Photoplethysmogram analysis and applications: an integrative review

J Park, HS Seok, SS Kim, H Shin - Frontiers in Physiology, 2022 - frontiersin.org
Beyond its use in a clinical environment, photoplethysmogram (PPG) is increasingly used for
measuring the physiological state of an individual in daily life. This review aims to examine …

Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states

AE Hramov, VA Maksimenko, AN Pisarchik - Physics Reports, 2021 - Elsevier
Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …

[HTML][HTML] Optical imaging and spectroscopy for the study of the human brain: status report

H Ayaz, WB Baker, G Blaney, DA Boas… - …, 2022 - spiedigitallibrary.org
This report is the second part of a comprehensive two-part series aimed at reviewing an
extensive and diverse toolkit of novel methods to explore brain health and function. While …

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 …

Hybrid EEG–fNIRS-based eight-command decoding for BCI: application to quadcopter control

MJ Khan, KS Hong - Frontiers in neurorobotics, 2017 - frontiersin.org
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 …

Passive BCI based on drowsiness detection: an fNIRS study

MJ Khan, KS Hong - Biomedical optics express, 2015 - opg.optica.org
We use functional near-infrared spectroscopy (fNIRS) to discriminate the alert and drowsy
states for a passive brain-computer interface (BCI). The passive brain signals for the drowsy …

Enhanced drowsiness detection using deep learning: an fNIRS study

MA Tanveer, MJ Khan, MJ Qureshi, N Naseer… - IEEE …, 2019 - ieeexplore.ieee.org
In this paper, a deep-learning-based driver-drowsiness detection for brain-computer
interface (BCI) using functional near-infrared spectroscopy (fNIRS) is investigated. The …

Assessment of age-related decline of neurovascular coupling responses by functional near-infrared spectroscopy (fNIRS) in humans

T Csipo, P Mukli, A Lipecz, S Tarantini, D Bahadli… - Geroscience, 2019 - Springer
Preclinical studies provide strong evidence that age-related impairment of neurovascular
coupling (NVC) plays a causal role in the pathogenesis of vascular cognitive impairment …

Interferometric diffusing wave spectroscopy imaging with an electronically variable time-of-flight filter

M Zhao, W Zhou, S Aparanji, D Mazumder… - Optica, 2023 - opg.optica.org
Diffuse optics (DO) is a light-based technique used to study the human brain, but it suffers
from low brain specificity. Interferometric diffuse optics (iDO) promises to improve the …

Diffuse correlation spectroscopy: current status and future outlook

SA Carp, MB Robinson, MA Franceschini - Neurophotonics, 2023 - spiedigitallibrary.org
Diffuse correlation spectroscopy (DCS) has emerged as a versatile, noninvasive method for
deep tissue perfusion assessment using near-infrared light. A broad class of applications is …