Wearable cardiorespiratory monitoring with stretchable elastomer optical fiber

B Zha, Z Wang, L Li, X Hu, B Ortega, X Li… - Biomedical Optics …, 2023 - opg.optica.org
This work presents a stretchable elastomer optical fiber sensor incorporated into a belt for
respiratory rate (RR) and heart rate (HR) monitoring. Different materials and shapes of …

Heart rate variability spectrum characteristics in children with sleep apnea

A Martín-Montero, GC Gutiérrez-Tobal… - Pediatric …, 2021 - nature.com
Background Classic spectral analysis of heart rate variability (HRV) in pediatric sleep apnea–
hypopnea syndrome (SAHS) traditionally evaluates the very low frequency (VLF: 0–0.04 …

Bispectral analysis of overnight airflow to improve the pediatric sleep apnea diagnosis

V Barroso-García, GC Gutiérrez-Tobal… - Computers in Biology …, 2021 - Elsevier
Abstract Pediatric Obstructive Sleep Apnea (OSA) is a respiratory disease whose diagnosis
is performed through overnight polysomnography (PSG). Since it is a complex, time …

Bispectral analysis of heart rate variability to characterize and help diagnose pediatric sleep apnea

A Martín-Montero, GC Gutiérrez-Tobal, D Gozal… - Entropy, 2021 - mdpi.com
Pediatric obstructive sleep apnea (OSA) is a breathing disorder that alters heart rate
variability (HRV) dynamics during sleep. HRV in children is commonly assessed through …

Cardiopulmonary coupling indices to assess weaning readiness from mechanical ventilation

P Armañac-Julián, D Hernando, J Lázaro… - Scientific Reports, 2021 - nature.com
The ideal moment to withdraw respiratory supply of patients under Mechanical Ventilation at
Intensive Care Units (ICU), is not easy to be determined for clinicians. Although the …

Validity of the Pneumonitor for RR intervals acquisition for short-term heart rate variability analysis extended with respiratory data in pediatric cardiac patients

JS Gąsior, M Młyńczak, M Rosoł… - Polish Heart …, 2023 - journals.viamedica.pl
Background: Breathing pattern alterations change the variability and spectral content of the
RR intervals (RRi) on electrocardiogram (ECG). However, there is no method to record and …

Automatic identification of asthma from ECG derived respiration using complete ensemble empirical mode decomposition with adaptive noise and principal …

S Sarkar, S Bhattacherjee, P Bhattacharyya… - … Signal Processing and …, 2022 - Elsevier
In spite of the increasing prevalence of asthma worldwide, it often remains underdiagnosed
and untreated, causing permanent damage to lungs. In this scenario, early diagnosis and …

Improving ballistocardiogram-based continuous heart rate variability monitoring: A self-supervised learning approach

C Wu, J Qiu, G Shen - Biomedical Signal Processing and Control, 2024 - Elsevier
Heart rate variability (HRV) is a reliable measure of an individual's physical and mental
fitness. Monitoring HRV over time provides crucial indicators of various health issues and …

Unveiling interpretable key performance indicators in hypoxic response: A system identification approach

J Chen, R Xiao, L Wang, L Zhu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Advances in wireless networks and wearable electronic devices have enabled the
monitoring of massive physiological data for disease diagnosis. In this article, we aim to …

Parasympathetic nervous system: A key role in control and mood disorders in patients with asthma

L Soto-Retes, J Milagro, A Crespo-Lessmann… - Annals of Allergy …, 2024 - Elsevier
Background Patients with severe asthma often have uncontrolled disease and experience
mood disorders, particularly anxiety and depression. The autonomic nervous system (ANS) …