The inspiration behind NeuralFidelity:

The concept for NeuralFidelity was inspired by our ambition to create a portable, wireless, high-resolution EEG system that is both advanced and accessible to clinicians.

Drawing on insights from the article “Development of a Modular Board for EEG Signal Acquisition” (see small PCB to the right, 16 channels)​, we were motivated to design our own system. Initially, with support from the EU regional funds, we began developing a 32-channel system tailored for clinical use, with the flexibility to scale up to 64 channels for more advanced research applications. This dual approach ensures that our technology serves both everyday clinical needs and the rigorous demands of academic research.

 

Our vision:

Our goal is to develop a 32/64 channel portable, wireless EEG system that not only meets the high standards of accuracy and reliability required for mental health assessment but also brings a new level of personalization and affordability. The 32-channel configuration is specifically designed to be accessible for everyday clinical practices, offering a robust tool that clinicians can rely on for assessing the functionality and regulation of neural systems. For universities and research institutions, the system can be expanded to 64 channels, providing the enhanced capabilities needed for in-depth fundamental research. To the left is an early prototype of the 32 channel EEG board (2 of these can be stacked for a 64 channel solution).

Project progress:

Since receiving the grant from the Danish Life Science Cluster, we have made substantial strides in validating our portable, wireless EEG system. Our collaboration with DTU, Imaging Future Aps, and Indesman has been crucial in optimizing our hardware design, particularly by integrating and testing a highly advanced analog front-end component. This chosen component is known for its exceptional ability to capture extremely fine electrical signals from the brain, thanks to its high resolution and minimal noise interference. These qualities are vital for ensuring that the system accurately reflects neural activity, which is crucial for effective mental health assessments in both clinical and research settings.

A significant breakthrough in our development process has been the successful wireless streaming of raw data from the 32-channel system. Currently, data is transmitted via TCP to a Python-based server with a minimal delay of just 4 milliseconds between each data packet. While this achievement is a major milestone, we are continuously working on increasing the sampling speed to 500 samples per second (SPS). We’ve encountered challenges, particularly with the system’s memory capacity, which may limit higher-speed buffering, but we’re exploring more powerful alternatives to overcome this.

In parallel, we are also developing a custom EEG cap that uses saline electrodes, tailored to fit each individual’s head perfectly. This customization is crucial for ensuring both comfort and the accuracy of electrode placement, which in turn enhances the quality of the data collected. This EEG cap is designed to work seamlessly with our wireless system, providing a comprehensive solution that is both user-friendly and highly effective for clinical assessments and research.

Looking ahead:

As we continue to refine the NeuralFidelity system, our focus remains on ensuring that it is both cost-effective for clinical use and scalable for advanced research applications. By addressing the technical challenges and optimizing our system, we aim to make high-quality, portable, and wireless EEG assessments more accessible to clinicians and researchers alike.

Join us on this journey:

We invite you to follow our progress on the Imaging Future website, where we will share regular updates and insights from our work on the NeuralFidelity Initiative. Together, we can make a meaningful impact on the future of mental health care through innovation, affordability, and collaboration.

Conclusion:

The NeuralFidelity Initiative is more than just a project; it is a movement towards better, more personalized, and accessible mental health care. With the support of the Danish Life Science Cluster, we are excited to explore new frontiers in EEG technology and to share our findings with the world.

The post Advancing accessible EEG Technology: The journey of the NeuralFidelity initiative first appeared on Imaging Future.

• The ‘lie score’ is out of 9. It measures how socially desirable you are trying to be in your answers.Those who score 5 or more on this scale are probably trying to make themselves look good and are not being totally honest in their responses.
• The ‘E score’ is out of 24 and measures how much of an extrovert you are.
• The ‘N score’ is out of 24 and measures how neurotic you are.

To interpret the scores, your E score and your N score are plotted on a graph from which you can read your personality characteristics. The nearer the outside of the circle you are, the more marked are the personality traits. Please note that the EPI is a very simplistic type of personality measurement scale, so if you have come out as a personality that does not match what you thought before you took the test, you are probably right and the test is probably wrong!

Instructions

Here are some questions regarding the way you behave, feel and act. Each question has radio buttons to answer YES or NO. Try to decide whether YES or NO represents your usual way of acting or feeling. Then check those radio named YES or NO. Work quickly, and don’t spend too much time over any question, we want your first reaction, not a long drawn-out thought process. The whole questionnaire shouldn’t take more than a few minutes. Be sure not to omit any questions. Start now, work quickly and remember to answer every question. There are no right or wrong answers, and this isn’t a test of intelligence or ability, but simply a measure of the way you behave.

This test is a demonstration of psychological tests plugin.

The post Eysenck’s Personality Inventory (EPI) (Extroversion/Introversion) first appeared on Imaging Future.

The post Blog 2 first appeared on Imaging Future.

The post Blog 1 first appeared on Imaging Future.

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Aliquam facilisis venenatis nisi. Ut malesuada felis a nulla lacinia, vitae rutrum sem ullamcorper. Nulla blandit gravida eros, quis eleifend velit. In faucibus, diam maximus tristique fermentum, velit eros fermentum nisl, sit amet tincidunt elit urna placerat augue. Curabitur porttitor in elit ut commodo. Morbi sed eros placerat, fringilla dui ac, tempus quam. Aliquam congue, nibh in suscipit ullamcorper, urna diam bibendum nunc, at suscipit ligula sem eget erat.

Sed leo metus, ultricies a egestas sit amet, bibendum vitae lorem. Ut lobortis dictum lacus, quis vulputate nibh ultricies id. Proin tempus metus sed augue commodo, eu dictum elit volutpat. Fusce sed sagittis quam, ut dictum erat. Aliquam mauris sem, laoreet ac posuere id, pulvinar id odio. Morbi maximus tellus commodo urna tincidunt, a condimentum sem laoreet. Praesent magna lacus, ullamcorper suscipit aliquam nec, varius vitae velit. Phasellus fermentum elit in mi rutrum imperdiet.

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