Detecting consciousness in clinically unresponsive patients with brain injury

Background Each year, traumatic brain injury results in 1.5 million hospital admissions in the EU. Of all comatose patients with traumatic brain injury, 40% die in the ICU and 20% enter a prolonged disorder of consciousness, seemingly unaware of themselves and their environment. Recent studies indicate that 15-20% of these behaviorally unresponsive patients have residual (covert) consciousness. Detecting consciousness in those people is challenging, but of utmost importance since the presumed presence or absence of consciousness affects medical decisions about treatment, including prognosis and end-of-life decisions....

December 7, 2023 · Tobias Andersen

Blind Non-linear Equalization Using Variational Autoencoders

Background In digital communication the goal is to send information, usually represented by bits, from A (transmitter, Tx) to B (receiver, Rx). At some point in this process, the bits “meet” the physical world in the form of a channel. In optical communication, light from a laser diode is used to carry the information that travels through an optical fiber and is then detected at receiver using a photodiode. However, the optical fiber channel does not perfectly pass on the light as it will be attenuated and distorted the longer the light travels....

November 27, 2023 · Søren Føns Nielsen

Human Data Fusion

Background Write a few paragraphs with background info on your project. Remember to include information regarding available datasets. data: eeg; eye-tracking: gaze position (fixations and saccades), pupil size, posture; skin conductance; eeg, ecg (and hrv, ...), blood oxygen saturation, breathing rate. contextual data synchronization of data multiple persons fusion of multi-modal data that has been recorded at different times (varying contexts). provide data sources. ________________________________________________________________________________________________________ Project 1: Create a common framework to make it easier to apply ML methods to an otherwise heterogeneous set of datas-sources....

November 15, 2023