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A Review of Decomposition Methods for ECG-Derived Respiratory Signal Extraction: Principles, Performance, and Applications
Electrocardiogram (ECG)-Derived respiratory methods have become a non-invasive technique for monitoring and assessing respiratory functions. The...
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Effectiveness Analysis of Infinite Impulse Response Digital Filter on Electrocardiogram Signal to Extract Respiration Rate Signal
Respiration Rate (RR) is the number of respirations or movements that determine inspiration and expiration calculated in breaths per minute (BrPM)....
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A Comparative Study of ECG-derived Respiration in Ambulatory Monitoring using the Single-lead ECG
Cardiorespiratory monitoring is crucial for the diagnosis and management of multiple conditions such as stress and sleep disorders. Therefore, the...
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Improved Bivariate-VAR Model for Extraction of Respiratory Information from Artifact Corrupted ECG and PPG Signals
In general in ICUs, operation theatres, post-operative critical care units, and even ambulatory monitors, the patients are continuously examined with...
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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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A fine-grained convolutional recurrent model for obstructive sleep apnea detection
Obstructive Sleep Apnea (OSA) is a prevalent sleep-related breathing disorder that leads to various health issues such as hypertension, heart...
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Cardiopulmonary Coupling
Cardiopulmonary coupling (CPC) in a generic sense occurs in a number of ways during sleep, the most commonly studied being the variation of heart...
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Single-lead ECG based autonomic nervous system assessment for meditation monitoring
We propose a single-lead ECG-based heart rate variability (HRV) analysis algorithm to quantify autonomic nervous system activity during meditation....
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An Efficient Prediction of Obstructive Sleep Apnea Using Hybrid Convolutional Neural Network
Obstructive sleep apnea (OSA) represents a severe sleep disorder, which exhibited during the interruption of the breathing while slee**. It causes...
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A Comparative Analysis Between EDR and Respiration Signal: A Pilot Study with Normal Subjects
Respiration is one of the most vital physiological parameters that should be monitored on a regular basis. Certain changes in respiration often...
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SelANet: decision-assisting selective sleep apnea detection based on confidence score
BackgroundOne of the most common sleep disorders is sleep apnea syndrome. To diagnose sleep apnea syndrome, polysomnography is typically used, but it...
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Sleep Monitoring in Adults Using Wearables and Unobtrusive Technology
Sleep is a complex physiological process that plays a fundamental role in maintaining homeostasis and overall health. It has an internal structure...
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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...
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Respiratory Function Monitor Based on Surface Diaphragm Electromyography
To design a respiratory function monitoring system with surface diaphragm electromyography that can be used to monitor respiratory function in the...
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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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Reconstruction of the respiratory signal through ECG and wrist accelerometer data
Respiratory rate and changes in respiratory activity provide important markers of health and fitness. Assessing the breathing signal without direct...
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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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Data Fusion for Improving Sleep Apnoea Detection from Single-Lead ECG Derived Respiration
This work presents two algorithms for detecting apnoeas from the single-lead electrocardiogram derived respiratory signal (EDR). One of the...
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An Overview of Health Monitoring Systems for Arrhythmia Patients
Cardiac rhythm disorders (arrhythmias) are one of the leading causes of death worldwide. Therefore, the detection and classification of arrhythmias...