Water quality detection based on UV-Vis and NIR spectroscopy: a review
Due to rapid economic development and urbanization, water pollution has posed a
significant threat to public health and social stability. Therefore, accurate and rapid …
significant threat to public health and social stability. Therefore, accurate and rapid …
Hybrid EEG–fNIRS-based eight-command decoding for BCI: application to quadcopter control
In this paper, a hybrid electroencephalography–functional near-infrared spectroscopy (EEG–
fNIRS) scheme to decode eight active brain commands from the frontal brain region for brain …
fNIRS) scheme to decode eight active brain commands from the frontal brain region for brain …
In Vivo Spectral Distortions of Infrared Luminescent Nanothermometers Compromise Their Reliability
Luminescence nanothermometry has emerged over the past decade as an exciting field of
research due to its potential applications where conventional methods have demonstrated to …
research due to its potential applications where conventional methods have demonstrated to …
Functional near‐infrared spectroscopy as a tool for assessing speech and spoken language processing in pediatric and adult cochlear implant users
H Bortfeld - Developmental psychobiology, 2019 - Wiley Online Library
Much of what is known about the course of auditory learning in following cochlear
implantation is based on behavioral indicators that users are able to perceive sound. Both …
implantation is based on behavioral indicators that users are able to perceive sound. Both …
Gesture recognition for transhumeral prosthesis control using EMG and NIR
A key challenge associated with myoelectric prosthesis limbs is the acquisition of a good
quality gesture intent signal from the residual anatomy of an amputee. In this study, the …
quality gesture intent signal from the residual anatomy of an amputee. In this study, the …
Early detection of hemodynamic responses using EEG: a hybrid EEG-fNIRS study
Enhanced classification accuracy and a sufficient number of commands are highly
demanding in brain computer interfaces (BCIs). For a successful BCI, early detection of brain …
demanding in brain computer interfaces (BCIs). For a successful BCI, early detection of brain …
A bimodal deep learning architecture for EEG-fNIRS decoding of overt and imagined speech
Objective: Brain-computer interfaces (BCI) studies are increasingly leveraging different
attributes of multiple signal modalities simultaneously. Bimodal data acquisition protocols …
attributes of multiple signal modalities simultaneously. Bimodal data acquisition protocols …
Deep learning multimodal fNIRS and EEG signals for bimanual grip force decoding
Objective. Non-invasive brain-machine interfaces (BMIs) offer an alternative, safe and
accessible way to interact with the environment. To enable meaningful and stable physical …
accessible way to interact with the environment. To enable meaningful and stable physical …
Refining thermal therapy: Temperature distribution modeling with distinct absorption in multi-layered skin tissue during infrared laser exposure
Laser therapies embody cutting-edge advances in non-invasive medical techniques. This
study concentrates on enhancing precision thermal therapy via a modeling approach for the …
study concentrates on enhancing precision thermal therapy via a modeling approach for the …
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 …