MSED: A Multi-Modal Sleep Event Detection Model for Clinical Sleep Analysis
Clinical sleep analysis require manual analysis of sleep patterns for correct diagnosis of sleep disorders. However, several studies have shown significant variability in manual scoring of clinically relevant discrete sleep events, such as arousals, leg movements, and sleep disordered breathing (apneas and hypopneas). We investigated whether an automatic method could be used for event detection and if a model trained on all events (joint model) performed better than corresponding event-specific models (single-event models). We trained a deep neural network event detection model on 1653 individual recordings and tested the ...
Source: IEEE Transactions on Biomedical Engineering - August 30, 2023 Category: Biomedical Engineering Source Type: research

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Source: IEEE Transactions on Biomedical Engineering - August 30, 2023 Category: Biomedical Engineering Source Type: research

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Source: IEEE Transactions on Biomedical Engineering - August 30, 2023 Category: Biomedical Engineering Source Type: research

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Source: IEEE Transactions on Biomedical Engineering - August 30, 2023 Category: Biomedical Engineering Source Type: research

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Source: IEEE Transactions on Biomedical Engineering - August 30, 2023 Category: Biomedical Engineering Source Type: research

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Source: IEEE Transactions on Biomedical Engineering - August 30, 2023 Category: Biomedical Engineering Source Type: research

Feasibility of Phase Velocity Imaging Using Multi Frequency Oscillation-Shear Wave Elastography
Conclusions and Significance: These results indicate the advantages of MFO-SWE to improve PV estimation at higher frequencies which could improve viscoelasticity quantification and feature delineation. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - August 30, 2023 Category: Biomedical Engineering Source Type: research

Temporal-Spatial Correlation Attention Network for Clinical Data Analysis in Intensive Care Unit
Recent advancements in medical information technology have enabled electronic health records (EHRs) to store comprehensive clinical data which has ushered healthcare into the era of “big data”. However, medical data are rather complicated, making problem-solving in healthcare be limited in scope and comprehensiveness. The rapid development of deep learning in recent years has opened up opportunities for leveraging big data in healthcare. In this article we introduce a temporal-spatial correlation attention network (TSCAN) to address various clinical characteristic prediction problems, including mortality prediction, le...
Source: IEEE Transactions on Biomedical Engineering - August 30, 2023 Category: Biomedical Engineering Source Type: research

A Fully Electronically Steerable Therapeutic Ultrasound Phased Array With MR-Guidance
Conclusions: Being capable of providing high acoustic power, full electronic steering range in 3D for large volume ablations, this device can provide a safe and efficient treatment option as an outpatient procedure for uterine fibroids and other pelvic and abdominal tumors. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - August 29, 2023 Category: Biomedical Engineering Source Type: research

Incorporating Unresolved Stresses in Blood Damage Modeling: Energy Dissipation More Accurate Than Reynolds Stress Formulation
Conclusion: The Reynolds-stress-based formulation proved unreliable for estimating scalar stresses in our RANS simulations, while the dissipation-based approach provided an accuracy improvement over simply neglecting unresolved stresses. Significance: Our results suggest that dissipation-based inclusion of unresolved stresses should be the preferred choice for blood damage modeling in RANS. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - August 29, 2023 Category: Biomedical Engineering Source Type: research

A Novel Vascular Anastomotic Coupling Device for End-to-End Anastomosis of Arteries and Veins
Conclusion: The FIF-VCD system can potentially replace HS in microsurgery, allowing the safe and effective connection of arteries and veins. Further studies are needed to confirm the clinical viability and effectiveness of the FIF-VCD system. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - August 28, 2023 Category: Biomedical Engineering Source Type: research

Causal Connectivity Network Analysis of Ictal Electrocorticogram With Temporal Lobe Epilepsy Based on Dynamic Phase Transfer Entropy
In this study, we proposed the unified-epoch dynamic causality analysis method to investigate the causal influence dynamics between two brain regions (HPC and LTC) at interictal and ictal phases in the frequency range of 1–500 Hz by introducing the phase transfer entropy (PTE) out/in-ratio and sliding window. We also proposed PTE-based machine learning algorithms to identify epileptogenic zone (EZ). Nine patients with a total of 26 seizures were included in this study. We hypothesized that: 1) HPC is the focus with the stronger causal connectivity than that in LTC in the ictal state at gamma and HFOs bands. 2) Causal con...
Source: IEEE Transactions on Biomedical Engineering - August 25, 2023 Category: Biomedical Engineering Source Type: research

An Extensive-Form Game Paradigm for Visual Field Testing via Deep Reinforcement Learning
Glaucoma is the leading cause of irreversible but preventable blindness worldwide, and visual field testing is an important tool for its diagnosis and monitoring. Testing using standard visual field thresholding procedures is time-consuming, and prolonged test duration leads to patient fatigue and decreased test reliability. Different visual field testing algorithms have been developed to shorten testing time while maintaining accuracy. However, the performance of these algorithms depends heavily on prior knowledge and manually crafted rules that determine the intensity of each light stimulus as well as the termination cri...
Source: IEEE Transactions on Biomedical Engineering - August 24, 2023 Category: Biomedical Engineering Source Type: research

A Wearable Asynchronous Brain-Computer Interface Based on EEG-EOG Signals With Fewer Channels
Conclusion: The experimental results demonstrate the feasibility and practicality of the developed wearable EEG amplifier and BCI system. Significance: Wearable asynchronous BCI systems with fewer channels are possible, indicating that BCI applications can be transferred from the laboratory to real-world scenarios. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - August 24, 2023 Category: Biomedical Engineering Source Type: research

A Novel Enhancement Approach Following MVMD and NMF Separation of Complex Snoring Signals
This article introduces two audio-based methods that efficiently extract an individual's snoring signal, allowing for the analysis of sleep-breathing disorders in a normal sleeping environment without isolating individuals. In the first method, Principal Component Analysis (PCA) identifies the source components from the finite number of modes generated by the decomposition of the snoring mixture using Multivariate Variational Mode Decomposition (MVMD). The second method applies Blind Source Separation (BSS) based on Non-Negative Matrix Factorization (NMF) to separate the single-channel snoring mixture. Furthermore, the dec...
Source: IEEE Transactions on Biomedical Engineering - August 24, 2023 Category: Biomedical Engineering Source Type: research