Deep learning for healthcare applications based on physiological signals: A review
Background and objective: We have cast the net into the ocean of knowledge to retrieve the
latest scientific research on deep learning methods for physiological signals. We found 53 …
latest scientific research on deep learning methods for physiological signals. We found 53 …
[HTML][HTML] Applications of functional near-infrared spectroscopy (fNIRS) neuroimaging in exercise–cognition science: a systematic, methodology-focused review
F Herold, P Wiegel, F Scholkmann… - Journal of clinical medicine, 2018 - mdpi.com
For cognitive processes to function well, it is essential that the brain is optimally supplied
with oxygen and blood. In recent years, evidence has emerged suggesting that cerebral …
with oxygen and blood. In recent years, evidence has emerged suggesting that cerebral …
Portable spectroscopy
RA Crocombe - Applied spectroscopy, 2018 - journals.sagepub.com
Until very recently, handheld spectrometers were the domain of major analytical and security
instrument companies, with turnkey analyzers using spectroscopic techniques from X-ray …
instrument companies, with turnkey analyzers using spectroscopic techniques from X-ray …
Virtual reality in neuroscience research and therapy
Virtual reality (VR) environments are increasingly being used by neuroscientists to simulate
natural events and social interactions. VR creates interactive, multimodal sensory stimuli that …
natural events and social interactions. VR creates interactive, multimodal sensory stimuli that …
Functional near-infrared spectroscopy in movement science: a systematic review on cortical activity in postural and walking tasks
F Herold, P Wiegel, F Scholkmann, A Thiers… - …, 2017 - spiedigitallibrary.org
Safe locomotion is a crucial aspect of human daily living that requires well-functioning motor
control processes. The human neuromotor control of daily activities such as walking relies …
control processes. The human neuromotor control of daily activities such as walking relies …
Optical brain monitoring for operator training and mental workload assessment
An accurate measure of mental workload in human operators is a critical element of
monitoring and adaptive aiding systems that are designed to improve the efficiency and …
monitoring and adaptive aiding systems that are designed to improve the efficiency and …
Artifact removal in physiological signals—Practices and possibilities
KT Sweeney, TE Ward… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
The combination of reducing birth rate and increasing life expectancy continues to drive the
demographic shift toward an aging population. This, in turn, places an ever-increasing …
demographic shift toward an aging population. This, in turn, places an ever-increasing …
fNIRS study of walking and walking while talking in young and old individuals
Background. Evidence suggests that gait is influenced by higher order cognitive and cortical
control mechanisms. However, less is known about the functional correlates of cortical …
control mechanisms. However, less is known about the functional correlates of cortical …
Neuroimaging of mobility in aging: a targeted review
R Holtzer, N Epstein, JR Mahoney… - … Series A: Biomedical …, 2014 - academic.oup.com
Background. The relationship between mobility and cognition in aging is well established,
but the relationship between mobility and the structure and function of the aging brain is …
but the relationship between mobility and the structure and function of the aging brain is …
[HTML][HTML] A comprehensive survey on the detection, classification, and challenges of neurological disorders
Simple Summary This study represents a resourceful review article that can deliver
resources on neurological diseases and their implemented classification algorithms to …
resources on neurological diseases and their implemented classification algorithms to …