Approaches, applications, and challenges in physiological emotion recognition—a tutorial overview
An automatic emotion recognition system can serve as a fundamental framework for various
applications in daily life from monitoring emotional well-being to improving the quality of life …
applications in daily life from monitoring emotional well-being to improving the quality of life …
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 …
SleepContextNet: A temporal context network for automatic sleep staging based single-channel EEG
C Zhao, J Li, Y Guo - Computer Methods and Programs in Biomedicine, 2022 - Elsevier
Background and objective: Single-channel EEG is the most popular choice of sensing
modality in sleep staging studies, because it widely conforms to the sleep staging …
modality in sleep staging studies, because it widely conforms to the sleep staging …
A Flexible Bidirectional Interface with Integrated Multimodal Sensing and Haptic Feedback for Closed‐Loop Human–Machine Interaction
Human–machine interaction (HMI) establishes an interconnected bridge between humans
and robots and plays a significant role in industry and medical fields. However, the …
and robots and plays a significant role in industry and medical fields. However, the …
Automated detection of obstructive sleep apnea in more than 8000 subjects using frequency optimized orthogonal wavelet filter bank with respiratory and oximetry …
Obstructive sleep apnea (OSA) is a common respiratory disorder marked by interruption of
the respiratory tract and difficulty in breathing. The risk of serious health damage can be …
the respiratory tract and difficulty in breathing. The risk of serious health damage can be …
CAPSCNet: A novel scattering network for automated identification of phasic cyclic alternating patterns of human sleep using multivariate EEG signals
Abstract The Cyclic Alternating Pattern (CAP) can be considered a physiological marker of
sleep instability. The CAP can examine various sleep-related disorders. Certain short events …
sleep instability. The CAP can examine various sleep-related disorders. Certain short events …
Automated detection of schizophrenia using deep learning: a review for the last decade
M Sharma, RK Patel, A Garg, R SanTan… - Physiological …, 2023 - iopscience.iop.org
Schizophrenia (SZ) is a devastating mental disorder that disrupts higher brain functions like
thought, perception, etc., with a profound impact on the individual's life. Deep learning (DL) …
thought, perception, etc., with a profound impact on the individual's life. Deep learning (DL) …
Automated detection of hypertension using continuous wavelet transform and a deep neural network with Ballistocardiography signals
Managing hypertension (HPT) remains a significant challenge for humanity. Despite
advancements in blood pressure (BP)-measuring systems and the accessibility of effective …
advancements in blood pressure (BP)-measuring systems and the accessibility of effective …
Narcolepsy diagnosis with sleep stage features using PSG recordings
Narcolepsy is a sleep disorder affecting millions of people worldwide and causes serious
public health problems. It is hard for doctors to correctly and objectively diagnose …
public health problems. It is hard for doctors to correctly and objectively diagnose …
An expert system for automated classification of phases in cyclic alternating patterns of sleep using optimal wavelet‐based entropy features
Humans spend a significant portion of their time in the state of sleep, and therefore one's'
sleep health'is an important indicator of the overall health of an individual. Non‐invasive …
sleep health'is an important indicator of the overall health of an individual. Non‐invasive …