Accelerating surgical robotics research: A review of 10 years with the da vinci research kit
Robotic-assisted surgery is now well established in clinical practice and has become the
gold-standard clinical treatment option for several clinical indications. The field of robotic …
gold-standard clinical treatment option for several clinical indications. The field of robotic …
Methods and measures for mental stress assessment in surgery: a systematic review of 20 years of literature
M Torkamani-Azar, A Lee… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Real-time mental stress monitoring from surgeons and surgical staff in operating rooms may
reduce surgical injuries, improve performance and quality of medical care, and accelerate …
reduce surgical injuries, improve performance and quality of medical care, and accelerate …
Subject-specific cognitive workload classification using EEG-based functional connectivity and deep learning
Cognitive workload is a crucial factor in tasks involving dynamic decision-making and other
real-time and high-risk situations. Neuroimaging techniques have long been used for …
real-time and high-risk situations. Neuroimaging techniques have long been used for …
A novel mutual information based feature set for drivers' mental workload evaluation using machine learning
Analysis of physiological signals, electroencephalography more specifically, is considered a
very promising technique to obtain objective measures for mental workload evaluation …
very promising technique to obtain objective measures for mental workload evaluation …
Raw electroencephalogram-based cognitive workload classification using directed and nondirected functional connectivity analysis and Deep Learning
With the phenomenal rise in internet-of-things devices, the use of electroencephalogram
(EEG) based brain-computer interfaces (BCIs) can empower individuals to control …
(EEG) based brain-computer interfaces (BCIs) can empower individuals to control …
Reliability of mental workload index assessed by eeg with different electrode configurations and signal pre-processing pipelines
A Mastropietro, I Pirovano, A Marciano, S Porcelli… - Sensors, 2023 - mdpi.com
Background and Objective: Mental workload (MWL) is a relevant construct involved in all
cognitively demanding activities, and its assessment is an important goal in many research …
cognitively demanding activities, and its assessment is an important goal in many research …
[HTML][HTML] Specific feature selection in wearable EEG-based transducers for monitoring high cognitive load in neurosurgeons
The electroencephalographic (EEG) features for discriminating high and low cognitive load
associated with fine motor activity in neurosurgeons were identified by combining wearable …
associated with fine motor activity in neurosurgeons were identified by combining wearable …
Reproducible machine learning research in mental workload classification using EEG
G Demirezen, T Taşkaya Temizel… - Frontiers in …, 2024 - frontiersin.org
This study addresses concerns about reproducibility in scientific research, focusing on the
use of electroencephalography (EEG) and machine learning to estimate mental workload …
use of electroencephalography (EEG) and machine learning to estimate mental workload …
Consumer Neuroscience: A Neural Engineering Approach
F Babiloni, P Cherubino - Handbook of Neuroengineering, 2023 - Springer
This chapter aims to understand how neuroscientific technologies can be effectively
employed to better understand human behavior in real world decision-making contexts. The …
employed to better understand human behavior in real world decision-making contexts. The …
Contactless Physiological Assessment of Mental Workload During Teleworking-like Task
Human physiological parameters have been proven as reliable and objective indicators of
user's mental states, such as the Mental Workload. However, standard methodologies for …
user's mental states, such as the Mental Workload. However, standard methodologies for …