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Real-Time Intraoperative Sensorimotor Cortex Localization and Consciousness Assessment with the Spatial and Spectral Profile of the Median Nerve Somatosensory Evoked Potentials
Map** the sensorimotor cortex is a critical first step in various applications, including awake craniotomies and invasive brain-computer interface...
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Brain-Computer Interface Research: A State-of-the-Art Summary 11
With brain-computer interfaces (BCIs), people can send information directly from their brains to computers. People can use BCIs to send messages or...
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A Summary of the 2022 BCI Award with Discussion of BCI Trends
The first chapter of this book readers introduced BCIs, the BCI Award Foundation and 2022 jury, the procedures and criteria of the awards, and the 12...
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Kee** Our Eyes on the Prize; Are We Losing Sight of the ‘Why’ in BCI for Neurorehabilitation?
Studies using BCIs based upon non-invasive, scalp recorded electroencephalography (EEG) have consistently demonstrated utility, both as scientific...
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Forecasting Icterus with Machine Learning: An Advanced Classification Model Analysis
Icterus is a medical condition characterized by the yellowing of the skin and sclera caused by the accumulation of bilirubin in the body. There are...
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Understanding Main Drivers of Global Decarbonization
The global energy system is going through a period of historical change in which a large shift in energy sources is taking place. The opportunities...
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Comparison of Linear Model-Based and Nonlinear Model-Free Directional Coupling Measures: Analysis of Cardiovascular and Cardiorespiratory Interactions at Rest and During Physiological Stress
In this work, we present an investigation of the cardiovascular and cardiorespiratory regulatory mechanisms involved during stress responses using...
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Sepsis Detection Using Features Extracted from Photoplethysmography
Sepsis is a life-threatening clinical condition associated with high mortality rates. It is caused by an overreaction of the immune response to an...
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Ten Year Cardiovascular Risk Estimation: A Machine Learning Approach
Cardiovascular disease is one of the most common causes of death in the world. Usual practice in medicine is estimation of 10 years risk of patients...
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A Nanoparticle Tracking Analysis Algorithm for Particle Size Estimation
To improve the accuracy of nanoparticle sizes estimation in polydisperse samples and flowing samples, we discuss a novel nanoparticle tracking...
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Analysis of YAP1 Gene as a Potential Immune-Related Biomarker and Its Relationship with the TAZ Expression
Background: YAP1 is a transcription factor closely related to mechanical stress and participates in the Hippo signal pathway. However, the prognostic...
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An Image Fusion Method Combining the Advantages of Dual-Mode Optical Imaging in Endoscopy
In recent years, endoscopic imaging technology has developed rapidly. Dual-mode optical imaging (DMOI) technology in endoscopy allows for rapid...
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Real-Time Medical Tool Runout Monitor Based on Dual Laser Displacement Sensors
Objective: Robot-assisted drilling or milling is used widely in surgeries concerning bones, which is restricted in precision and safety due to tool...
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Study on the Detection of Vertigo Induced by GVS Based on EEG Signal Feature Binary Classification
Objective: Galvanic Vestibular Stimulation (GVS) is a common method to induce reversible vertigo for the purpose of scientific or clinic study....
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Robot-Assisted Optical Coherence Tomography for Automatic Wide-Field Scanning
Optical coherence tomography (OCT) is a three-dimensional, non-invasive, high-speed imaging modality capable of providing micro-scale tissue images...
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Semantics-Preserved Domain Adaptation with Target Diverse Perturbation and Test Ensembling for Image Segmentation
Despite the remarkable advance in unsupervised cross-domain image segmentation, existing works suffer from two main limitations. They either ignore...
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An Explainable Assessment for Depression Detection Using Frontal EEG
Depression is one of the most common mental diseases that seriously affect people’s daily life. Finding effective and useful biomarkers to early...
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A Software Tool for Anomaly Detection and Labeling of Ventilator Waveforms
Patient-ventilator asynchronies (PVA) during mechanical ventilation can lead to a prolonged duration of ventilation and increased mortality....
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A Nearest Neighbor Propagation-Based Partial Label Learning Method for Identifying Biotypes of Psychiatric Disorders
Diagnoses of psychiatric disorders only based on clinical presentation are less reliable. In clinical practice, it is difficult to distinguish...
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Rapid Virus Detection Using Recombinase Polymerase Amplification Assisted by Computational Amplicon-Complex Spectrum
The detection of respiratory viruses is crucial in the setting of the SARS-CoV-2 outbreak. Recombinase polymerase amplification technology speeds up...