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  • How myBrain works
  • Who we are
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  • Contact Us

Neuroscience has to meet the challenges of tomorrow’s world_

Use neural data to reach informative conclusions.
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How it works_

Use case design

Your decisions need to be supported by neural markers. To achieve this, our primary goal is to build informative neural datasets.

  1. Mission Goal Define the user’s behaviors to interpret.
  2. Define the strategy Choose the data modalities that will guide your experience.
  3. Customise your protocol Build your user research plan with our customisable tools.

Use case design

Use case design Record myBrain Tech

Record

Trust users’ brain: go to the source of humans’ behaviors emotions and cognitions.

  1. Response Our solutions allow you to record individuals’ cognitive and emotional reactions and the underlying brain responses.
  2. Quality The quality of our technology has been validated in some of the most used scientific protocols in comparison to a clinical-grade EEG.
  3. Ease of use Moreover, it is portable and user-friendly: you will be able to record brain data everywhere with no risk and no difficulty.

Record

Ready-to-use Solution

Computing

Our team of neuroscientists and data scientists develops automatised data analysis algorithms to simplify the interpretation of brain dynamics and to extract informative features. These features inform upon individuals’ behavior and provide you with valuable insights to meet your business needs.

Use:

  1. Our validated Signal Processing Algorithms via library or API.
  2. Our automatic NeuroMarkers computation.
  3. Our AI Based patterns analysis or build your own algorithm.

Computing

Decision Tool

Interpreting, predicting or simulating individuals’ brain responses is our ultimate goal. Neural data help you push your industrial decision and pull a new stream of industrial and business goals. Concretely, you’ll get valuable information to conceive new products, to improve the existing ones, to simulate future customer satisfactions, to differentiate from the competition, to minimize risks of failure, to reduce costs and to anticipate the market.

  1. Compare Evaluate how your product signficantly impacts users’ behaviors.
  2. Report Use automatically generated visual reports to support your insights.
  3. Decide Make the data push your decision.

 

Decision Tool

How myBrain supports its customers in their successes_

Automotive Industry
Consulting Firm
Pharma Labs
Health Care Institutions

Use-case: Industrial Design

01

The client wants

To integrate consumers’ preferences and ratings to design their new-generation car-seats in order to improve the comfort level of the seat occupant. To go beyond users’ self-report, and look at the brain that is the place where feeling of comfort is processed.

02

What the product consists of?

A car-seat based on a pneumatic device that rhythmically inflates and deflates distinct air bladders at a particular pressure.

03

How did we quantify the feeling of comfort?

We recruited 100 participants.

1/ we recorded their brain activity and their feeling of well-being (questionnaire) at rest.

2/ we assigned them to 2 distinct groups:

3/ we recorded their brain activity and collected their feeling of well-being (questionnaire) once more.

4/ we analyzed all this brain data using AI algorithms to quantify the effect of receiving an actual massage vs a placebo.

5/ we extracted valuables KPIs.

04

What we proved

We provided an objective insight of the positive impact of receiving an actual massage on individual’ well-being. In other words, the brain of customers experiencing an actual massage looked more ‘relaxed’ and more ‘exited’.

05

The take home message

We brought useful insights to help our industrial partner to take industrial, business and marketing decisions. Getting this objective data, our partner saved time and reduced the risk of failure in product development.

Use-case: Internal Risk-management

01

The client wants

To improve the way to assess the well-being of his team of collaborators.
First, he wanted to go beyond the use of questionnaires to quantify the well-being of his collaborators. Also, he needed a data management platform to digitalize all this information and to continuously follow-up the evolution of these key performance indices.

02

How did we quantify the feeling of well-being?

We delivered our headset and our mobile application to our partner in order to allow his employees to autonomously monitor their brain activity. We instructed them to record their brain activity twice per day (before and after the beginning of a daily work-routine) for one year, under some semi-controlled conditions. Also, we digitalized the questionnaires and implemented them in the mobile application. The mobile platform centralized in real-time all these data and extracted the neuro-markers of well-being.

03

What did we deliver?

We delivered useful information on the well-being of a group of employees. The employer got continuous, standardized and robust key performance indexes that allow him to better organize the workload, holidays periods, social events etc. as a function of the well-being of his team. All in all, collaborators reported increased satisfaction, increased feeling of relaxation and a decreased feeling of anxiety. Increase in well-being paralleled better work performance, resulting in better revenues for our partner.

Use-case: Pharmacovigilance

01

The client wants

To improve the way to assess the central effects of their drugs when developing a new product or when monitoring a marketed drug in real life.
To predict the onset of a central disorders with an accurate solution to be deployed remotely for remote patient monitoring purposes.
To easily access to the patient’s information in order to monitor the evolution of the neuromarkers over time.

02

How can we quantify the effects?

We digitalize the appropriate questionnaires and implement them in the mobile application.
We create the mobile platform to centralize in real-time all these data and extract the accurate electrophysiological and cognitive neuro-markers.
We deliver our headset and our mobile application to our pharma company partner or to the CRO leading the clinical trial or the real life study in order to autonomously monitor the brain activity of the patients treated with their drugs.
We instruct the partner to record their patients’ brain activity twice per day for six months or one year (according to the protocol), under some semi-controlled conditions.

03

What we delivered

We deliver key information regarding the central effects of the drugs, these data can be delivered to regulatory authorities for pharmacovigilance registration.
Our partner can easily assess the benefit/side effects of their drugs by adding EEG and cognitive measures at a very competitive cost.
We deliver to our partner a huge amount of data, ensuring the accuracy of the algorithm. These specific algorithms and data sets would be also ready to be used later along the lifecycle of the drugs as a digital arm.

Use-case: Diagnostic Aids

01

The client wants

To improve the specificity and the sensitivity of a new diagnostic solution to predict the onset of a disruptive neurological disease in a pre-clinical population. He needed continuous remote monitoring to collect informative data at different momentum of individuals’ life.

02

What did we do?

We coupled our headset to his mobile solution and tested 300 individuals. They were instructed to undergo the test once per day for 6 months. Our platform centralized the data and extracted automatically the brain markers underlying the disease, as proved by the scientific literature.

03

What we delivered

Our partner tested the benefit of adding EEG measures to his solution at a very competitive cost. He got a huge amount of data to improve the accuracy of his algorithm. Ultimately, he chose to partner with us to conceive an ad-hoc prototype of his solution, including a portable EEG headset.

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  • How myBrain works
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