Automated accurate insomnia detection system using wavelet scattering method using ECG signals
N Sharma, M Sharma, H Telangore, UR Acharya - Applied Intelligence, 2024 - Springer
Polysomnograms (PSGs), commonly conducted in sleep laboratories, serve as the gold
standard for sleep analysis. Among the vital PSG components, the electroencephalogram …
standard for sleep analysis. Among the vital PSG components, the electroencephalogram …
Automated insomnia detection using wavelet scattering network technique with single-channel EEG signals
M Sharma, D Anand, S Verma, UR Acharya - Engineering Applications of …, 2023 - Elsevier
Sleep is crucial for both the physical and mental well-being of human life. As the sleep
pattern varies in every individual, it is essential to develop a methodology that enables us to …
pattern varies in every individual, it is essential to develop a methodology that enables us to …
Time frequency distribution and deep neural network for automated identification of insomnia using single channel EEG-signals
It is essential to have enough sleep for a healthy life; otherwise, it may lead to sleep
disorders such as apnea, narcolepsy, insomnia, and periodic leg movements. A …
disorders such as apnea, narcolepsy, insomnia, and periodic leg movements. A …
INSOMNet: Automated insomnia detection using scalogram and deep neural networks with ECG signals
Sleep is a natural state of rest for the body and mind. It is essential for a human's physical
and mental health because it helps the body restore itself. Insomnia is a sleep disorder that …
and mental health because it helps the body restore itself. Insomnia is a sleep disorder that …
Identification of insomnia based on discrete wavelet transform using time domain and nonlinear features
P Mamta, S Prasad - Computational Vision and Bio-Inspired Computing …, 2021 - Springer
Insomnia is a type of sleep disorder that affects both the psychological and mental state.
Conventionally, clinicians diagnose insomnia with a clinical interview that is subjective and …
Conventionally, clinicians diagnose insomnia with a clinical interview that is subjective and …
Automated identification of insomnia using optimal bi-orthogonal wavelet transform technique with single-channel EEG signals
Nowadays, sleep studies have gained a lot of attention from researchers due to the
immense importance of quality sleep. Human beings spend nearly one-third of their lives in …
immense importance of quality sleep. Human beings spend nearly one-third of their lives in …
[PDF][PDF] Ensemble Computational Intelligent for Insomnia Sleep Stage Detection via the Sleep ECG Signal
R MEHROTRA, MDBBIN HEYAT, F AKHTAR… - academia.edu
Insomnia is a common sleep disorder in which patients cannot sleep properly. Accurate
detection of insomnia disorder is a crucial step for mental disease analysis in the early …
detection of insomnia disorder is a crucial step for mental disease analysis in the early …
Ensemble computational intelligent for insomnia sleep stage detection via the sleep ECG signal
P Tripathi, MA Ansari, TK Gandhi, R Mehrotra… - IEEE …, 2022 - ieeexplore.ieee.org
Insomnia is a common sleep disorder in which patients cannot sleep properly. Accurate
detection of insomnia disorder is a crucial step for mental disease analysis in the early …
detection of insomnia disorder is a crucial step for mental disease analysis in the early …
Sleep disorder identification using wavelet scattering on ECG signals
Sleep affects the functioning of all biological processes in the human body. Sleep disorders
disrupt the well‐being of an individual and can potentially lead to other health complications …
disrupt the well‐being of an individual and can potentially lead to other health complications …
A hierarchical approach for the diagnosis of sleep disorders using convolutional recurrent neural network
Sleep is an essential criterion for health. However, sleep disorders degrade the sleep
quality. Hence, to diagnose sleep disorders, sleep monitoring is crucial. The cyclic …
quality. Hence, to diagnose sleep disorders, sleep monitoring is crucial. The cyclic …