control seizures)

The word epilepsy comes from the Greek and means ``Surprise attack``. The current medicine considers that a seizure can not be predicted

MJN is here to redefine that

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Subscribe if you want to be the first to know more about our device’s development