Artificial intelligence techniques for automated diagnosis of neurological disorders
Background: Authors have been advocating the research ideology that a computer-aided
diagnosis (CAD) system trained using lots of patient data and physiological signals and …
diagnosis (CAD) system trained using lots of patient data and physiological signals and …
Classification methods to detect sleep apnea in adults based on respiratory and oximetry signals: a systematic review
Objective: Sleep apnea (SA), a common sleep disorder, can significantly decrease the
quality of life, and is closely associated with major health risks such as cardiovascular …
quality of life, and is closely associated with major health risks such as cardiovascular …
Empirical wavelet transform based features for classification of Parkinson's disease severity
Parkinson's disease (PD) is a type of progressive neurodegenerative disorder that has
affected a large part of the population till now. Several symptoms of PD include tremor …
affected a large part of the population till now. Several symptoms of PD include tremor …
Automated detection of sleep apnea using sparse residual entropy features with various dictionaries extracted from heart rate and EDR signals
CSSS Viswabhargav, RK Tripathy… - Computers in biology and …, 2019 - Elsevier
Sleep is a prominent physiological activity in our daily life. Sleep apnea is the category of
sleep disorder during which the breathing of the person diminishes causing the alternation …
sleep disorder during which the breathing of the person diminishes causing the alternation …
A fused-image-based approach to detect obstructive sleep apnea using a single-lead ECG and a 2D convolutional neural network
Obstructive sleep apnea (OSA) is a common chronic sleep disorder that disrupts breathing
during sleep and is associated with many other medical conditions, including hypertension …
during sleep and is associated with many other medical conditions, including hypertension …
Automated sleep apnea detection from cardio-pulmonary signal using bivariate fast and adaptive EMD coupled with cross time–frequency analysis
Sleep apnea is a sleep related pathology in which breathing or respiratory activity of an
individual is obstructed, resulting in variations in the cardio-pulmonary (CP) activity. The …
individual is obstructed, resulting in variations in the cardio-pulmonary (CP) activity. The …
A systematic review of literature on automated sleep scoring
Sleep is a period of rest that is essential for functional learning ability, mental health, and
even the performance of normal activities. Insomnia, sleep apnea, and restless legs are all …
even the performance of normal activities. Insomnia, sleep apnea, and restless legs are all …
Classification techniques on computerized systems to predict and/or to detect Apnea: A systematic review
Background and objective Sleep apnea syndrome (SAS), which can significantly decrease
the quality of life is associated with a major risk factor of health implications such as …
the quality of life is associated with a major risk factor of health implications such as …
Systematic review of automated sleep apnea detection based on physiological signal data using deep learning algorithm: a meta-analysis approach
PK Tyagi, D Agarwal - Biomedical Engineering Letters, 2023 - Springer
Sleep apnea (SLA) is a respiratory-related sleep disorder that affects a major proportion of
the population. The gold standard in sleep testing, polysomnography, is costly, inconvenient …
the population. The gold standard in sleep testing, polysomnography, is costly, inconvenient …
Feature extraction and detection of obstructive sleep apnea from raw eeg signal
Electrocardiogram (EEG) signal detects the electrical activity of the brain. It records all the
physiological changes occur in the brain. These signals are useful for detecting different …
physiological changes occur in the brain. These signals are useful for detecting different …