Machine learning for stuttering identification: Review, challenges and future directions

SA Sheikh, M Sahidullah, F Hirsch, S Ouni - Neurocomputing, 2022 - Elsevier
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 …

Functional near-infrared spectroscopy in the study of speech and language impairment across the life span: a systematic review

LK Butler, S Kiran, H Tager-Flusberg - American Journal of Speech …, 2020 - ASHA
Purpose Functional brain imaging is playing an increasingly important role in the diagnosis
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

U Asgher, K Khalil, MJ Khan, R Ahmad, SI Butt… - Frontiers in …, 2020 - frontiersin.org
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 …

Exploring relationships among risk factors for persistence in early childhood stuttering

B Walsh, S Christ, C Weber - Journal of Speech, Language, and Hearing …, 2021 - ASHA
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 …

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 …

Compact, portable, high-density functional near-infrared spectroscopy system for brain imaging

MA Yaqub, SW Woo, KS Hong - IEEE Access, 2020 - ieeexplore.ieee.org
Advancements in functional near-infrared spectroscopy (fNIRS) neuroimaging have
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 …

Assessment and classification of mental workload in the prefrontal cortex (PFC) using fixed-value modified beer-lambert law

U Asgher, R Ahmad, N Naseer, Y Ayaz, MJ Khan… - Ieee …, 2019 - ieeexplore.ieee.org
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 …

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 …

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 …