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Study of an Optimization Tool Avoided Bias for Brain-Computer Interfaces Using a Hybrid Deep Learning Model
Study of an Optimization Tool Avoided Bias for Brain-Computer Interfaces Using a Hybrid Deep Learning Model
ObjectiveThis study addresses the challenge of user-specific bias in Brain-Computer Interfaces (BCIs) by proposing a novel...
Exploring Technology-Driven Technology Roadmaps (TRM) for Wearable Biosensors in Healthcare
Exploring Technology-Driven Technology Roadmaps (TRM) for Wearable Biosensors in Healthcare
Recent advancements in medical technology, especially micro- and nanoelectronic wearable technologies, now allow for the r...
A novel QCT-based deep transfer learning approach for predicting stiffness tensor of trabecular bone cubes
A novel QCT-based deep transfer learning approach for predicting stiffness tensor of trabecular bone cubes
Boutroy, S., M. L. Bouxsein, F. Munoz, and P. D. Delmas. 2005. ‘In vivo assessment of trabecular bone microarchitecture......
High-Order Temporal Convolutional Network for Improving Classification Performance of SSVEP-EEG
High-Order Temporal Convolutional Network for Improving Classification Performance of SSVEP-EEG
Modern brain-computer interfaces (BCIs) have developed as an important branch of brain science by connecting the brain neu...
Blockchain-Based Trusted Tracking Smart Sensing Network to Prevent the Spread of Infectious Diseases
Blockchain-Based Trusted Tracking Smart Sensing Network to Prevent the Spread of Infectious Diseases
The consequences of infectious diseases can range from mild illness to severe morbidity and mortality. Outbreaks of infect...
Ultrasound applications in ophthalmology: a review
Ultrasound applications in ophthalmology: a review
A. Bill, « Blood circulation and fluid dynamics in the eye », Physiological Reviews, juill. 1975, doi:...S. F. Byrne et R....
Acknowledging our reviewers
Acknowledging our reviewers
Cookies are used by this site. Cookie SettingsAll content on this site: Copyright © 2024 Elsevier B.V., its licensors, an...
Stylohyoid and posterior digastric recruitment pattern evaluation in swallowing and non-swallowing tasks.
Stylohyoid and posterior digastric recruitment pattern evaluation in swallowing and non-swallowing tasks.
when it comes to bio-signals, expectations are to get data that provide a clear insight into what is analyzed. But the int...
Improved estimation of elbow flexion angle from IMU measurements using anatomical constraints
Improved estimation of elbow flexion angle from IMU measurements using anatomical constraints
Available online 17 January 2024, 100820Author links open overlay panel, Highlights•Anatomical constraints leveraged for p...
2D-3D Reconstruction of a Femur by Single X-Ray Image Based on Deep Transfer Learning Network
2D-3D Reconstruction of a Femur by Single X-Ray Image Based on Deep Transfer Learning Network
Three-dimensional (3D) models of bones are used in various clinical areas. For orthopedic surgeons who specialize in treat...
Comparing Two Bootstrapped Regions in Images: The D-Test
Comparing Two Bootstrapped Regions in Images: The D-Test
ObjectivesMany molecular imaging diagnoses involve comparing two regions of interest (ROIs) in the image or different imag...
Current and future role of HIFU in obstetric gynaecology
Current and future role of HIFU in obstetric gynaecology
Day Baird D, Dunson DB, Hill MC, Cousins D, Schectman JM. High cumulative incidence of uterine leiomyoma in black and...Ma...
Contrast-free High Frame Rate Ultrasound Imaging for Assessment of Vascular Remodeling During Wound Healing
Contrast-free High Frame Rate Ultrasound Imaging for Assessment of Vascular Remodeling During Wound Healing
Burt CW, Fingerhut LA. Injury visits to hospital emergency departments: United States, 1992-95. Vital Health Stat 13....Nu...
