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A novel approach towards non-obstructive detection and classification of COPD using ECG derived respiration
The alarming rate of mortality and disability due to Chronic Obstructive Pulmonary Disease (COPD) has become a serious health concern worldwide. The...
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Cardiopulmonary Coupling
Cardiopulmonary coupling (CPC) is a technique that generates sleep spectrogram by calculating the cross-spectral power and coherence of heart rate... -
Strength of ensemble learning in automatic sleep stages classification using single-channel EEG and ECG signals
AbstractHealthy sleep plays an essential role in human daily life. Classification of sleep stages is a crucial tool for assisting physicians in...
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Linear and nonlinear analysis of multimodal physiological data for affective arousal recognition
ObjectiveIn this work we intend to design a system to classify human arousal at five levels (i.e., five stress levels) using four peripheral bio...
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Wavelet transform and deep learning-based obstructive sleep apnea detection from single-lead ECG signals
Sleep apnea is a common sleep disorder. Traditional testing and diagnosis heavily rely on the expertise of physicians, as well as analysis and...
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ECG-derived respiration based on iterated Hilbert transform and Hilbert vibration decomposition
Monitoring of the respiration using the electrocardiogram (ECG) is desirable for the simultaneous study of cardiac activities and the respiration in...
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Respiratory Signal Extraction from ECG Signal
The extraction of respiration from physiological signals such as the electrocardiogram (ECG) and photoplethysmogram (PPG) has been explored for a... -
An Artificial Intelligence-Based Approach for Automated Classification of Obstructive Sleep Apnea by Considering Multi-modal Feature Fusion Technique
Obstructive Sleep Apnea (OSA) is a crucial sleep-breath disorder often characterized by partial or complete cessation of airflow during sleep. The...
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Home Sleep Testing of Sleep Apnea
Measurement methods with graded complexity for use in the lab as well as for home sleep testing (HST) are available for the diagnosis of sleep apnea,... -
A principal component analysis based data fusion method for ECG-derived respiration from single-lead ECG
An ECG-derived respiration (EDR) algorithm based on principal component analysis (PCA) is presented and applied to derive the respiratory signals...
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ECG and Heart Rate Variability in Sleep-Related Breathing Disorders
Here we discuss the current perspectives of comprehensive heart rate variability (HRV) analysis in electrocardiogram (ECG) signals as a non-invasive... -
End-to-End Sleep Apnea Detection Using Single-Lead ECG Signal and 1-D Residual Neural Networks
PurposeSleep apnea causes heart rate variability (HRV). HRV can be detected from the electrocardiography (ECG) signal and descriptors of HRV during...
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Evaluating cannabidiol (CBD) expectancy effects on acute stress and anxiety in healthy adults: a randomized crossover study
RationaleCannabidiol (CBD) has been reported to attenuate stress and anxiety, but little is known about the extent to which such effects result from...
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Feature Engineering and Computational Intelligence in ECG Monitoring: An Introduction
Recent advances in wearable technology and on devices based on Internet of Things (IoT) have led to an explosion of routinely collected individual... -
A novel acquisition platform for long-term breathing frequency monitoring based on inertial measurement units
Continuous monitoring of breathing frequency (f B ) could foster early prediction of adverse clinical effects and exacerbation of medical conditions....
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Impact of Changes in Systemic Physiology on fNIRS/NIRS Signals: Analysis Based on Oblique Subspace Projections Decomposition
Measurements of cerebral and muscle oxygenation (StO2) and perfusion ([tHb]) with functional near-infrared spectroscopy (fNIRS) and near infrared... -
Sex Differences in Autonomic Response to Exercise Testing in Patients with Brugada Syndrome
Introduction: Cardiac events in patients with Brugada syndrome (BS) typically occur at rest and mainly during sleep, suggesting that changes in... -
Complexity and Nonlinearities in Cardiorespiratory Signals in Sleep and Sleep Apnea
Sleep is a complex physiological process that plays a key role in maintaining homeostasis, well-being and overall health. It has an internal... -
Effect of ECG-derived respiration (EDR) on modeling ventricular repolarization dynamics in different physiological and psychological conditions
Ventricular repolarization dynamics is an important predictor of the outcome in cardiovascular diseases. Mathematical modeling of the heart rate...