Adversarial attacks to machine learning-based smart healthcare systems

AKMI Newaz, NI Haque, AK Sikder… - … 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
The increasing availability of healthcare data requires accurate analysis of disease
diagnosis, progression, and real-time monitoring to provide improved treatments to the …

[HTML][HTML] The validation of a portable functional nirs system for assessing mental workload

MJ Saikia, WG Besio, K Mankodiya - Sensors, 2021 - mdpi.com
Portable functional near-infrared spectroscopy (fNIRS) systems have the potential to image
the brain in naturalistic settings. Experimental studies are essential to validate such fNIRS …

Assessing cognitive workloads of assembly workers during multi-task switching

B Ren, Q Zhou, J Chen - Scientific Reports, 2023 - nature.com
Complex assembly tasks with multiple manual operations and steps often require rapid
judgment and action under time pressure and cause most human-related errors. The task …

Optimized electroencephalogram and functional near-infrared spectroscopy-based mental workload detection method for practical applications

H Chu, Y Cao, J Jiang, J Yang, M Huang, Q Li… - Biomedical Engineering …, 2022 - Springer
Background Mental workload is a critical consideration in complex man–machine systems
design. Among various mental workload detection techniques, multimodal detection …

Effect of Parallel Cognitive-Motor Training Tasks on Hemodynamic Responses in Robot-Assisted Rehabilitation

D Wang, J Zhou, Y Huang, Q Meng - Brain Connectivity, 2025 - liebertpub.com
Objective: Previous studies suggest that the combination of robot-assisted training with other
concurrent tasks may promote the functional recovery and improvement better than the …

Cerebral oxygenation responses to head movement measured with near-infrared spectroscopy

I de Almeida Ivo, JM Horschig… - … in exercise science …, 2021 - spiedigitallibrary.org
Motion is disruptive to neuroimaging methods. Motion artefacts range from large amplitude
and short frequency spikes to drifts in amplitude causing cofounds in the analysis or …

Wearable Pair of EEG, EOG and fNIRS Glasses for Cognitive Workload Detection

N Kosmyna, K El Adl, M Kim - 2024 IEEE 20th International …, 2024 - ieeexplore.ieee.org
A rapidly growing number of studies demonstrate the potential benefits of Brain-Computer
Interfaces (BCls) in a wide range of use cases including education, workplace safety, and …

Study of Different Classifiers and Multi-modal Sensors in Assessment of Workload

E MacNeil, A Bishop, K Izzetoglu - International Conference on Human …, 2022 - Springer
Cognitive workload changes in the assessment of human performance have long been
monitored through the use of subjective self-reports, physiological, or neuro-physiological …

Wireless System Design for Direct Current Photoplethysmography

DA Lara-López, MA Valdovinos-Zepeda… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
A recent report showed that an OPT-101 photodetector and a red light-emitting diode (LED)
of 630 nm wavelength could be employed to detect direct current Photoplethysmography …

[LIVRE][B] Investigating the Performance of Sensor-Driven Biometrics for the Assessment of Cognitive Workload

EK MacNeil - 2022 - search.proquest.com
Cognitive workload changes in the assessment of human performance have long been
monitored through the use of subjective self-reports, physiological, or neuro-physiological …