Publications using the OctaMon
An fNIRS dataset for driving risk cognition of passengers in highly automated driving scenarios
For highly autonomous vehicles, human does not need to operate continuously vehicles. The brain-computer interface system in autonomous vehicles will highly depend on the brain states of passengers rather than those of human drivers. It is a …
Hammerstein–Wiener Motion Artifact Correction for Functional Near-Infrared Spectroscopy: A Novel Inertial Measurement Unit-Based Technique
Participant movement is a major source of artifacts in functional near-infrared spectroscopy (fNIRS) experiments. Mitigating the impact of motion artifacts (MAs) is crucial to estimate brain activity robustly. Here, we suggest and evaluate a novel …
Prefrontal Correlates of Passengers’ Mental Activity Based on fNIRS for High-Level Automated Vehicles
With the spread adoption of artificial intelligence, the great challenges confronted by the intelligent safety concern-safety of the intended functionality has become the biggest roadblock to the mass production of high-level automated vehicles, …
Prefrontal cortical activity during uneven terrain walking in younger and older adults
Introduction: Walking in complex environments increases the cognitive demand of locomotor control; however, our understanding of the neural mechanisms contributing to walking on uneven terrain is limited. We used a novel method for altering terrain …
Aerobic exercise on the treadmill combined with transcranial direct current stimulation on the gait of people with Parkinson’s disease: A protocol for a randomized clinical trial
Gait impairments negatively affect the quality of life of people with Parkinson’s disease (PwPD). Aerobic exercise (AE) is an alternative to alleviate these impairments and its combination with transcranial direct current stimulation (tDCS) has …
Cerebral and muscle near-infrared spectroscopy during lower-limb muscle activity – volitional and neuromuscular electrical stimulation
Chronic venous insufficiency (CVI) can lead to blood clotting in the deep veins of the legs, a disease known as deep vein thrombosis. An estimated 40 percent of people in the United States have venous insufficiency that may be ameliorated with …
Classification of Mild Cognitive Impairment Using Functional Near-Infrared Spectroscopy-Derived Biomarkers With Convolutional Neural Networks
Objective To date, early detection of mild cognitive impairment (MCI) has mainly depended on paper-based neuropsychological assessments. Recently, biomarkers for MCI detection have gained a lot of attention because of the low sensitivity of …
Neurocognitive effects a combined polyphenolic-rich herbal extract in healthy middle-aged adults – a randomised, double-blind, placebo-controlled study
Objective: This study assessed whether polyphenolic rich supplement containing Bacopa monnieri (BM: 300 mg), Panax quinquefolius ginseng (PQ: 100 mg) and whole coffee fruit extract (WCFE: 100 mg) could enhance cognitive performance, affect and …
Prefrontal Cortex Activity During Gait in People With Persistent Symptoms After Concussion
Background: Concussions result in transient symptoms stemming from a cortical metabolic energy crisis. Though this metabolic energy crisis typically resolves in a month, symptoms can persist for years. The symptomatic period is associated with gait …
Evaluation of the learning state of online video courses based on functional near infrared spectroscopy
Studying brain activity during online learning will help to improve research on brain function based on real online learning situations, and will also promote the scientific evaluation of online education. Existing research focuses on enhancing …
Prefrontal cortex activation while walking did not change but gait speed improved after a randomized physical therapy intervention
Background: Higher prefrontal cortex (PFC) activation while walking may indicate reduced gait automaticity. Aim: We examine whether PFC activation during walking improves after training in older adults at risk for mobility disability. Methods: …
Relationship between accelerometer-measured sleep duration and Stroop performance: a functional near-infrared spectroscopy study among young adults
Objectives: Short sleep is becoming more common in modern society. This study aimed to explore the relationship between accelerometer-measured sleep duration and cognitive performance among young adults as well as the underlying hemodynamic …
The Power of Fear: Exploring the Neural Responses to Horror Scenes in Different Audiovisual Modes
Neurocinematics is an emerging interdisciplinary field at the intersection between Human-Computer Interaction, Brain-Computer Interfaces (BCI), and cinematics, that explores the use of brain and physiological data (such as functional Near …
Brain activity response to cues during gait in Parkinson’s disease: A study protocol
Various cueing strategies (internal and external) have been used to alleviate gait deficits in Parkinson’s disease (PD). However, it remains unclear which type of cueing strategy is most effective at different disease stages or with more severe …
Aging effects on electrical and hemodynamic responses in the sensorimotor network during unilateral proximal upper limb functional tasks
Healthy aging leads to poorer performance in upper limb (UL) daily living movements. Understanding the neural correlates linked with UL functional movements may help to better understand how healthy aging affects motor control. Two non-invasive …
Automatic depression diagnosis through hybrid EEG and near-infrared spectroscopy features using support vector machine
Depression is a common mental disorder that seriously affects patients’ social function and daily life. Its accurate diagnosis remains a big challenge in depression treatment. In this study, we used electroencephalography (EEG) and functional …
Multimodal Assessment of Cognitive Workload Using Neural, Subjective and Behavioural Measures in Smart Factory Settings
Collaborative robots (cobots) have largely replaced conventional industrial robots in today’s workplaces, particularly in manufacturing setups, due to their improved performance and intelligent design. In the framework of Industry 5.0, humans are …
Unveiling Neurocognitive Disparities in Encoding and Retrieval between Paper and Digital Tablet-Based Learning
The widespread use of mobile devices and laptops has replaced traditional paper-based learning and the question of how the brain efficiency of digital tablet-based learning differs from that of paper-based learning remains unclear. The purpose of …
A Clarity-intensity model for evacuation panic by fNIRS and VR
Panic plays a critical role in the management of emergencies, but its mechanism regarding the disaster stimuli is not yet clear. This study aims to construct a Clarity-Intensity model for evacuation panic through a VR experiment. 15 disaster stimuli …