Deep learning for predicting respiratory rate from biosignals
In the past decade, deep learning models have been applied to bio-sensors used in a body
sensor network for prediction. Given recent innovations in this field, the prediction accuracy …
sensor network for prediction. Given recent innovations in this field, the prediction accuracy …
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 development of ambulatory …
conditions such as stress and sleep disorders. Therefore, the development of ambulatory …
A wearable bioimpedance chest patch for real-time ambulatory respiratory monitoring
Objective: This paper aims to introduce a wearable solution and a low-complexity algorithm
for real-time continuous ambulatory respiratory monitoring. Methods: A wearable chest patch …
for real-time continuous ambulatory respiratory monitoring. Methods: A wearable chest patch …
Respiratory rate estimation using u-net-based cascaded framework from electrocardiogram and seismocardiogram signals
Objective: At-home monitoring of respiration is of critical urgency especially in the era of the
global pandemic due to COVID-19. Electrocardiogram (ECG) and seismocardiogram (SCG) …
global pandemic due to COVID-19. Electrocardiogram (ECG) and seismocardiogram (SCG) …
RRWaveNet: A Compact End-to-End Multiscale Residual CNN for Robust PPG Respiratory Rate Estimation
P Osathitporn, G Sawadwuthikul… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Respiratory rate (RR) is an important biomarker as RR changes can reflect severe medical
events, such as heart disease, lung disease, and sleep disorders. Unfortunately, standard …
events, such as heart disease, lung disease, and sleep disorders. Unfortunately, standard …
[HTML][HTML] Relationship between central autonomic effective connectivity and heart rate variability: a resting-state fMRI dynamic causal modeling study
The central autonomic network (CAN) serves as a regulatory hub with top-down regulatory
control and integration of bottom-up physiological feedback via the autonomic nervous …
control and integration of bottom-up physiological feedback via the autonomic nervous …
ECG modeling for simulation of arrhythmias in time-varying conditions
The present article proposes an ECG simulator that advances modeling of arrhythmias and
noise by introducing time-varying signal characteristics. The simulator is built around a …
noise by introducing time-varying signal characteristics. The simulator is built around a …
Toward wearable estimation of tidal volume via electrocardiogram and seismocardiogram signals
The current coronavirus disease (COVID-19) pandemic highlights the critical importance of
ubiquitous respiratory health monitoring. The two fundamental elements of monitoring …
ubiquitous respiratory health monitoring. The two fundamental elements of monitoring …
Acute cardiorespiratory coupling impairment in worsening sleep apnea-related intermittent hypoxemia
Objective: Hypoxic load is one of the main characteristics of obstructive sleep apnea (OSA)
contributing to sympathetic overdrive and weakened cardiorespiratory coupling (CRC) …
contributing to sympathetic overdrive and weakened cardiorespiratory coupling (CRC) …
Respiratory rate estimation during walking using a wearable patch with modality attentive fusion
Respiratory rate (RR) is an important vital sign to monitor outside the clinic, particularly
during physiological challenges such as exercise; unfortunately, ambulatory measurement …
during physiological challenges such as exercise; unfortunately, ambulatory measurement …