A5037107019- EEG and Brain-Computer Interfaces
- ECG Monitoring and Analysis
- Neuroscience and Neural Engineering
- Motor Control and Adaptation
- Neural and Behavioral Psychology Studies
- Advanced Memory and Neural Computing
- Hemodynamic Monitoring and Therapy
- Heart Rate Variability and Autonomic Control
- Cardiac, Anesthesia and Surgical Outcomes
- Neurological disorders and treatments
- Muscle activation and electromyography studies
- Healthcare Technology and Patient Monitoring
Ab Medica (Italy)
2023-2024
Centro Diagnostico Italiano
2019
University of Toronto
2019
Aston University
2019
OBJECTIVE Wireless technology is a novel tool for the transmission of cortical signals. electrocorticography (ECoG) aims to improve safety and diagnostic gain procedures requiring invasive localization seizure foci also provide long-term recording brain activity brain-computer interfaces (BCIs). However, no wireless devices aimed at these clinical applications are currently available. The authors present application fully implantable externally rechargeable neural prosthesis providing ECoG...
Objective Acute or protracted cortical recording may be necessary for patients with drug-refractory epilepsy to identify the ictogenic regions before undergoing resection. Currently, these invasive techniques present certain limitations, one of which is need cables connecting electrodes placed in intracranial space external devices displaying recorded electrocorticographic signals. This equates a direct connection between sterile non-sterile environment. Due increasing likelihood infections...
New wireless devices allow EEG acquisition during walking and support the investigation on relationship between cognition movement. In particular, P300 is a positive deflection in signal occurring approximately 300 ms after stimulus recognition. demonstrated to be useful detection of cognitive state diagnosis several neurodegenerative disorders. very low amplitude it detectable by averaging over trials (assuming zero mean noise). Wireless data transmission may suffer latencies due protocol,...
In this study, a method combining statistical and machine learning approaches is proposed to select the most informative EEG features for detection of cognitive load linked fine motor activities, during Purdue Pegboard Test (PPT). The validated by an experimental case study on neurosurgeons monitored means wearable electroencephalographic (EEG) acquisition system PPT execution at four increasing levels complexity. workload related activity are identified Speraman rank correlation analysis...
A neurofeedback (NF) -supported training is proposed to enable neurosurgeons learn how regulate their emotions. Electroencephalographic (EEG) signal and heart rate (HR) of 5 were acquired in 4 sessions while performing NF-based emotion regulation (ER). Subjects tried counteract anxious stressful states through NF, that by decreasing the power beta band measured midline areas scalp. The assessment effectiveness was based on use Heart Rate Variability (HRV) combination with EEG. Therefore, EEG...