[PDF][PDF] Development of Objective Measure of Psychotropic Substances Abuse Using Automatic Retinal Image Analysis (ARIA) 利用全自動化視網膜圖像分析技術(ARIA) …

MM LAI - 2022 - nd.gov.hk
Background In Hong Kong, the total number of substance abusers has steadily declined for
the past decade. It decreased from 11572 in 2011 to 5 569 in 2020, a 4% decline from 5 772 …

Retinal Image Based System to Detect the Drug Abuse

R Ahuja, RK Sachdeva, P Bathla - 2022 2nd International …, 2022 - ieeexplore.ieee.org
The paper provides a mechanized system and method to detect the presence of weed in a
person using retinal imaging system. The system includes an image acquisition unit to …

A machine learning approach for retinal images analysis as an objective screening method for children with autism spectrum disorder

M Lai, J Lee, S Chiu, J Charm, WY So, FP Yuen… - …, 2020 - thelancet.com
Background Autism spectrum disorder (ASD) is characterised by many of features including
problem in social interactions, different ways of learning, some children showing a keen …

Advanced computer Vision techniques for drug abuse detection

G Tufo, M Zribi, F Pitolli, P Pagliuca - Advanced computer vision …, 2023 - iris.uniroma1.it
Lateral flow tests, used to rapidly detect various diseases, as HIV, or specific physiological
conditions, as drug abuse, through blood, saliva, or urine samples, are becoming a powerful …

Application and challenges of neuroimaging technology in mechanisms and treatment of drug addiction

K Yuan, J Zhang, DH Liu, D Yu - Zhonghua yi xue za zhi, 2022 - europepmc.org
Neuroimaging technologies can non-invasively characterize the structure and function of
addiction brain, reveal the neural mechanism of addictive behavior, and provide a priori for …

[PDF][PDF] Comparison of brain functions between healthy participants and methamphetamine users with various addiction histories: Data analysis based on EEG and …

X Gu, X Li, B Yang - Journal of Innovative Optical Health Sciences, 2024 - researching.cn
The electroencephalogram (EEG) rhythm and functional near-infrared spectroscopy (fNIRS)
activation levels have not been compared between a healthy control group (HCG) and …

Retinal Image Analysis for Simultaneous Classification and Severity Grading of Attention-Deficit Hyperactivity Disorder and Autism Spectrum Disorder using Deep …

L Lee, K Ingram - Journal of Student Research, 2024 - jsr.org
Over the last 20 years, the number of children born with Autism Spectrum Disorder (ASD)
and Attention-Deficit Hyperactivity Disorder (ADHD) has significantly increased. According to …

Deep learning model using retinal vascular images for classifying schizophrenia

A Appaji, V Harish, V Korann, P Devi, A Jacob… - Schizophrenia …, 2022 - Elsevier
Contemporary psychiatric diagnosis still relies on the subjective symptom report of the
patient during a clinical interview by a psychiatrist. Given the significant variability in …

[PDF][PDF] Rapid Situation Assessment (RSA) of drug abuse in Iran

E Razzaghi, A Rahimi, M Hosseini… - … of Health, IR of Iran and …, 1999 - academia.edu
The Islamic Republic of Iran has a long history of combating drug abuse. Because of its
geographical location, Iran is one of the major conduits for opium, morphine base and …

BCI+ VR rehabilitation design of closed-loop motor imagery based on the degree of drug addiction

X Gu, B Yang, S Gao, H Gao, L Yan, D Xu… - China …, 2022 - ieeexplore.ieee.org
After abusing drugs for long, drug users will experience deteriorated self-control cognitive
ability, and poor emotional regulation. This paper designs a closed-loop virtual-reality (VR) …