Terahertz biophotonics as a tool for studies of dielectric and spectral properties of biological tissues and liquids
OA Smolyanskaya, NV Chernomyrdin… - Progress in Quantum …, 2018 - Elsevier
In this review, we describe dielectric properties of biological tissues and liquids in the
context of terahertz (THz) biophotonics. We discuss a model of the THz dielectric permittivity …
context of terahertz (THz) biophotonics. We discuss a model of the THz dielectric permittivity …
A biomedical perspective in terahertz nano-communications—A review
Terahertz (THz)-band (0.1~ 10 THz) communications are celebrated to be a crucial enabling
technology for sixth generation (6G) wireless systems that fulfil the stringent requirements of …
technology for sixth generation (6G) wireless systems that fulfil the stringent requirements of …
A computerized method for automatic detection of schizophrenia using EEG signals
Diagnosis of schizophrenia (SZ) is traditionally performed through patient's interviews by a
skilled psychiatrist. This process is time-consuming, burdensome, subject to error and bias …
skilled psychiatrist. This process is time-consuming, burdensome, subject to error and bias …
A spectrogram image based intelligent technique for automatic detection of autism spectrum disorder from EEG
Autism spectrum disorder (ASD) is a developmental disability characterized by persistent
impairments in social interaction, speech and nonverbal communication, and restricted or …
impairments in social interaction, speech and nonverbal communication, and restricted or …
A new framework for automatic detection of patients with mild cognitive impairment using resting-state EEG signals
Mild cognitive impairment (MCI) can be an indicator representing the early stage of
Alzheimier's disease (AD). AD, which is the most common form of dementia, is a major …
Alzheimier's disease (AD). AD, which is the most common form of dementia, is a major …
Automatic and efficient framework for identifying multiple neurological disorders from EEG signals
The burden of neurological disorders is huge on global health and recognized as major
causes of death and disability worldwide. There are more than 600 neurological diseases …
causes of death and disability worldwide. There are more than 600 neurological diseases …
Classification of alcoholic EEG signals using a deep learning method
Most of the traditional alcoholism detection methods are developed based on machine
learning based methods that cannot extract the deep concealed characteristics of …
learning based methods that cannot extract the deep concealed characteristics of …
Machine learning driven approach towards the quality assessment of fresh fruits using non-invasive sensing
In agriculture science, accurate information of moisture content (MC) in fruits and vegetables
in an automated fashion can be vital for astute quality and grading evaluation. This demands …
in an automated fashion can be vital for astute quality and grading evaluation. This demands …
A convolutional long short-term memory-based neural network for epilepsy detection from EEG
Epilepsy (EP) is a severe neurological disorder characterized by recurrent seizures, which
increases the risk of death three times more than normal. Currently, electroencephalography …
increases the risk of death three times more than normal. Currently, electroencephalography …
Sensing and non-destructive testing applications of terahertz spectroscopy and imaging systems: State-of-the-art and state-of-the-practice
W Nsengiyumva, S Zhong, L Zheng… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Terahertz (THz) technology has firmly established itself as an effective sensing and
nondestructive testing (NDT) technique for the detection of substances and physicochemical …
nondestructive testing (NDT) technique for the detection of substances and physicochemical …