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View article: Characterizing vascular tone in nocturnal major motor seizures using wearable photoplethysmography
Characterizing vascular tone in nocturnal major motor seizures using wearable photoplethysmography Open
Seizures impact peripheral vascular tone with signs of vasoconstriction that persists into the post-ictal phase.
View article: Detection of nocturnal epileptic seizures using a wearable armband: A deep learning approach combining accelerometry and photoplethysmography signals
Detection of nocturnal epileptic seizures using a wearable armband: A deep learning approach combining accelerometry and photoplethysmography signals Open
Our two-step approach enables accurate, long-term detection of severe nocturnal seizures in home settings. The wearable system provides a practical solution for continuous monitoring and real-time alerts, thus potentially reducing SUDEP ri…
View article: Estimation of Respiratory Effort Through Diaphragmatic Electromyography Features
Estimation of Respiratory Effort Through Diaphragmatic Electromyography Features Open
Respiratory effort is a critical parameter for assessing respiratory function in various pathological conditions such as obstructive sleep apnea (OSA), as well as in patients undergoing respiratory ventilation. Currently, the gold-standard…
View article: Improving central apnea detection in preterm infants: Neural network strategies and clinical impact
Improving central apnea detection in preterm infants: Neural network strategies and clinical impact Open
Larger datasets with more diverse CA distributions are needed to enhance generalization. Neural networks demonstrated potential to improve CA detection and reduce false alarms in NICUs, supporting more accurate monitoring strategies for pr…
View article: Design Strategy of Rebuilding Mining Area Scenic Spot under the Symbiosis Mode of “Ecology-Education”
Design Strategy of Rebuilding Mining Area Scenic Spot under the Symbiosis Mode of “Ecology-Education” Open
Since the new era in China, the long-term traditional rural development path, characterized by the “pollute first, treat later” model, has proven insufficient to meet the needs of sustainable development. The growing contradiction between …
View article: A Two-Dimensional Position and Motion Monitoring System for Preterm Infants Using a Fiber-Optic Pressure-Sensitive Mattress
A Two-Dimensional Position and Motion Monitoring System for Preterm Infants Using a Fiber-Optic Pressure-Sensitive Mattress Open
Monitoring position and movements of preterm infants is important to ensure their well-being and optimal development. This study evaluates the feasibility of a pressure-sensitive fiber-optic mattress (FM), made entirely of plastic, for two…
View article: Overnight maternal heart rate variability for early prediction of gestational diabetes mellitus: a retrospective cohort study
Overnight maternal heart rate variability for early prediction of gestational diabetes mellitus: a retrospective cohort study Open
A reliable early risk prediction of gestational diabetes mellitus (GDM) allows for early lifestyle modifications during pregnancy to reduce the risk of developing GDM. In this retrospective study, we developed a logistic regression machine…
View article: Multi-modal multi-task deep neural networks for sleep disordered breathing assessment using cardiac and audio signals
Multi-modal multi-task deep neural networks for sleep disordered breathing assessment using cardiac and audio signals Open
Results show that combining cardiac and audio signals can enhance the performance of SDB detection and highlight the potential of multi-modal data fusion for further research in this domain.
View article: Brief Analysis of Community Language Learning Method
Brief Analysis of Community Language Learning Method Open
Community Language Learning (CLL) is a humanistic approach to second language acquisition that emphasizes collaboration, emotional support, and learner autonomy. Rooted in psychological counseling principles, CLL fosters a non-threatening …
View article: Non-obtrusive monitoring of obstructive sleep apnea syndrome based on ballistocardiography: a preliminary study
Non-obtrusive monitoring of obstructive sleep apnea syndrome based on ballistocardiography: a preliminary study Open
Introduction Obstructive sleep apnea syndrome (OSAS) degrades sleep quality and is associated with serious health conditions. Instead of the gold-standard polysomnography requiring complex equipment and expertise, a non-obtrusive device su…
View article: Biomedical Signal Processing and Health Monitoring Based on Sensors
Biomedical Signal Processing and Health Monitoring Based on Sensors Open
The healthcare industry is undergoing rapid transformation driven by advancements in Internet of Things (IoT) technologies, particularly in biomedical signal processing and health monitoring [...]
View article: Adversarial Detection with a Dynamically Stable System
Adversarial Detection with a Dynamically Stable System Open
Adversarial detection is designed to identify and reject maliciously crafted adversarial examples(AEs) which are generated to disrupt the classification of target models. Presently, various input transformation-based methods have been deve…
View article: Continuous prediction and clinical alarm management of late-onset sepsis in preterm infants using vital signs from a patient monitor
Continuous prediction and clinical alarm management of late-onset sepsis in preterm infants using vital signs from a patient monitor Open
The proposed AI model, which learns from routinely collected vital signs, has the potential to assist clinicians in the early detection of LOS. Combined with interpretability and clinical alarm management, this model could be better transl…
View article: BSANet: Boundary-aware and scale-aggregation networks for CMR image segmentation
BSANet: Boundary-aware and scale-aggregation networks for CMR image segmentation Open
The accurate segmentation of distinct cardiac regions from cardiac magnetic resonance (CMR) images is pivotal for enhancing the diagnosis and prognosis of heart diseases. However, the complex structure of the heart and the low contrast in …
View article: Movement Quantification in Preterm Infants: Comparing Motion Extraction from ECG Signals and from Pressure Sensitive Fiber Optics Mat
Movement Quantification in Preterm Infants: Comparing Motion Extraction from ECG Signals and from Pressure Sensitive Fiber Optics Mat Open
Monitoring motion in preterm infants is crucial to evaluating their clinical condition and development. However, no quantitative automated method for continuous motion monitoring is currently clinically available, though innovative methods…
View article: Estimating Respiratory Effort through Diaphragmatic Electromyography on Simulated Airway Obstructions
Estimating Respiratory Effort through Diaphragmatic Electromyography on Simulated Airway Obstructions Open
Obstructive sleep apnea (OSA) is characterized by recurrent airflow interruptions during sleep, leading to increased respiratory effort and significant health risks. Currently, the diagnosis is mainly based on nasal flow, oxygen saturation…
View article: A Spatiotemporal Deep-Learning Model for Force Estimation From Surface Electromyography
A Spatiotemporal Deep-Learning Model for Force Estimation From Surface Electromyography Open
The noninvasive estimation of muscle force from muscular activations is of particular interest for different clinical applications, such as prosthesis control and neurorehabilitation. Surface electromyography (sEMG) enables to measure the …
View article: Validation of Three Late-Onset Sepsis Prediction Models in Hospitalized Infants
Validation of Three Late-Onset Sepsis Prediction Models in Hospitalized Infants Open
Late-onset sepsis (LOS) poses a relatively high risk of mortality and morbidity in preterm infants, attributed to their vulnerable immune systems and the complex environment of the neonatal intensive care unit (NICU). Numerous researchers …
View article: Explainable Machine Learning for Central Apnea Detection in Premature Infants
Explainable Machine Learning for Central Apnea Detection in Premature Infants Open
Diagnosis for apnea of prematurity is commonly performed by detecting central apneas (CAs) in the respiratory traces of premature infants. Previous studies reported that up to 65% of CA alarms sounding in clinical practice are false. We re…
View article: Robust arterial compliance estimation with Katz’s fractal dimension of photoplethysmography
Robust arterial compliance estimation with Katz’s fractal dimension of photoplethysmography Open
Arterial compliance (AC) plays a crucial role in vascular aging and cardiovascular disease. The ability to continuously estimate aortic AC or its surrogate, pulse pressure (PP), through wearable devices is highly desirable, given its stron…