Marco Parvis

TL;DR: In this article, a solution that does not employ either chemical solutions or sputtered or mercury electrodes and therefore does not damage the coating and does not pose health hazards was proposed. But the proposed solution is based on the use of soft rubber electrodes, coated by a thin gold layer, which overcome the problems of following small surface irregularities that would prevent the correct estimation of the contact surface in the case of rigid electrodes.

TL;DR: A processing technique that can be used to combine information from different medical analyses to discriminate between different pathologies that have similar symptoms and is based on mixed neural-and-conventional processing.

TL;DR: In this article , a comparison between artifact removal techniques applied to real electroencephalographic data is presented. And the most suitable technique for artifact removal with a focus on wearability, portability, and low cost of the final system is investigated.

TL;DR: In this paper , a brain-computer interface based on motor imagery was implemented by using a consumer-grade electroencephalograph and by taking into account wearable and portable feedback actuators.

TL;DR: Even if the MFDS model cannot replace the radiologist’s work, it can provide valuable assistive support, reducing the risk of human error, preventing patient harm by minimizing diagnostic delays, and reducing the incongruous burden of hospitalization.