Alcoholic EEG signals recognition based on phase space dynamic and geometrical features
Alcoholism is a severe disorder that leads to brain problems and associated cognitive,
emotional and behavioral impairments. This disorder is typically diagnosed by a …
emotional and behavioral impairments. This disorder is typically diagnosed by a …
An integrated alcoholic index using tunable-Q wavelet transform based features extracted from EEG signals for diagnosis of alcoholism
Alcoholism affects the structure and functioning of brain. Electroencephalogram (EEG)
signals can depict the state of brain. The EEG signals are ensemble of various neuronal …
signals can depict the state of brain. The EEG signals are ensemble of various neuronal …
Automatic diagnosis of alcohol use disorder using EEG features
Alcohol use disorder (AUD) has been considered as a social and health issue worldwide.
More importantly, the screening of AUD patients has been challenging due to the subjectivity …
More importantly, the screening of AUD patients has been challenging due to the subjectivity …
An EEG-based functional connectivity measure for automatic detection of alcohol use disorder
Background The abnormal alcohol consumption could cause toxicity and could alter the
human brain's structure and function, termed as alcohol used disorder (AUD). Unfortunately …
human brain's structure and function, termed as alcohol used disorder (AUD). Unfortunately …
Empirical wavelet transform based automated alcoholism detecting using EEG signal features
A Anuragi, DS Sisodia - Biomedical Signal Processing and Control, 2020 - Elsevier
Electroencephalogram (EEG) signals are well used to characterize the brain states and
actions. In this paper, a novel empirical wavelet transform (EWT) based machine learning …
actions. In this paper, a novel empirical wavelet transform (EWT) based machine learning …
Classification of EEG signals to detect alcoholism using machine learning techniques
JC Rodrigues, PP Rebouças Filho, E Peixoto Jr… - Pattern Recognition …, 2019 - Elsevier
The diagnosis of alcoholism is of great importance not only due to its effects on the
individual and society but also the costs to the national health systems. Moreover, there are …
individual and society but also the costs to the national health systems. Moreover, there are …
Detection of alcoholism using EEG signals and a CNN-LSTM-ATTN network
Alcoholism is a serious disorder that poses a problem for modern society, but the detection
of alcoholism has no widely accepted standard tests or procedures. If alcoholism goes …
of alcoholism has no widely accepted standard tests or procedures. If alcoholism goes …
Alcohol use disorder detection using EEG Signal features and flexible analytical wavelet transform
A Anuragi, DS Sisodia - Biomedical Signal Processing and Control, 2019 - Elsevier
The frequent excessive drinking of alcohol severely affects the neuronal composition and
working of the brain and consequently developed Alcohol Use Disorder (AUD). Subjects …
working of the brain and consequently developed Alcohol Use Disorder (AUD). Subjects …
A hybrid method based on time–frequency images for classification of alcohol and control EEG signals
Classification of alcoholic electroencephalogram (EEG) signals is a challenging job in
biomedical research for diagnosis and treatment of brain diseases of alcoholic people. The …
biomedical research for diagnosis and treatment of brain diseases of alcoholic people. The …
Classification of alcoholic and non-alcoholic EEG signals based on sliding-SSA and independent component analysis
Alcoholism is a widely affected disorder that leads to critical brain deficiencies such as
emotional and behavioural impairments. One of the prominent sources to detect alcoholism …
emotional and behavioural impairments. One of the prominent sources to detect alcoholism …