Deep reinforcement learning for cerebral anterior vessel tree extraction from 3D CTA images

Extracting the cerebral anterior vessel tree of patients with an intracranial large vessel occlusion (LVO) is relevant to investigate potential biomarkers that can contribute to treatment decision making. The purpose of our work is to develop a method that can achieve this from routinely acquired computed tomography angiography (CTA) and...

Neck muscle control patterns in 3D isometric experiments

The better understanding of neuromuscular control of the human neck is of critical importance to understand whiplash injury and neurological movement disorders. Isometric experiments using electromyography (EMG) are an appropriate method to study neuromuscular control patterns of neck muscles. As the human head-neck system is highly complex, it...

Continuous Impedance, Force, and Acceleration Monitoring for Motion Artefact Reduction in EEG

Electroencephalograph (EEG) is used in various applications such as diagnosing patients suffering from epilepsy or seizures. Motion artefact is the noise recorded together with the desired biopotential signals. It is mainly introduced by the relative motion between the measurement electrode and the human scalp. Dry electrodes are preferred in...