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 …
Beer–Lambert law for optical tissue diagnostics: current state of the art and the main limitations
I Oshina, J Spigulis - Journal of biomedical optics, 2021 - spiedigitallibrary.org
Significance: Beer–Lambert law (BLL) is a widely used tool for contact and remote
determination of absorber concentration in various media, including living tissues. Originally …
determination of absorber concentration in various media, including living tissues. Originally …
[HTML][HTML] Best practices for fNIRS publications
The application of functional near-infrared spectroscopy (fNIRS) in the neurosciences has
been expanding over the last 40 years. Today, it is addressing a wide range of applications …
been expanding over the last 40 years. Today, it is addressing a wide range of applications …
Brain-to-brain synchrony in parent-child dyads and the relationship with emotion regulation revealed by fNIRS-based hyperscanning
Parent-child synchrony, the coupling of behavioral and biological signals during social
contact, may fine-tune the child's brain circuitries associated with emotional bond formation …
contact, may fine-tune the child's brain circuitries associated with emotional bond formation …
Battery-free, stretchable optoelectronic systems for wireless optical characterization of the skin
Recent advances in materials, mechanics, and electronic device design are rapidly
establishing the foundations for health monitoring technologies that have “skin-like” …
establishing the foundations for health monitoring technologies that have “skin-like” …
Recent Progress in Flexible and Wearable All Organic Photoplethysmography Sensors for SpO2 Monitoring
Flexible and wearable biosensors are the next‐generation healthcare devices that can
efficiently monitor human health conditions in day‐to‐day life. Moreover, the rapid growth …
efficiently monitor human health conditions in day‐to‐day life. Moreover, the rapid growth …
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 …
A consensus guide to using functional near-infrared spectroscopy in posture and gait research
Background Functional near-infrared spectroscopy (fNIRS) is increasingly used in the field
of posture and gait to investigate patterns of cortical brain activation while people move …
of posture and gait to investigate patterns of cortical brain activation while people move …
Deep learning for hybrid EEG-fNIRS brain–computer interface: application to motor imagery classification
Objective. Brain–computer interface (BCI) refers to procedures that link the central nervous
system to a device. BCI was historically performed using electroencephalography (EEG). In …
system to a device. BCI was historically performed using electroencephalography (EEG). In …
Signal processing in functional near-infrared spectroscopy (fNIRS): methodological differences lead to different statistical results
MD Pfeifer, F Scholkmann, R Labruyère - Frontiers in human …, 2018 - frontiersin.org
Even though research in the field of functional near-infrared spectroscopy (fNIRS) has been
performed for more than 20 years, consensus on signal processing methods is still lacking …
performed for more than 20 years, consensus on signal processing methods is still lacking …