Computerized detection of cyclic alternating patterns of sleep: A new paradigm, future scope and challenges
Background and objectives: Sleep quality is associated with wellness, and its assessment
can help diagnose several disorders and diseases. Sleep analysis is commonly performed …
can help diagnose several disorders and diseases. Sleep analysis is commonly performed …
A systematic review of machine learning models in mental health analysis based on multi-channel multi-modal biometric signals
J Ehiabhi, H Wang - BioMedInformatics, 2023 - mdpi.com
With the increase in biosensors and data collection devices in the healthcare industry,
artificial intelligence and machine learning have attracted much attention in recent years. In …
artificial intelligence and machine learning have attracted much attention in recent years. In …
SleepSmart: an IoT-enabled continual learning algorithm for intelligent sleep enhancement
Sleep is an essential physiological process that is crucial for human health and well-being.
However, with the rise of technology and increasing work demands, people are …
However, with the rise of technology and increasing work demands, people are …
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 …
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 …
Eeg-based person identification and authentication using deep convolutional neural network
Using biometric modalities for person recognition is crucial to guard against impostor
attacks. Commonly used biometric modalities, such as fingerprint scanners and facial …
attacks. Commonly used biometric modalities, such as fingerprint scanners and facial …
LSTM-CNN: An efficient diagnostic network for Parkinson's disease utilizing dynamic handwriting analysis
X Wang, J Huang, M Chatzakou, K Medijainen… - Computer Methods and …, 2024 - Elsevier
Background and objectives: Dynamic handwriting analysis, due to its noninvasive and
readily accessible nature, has emerged as a vital adjunctive method for the early diagnosis …
readily accessible nature, has emerged as a vital adjunctive method for the early diagnosis …
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 …
Multivariate time-series anomaly detection with contaminated data: Application to physiological signals
TKK Ho, N Armanfard - arXiv preprint arXiv:2308.12563, 2023 - arxiv.org
Mainstream unsupervised anomaly detection algorithms often excel in academic datasets,
yet their real-world performance is restricted due to the controlled experimental conditions …
yet their real-world performance is restricted due to the controlled experimental conditions …
Artificial Intelligence in Retinal Screening Using OCT Images: A Review of the Last Decade (2013-2023)
Background and objectives Optical coherence tomography (OCT) has ushered in a
transformative era in the domain of ophthalmology, offering non-invasive imaging with high …
transformative era in the domain of ophthalmology, offering non-invasive imaging with high …