Machine learning for stuttering identification: Review, challenges and future directions
Stuttering is a speech disorder during which the flow of speech is interrupted by involuntary
pauses and repetition of sounds. Stuttering identification is an interesting interdisciplinary …
pauses and repetition of sounds. Stuttering identification is an interesting interdisciplinary …
Functional near-infrared spectroscopy in the study of speech and language impairment across the life span: a systematic review
Purpose Functional brain imaging is playing an increasingly important role in the diagnosis
and treatment of communication disorders, yet many populations and settings are …
and treatment of communication disorders, yet many populations and settings are …
Enhanced accuracy for multiclass mental workload detection using long short-term memory for brain–computer interface
Cognitive workload is one of the widely invoked human factors in the areas of human–
machine interaction (HMI) and neuroergonomics. The precise assessment of cognitive and …
machine interaction (HMI) and neuroergonomics. The precise assessment of cognitive and …
Exploring relationships among risk factors for persistence in early childhood stuttering
Purpose The purpose of this study is to investigate how epidemiological and clinical factors
collectively predict whether a preschooler who is stuttering will persist or recover and to …
collectively predict whether a preschooler who is stuttering will persist or recover and to …
Lower limb exoskeleton robot and its cooperative control: A review, trends, and challenges for future research
G Masengo, X Zhang, R Dong, AB Alhassan… - Frontiers in …, 2023 - frontiersin.org
Effective control of an exoskeleton robot (ER) using a human-robot interface is crucial for
assessing the robot's movements and the force they produce to generate efficient control …
assessing the robot's movements and the force they produce to generate efficient control …
Compact, portable, high-density functional near-infrared spectroscopy system for brain imaging
Advancements in functional near-infrared spectroscopy (fNIRS) neuroimaging have
extended its usage from clinical settings to real-life applications. We developed a wearable …
extended its usage from clinical settings to real-life applications. We developed a wearable …
Functional near-infrared spectroscopy in pediatric clinical research: Different pathophysiologies and promising clinical applications
A Gallagher, F Wallois, H Obrig - Neurophotonics, 2023 - spiedigitallibrary.org
Over its 30 years of existence, functional near-infrared spectroscopy (fNIRS) has matured
into a highly versatile tool to study brain function in infants and young children. Its …
into a highly versatile tool to study brain function in infants and young children. Its …
Assessment and classification of mental workload in the prefrontal cortex (PFC) using fixed-value modified beer-lambert law
Optical-neuro-imaging based functional Near-Infrared Spectroscopy (fNIRS) has been in
use for several years in the fields of brain research to measure the functional response of …
use for several years in the fields of brain research to measure the functional response of …
The effects of two game interaction modes on cortical activation in subjects of different ages: A functional near-infrared spectroscopy study
R Ge, Z Wang, X Yuan, Q Li, Y Gao, H Liu, Z Fan… - IEEE …, 2021 - ieeexplore.ieee.org
Increasing age and various pathological factors lead to cognitive function decline among the
elderly. The most serious cognitive dysfunctions among the elderly include mild cognitive …
elderly. The most serious cognitive dysfunctions among the elderly include mild cognitive …
Looking for “fNIRS signature” in autism spectrum: a systematic review starting from preschoolers
E Conti, E Scaffei, C Bosetti, V Marchi… - Frontiers in …, 2022 - frontiersin.org
Accumulating evidence suggests that functional Near-Infrared Spectroscopy (fNIRS) can
provide an essential bridge between our current understanding of neural circuit organization …
provide an essential bridge between our current understanding of neural circuit organization …