Ultrasound Imaging for Wall Shear Stress Measurements
Ultrasound Imaging for Wall Shear Stress Measurements
Chiu JJ, Chien S. Effects of disturbed flow on vascular endothelium: Pathophysiological basis and clinical...Boussel L, Ra...
Efficient Autonomous Lumen Segmentation in Intravascular Optical Coherence Tomography Images: Unveiling the Potential of Polynomial-Regression Convolutional Neural Network
Efficient Autonomous Lumen Segmentation in Intravascular Optical Coherence Tomography Images: Unveiling the Potential of Polynomial-Regression Convolutional Neural Network
Coronary angiography remains the gold standard imaging modality for the examination and treatment guidance of coronary art...
Estimating Fluid Intake Volume using a Novel Vision-Based Approach
Estimating Fluid Intake Volume using a Novel Vision-Based Approach
IntroductionStaying hydrated is an essential aspect of good health for people of all ages. Tracking fluid intake is import...
One-Dimensional Convolutional Multi-branch Fusion Network for EEG-Based Motor Imagery Classification
One-Dimensional Convolutional Multi-branch Fusion Network for EEG-Based Motor Imagery Classification
Stroke is the second leading cause of death and disability [1], [2]. It commonly occurs in the elderly and is prone to hem...
Prediction of Atrial Fibrillation from Sinus-Rhythm Electrocardiograms Based on Deep Neural Networks: Analysis of Time Intervals and Longitudinal Study
Prediction of Atrial Fibrillation from Sinus-Rhythm Electrocardiograms Based on Deep Neural Networks: Analysis of Time Intervals and Longitudinal Study
ObjectiveArtificial Intelligence (AI) in electrocardiogram (ECG) analysis helps to identify persons at risk of developing ...
A Wearable Monitoring Device for COVID-19 Biometric Symptoms Detection
A Wearable Monitoring Device for COVID-19 Biometric Symptoms Detection
BackgroundMonitoring COVID-19 symptoms has become a critical task in controlling the spread of the virus and preventing ho...
Normative data of the external work of individual limbs and of the distribution of joint work during stair crossing
Normative data of the external work of individual limbs and of the distribution of joint work during stair crossing
T. M. Griffin, T. J. Roberts, et R. Kram, « Metabolic cost of generating muscular force in human walking: insights from......
Complete 3D kinematics parameters of the temporo-mandibular joints using in vivo data fusion
Complete 3D kinematics parameters of the temporo-mandibular joints using in vivo data fusion
ObjectivesThe temporo-mandibular joint (TMJ) has implications in vital functions and its disorder prevalence is between 5%...
Early detection of coronary microvascular dysfunction using machine learning algorithm based on vectorcardiography and cardiodynamicsgram features
Early detection of coronary microvascular dysfunction using machine learning algorithm based on vectorcardiography and cardiodynamicsgram features
PurposeAs a main etiology of myocardial ischemia, coronary microvascular dysfunction (CMD) can occur in patients with or w...
Multiscale Passive Mechanical Characterization of Rodent Skeletal Muscle
Multiscale Passive Mechanical Characterization of Rodent Skeletal Muscle
Tatarenko, Y., Pouletaut, P., Chatelin, S., Bensamoun, S.F., 2022. Passive and active mechanical tests at different...Bens...
Identifying Laryngeal Neoplasms in Laryngoscope Images via Deep Learning Based Object Detection: A Case Study on an Extremely Small Data Set
Identifying Laryngeal Neoplasms in Laryngoscope Images via Deep Learning Based Object Detection: A Case Study on an Extremely Small Data Set
In the clinical practice of Otolaryngology, the laryngoscope is the most common and important piece of equipment for the e...
Simplified muscle-recruitment strategy during walking in Parkinson's disease people: a time-frequency analysis of EMG signal
Simplified muscle-recruitment strategy during walking in Parkinson's disease people: a time-frequency analysis of EMG signal
Miranda BR de, Greenamyre JT. CHAPTER 1:Etiology and Pathogenesis of Parkinson's Disease. Oxidative Stress and Redox...Mor...
Opioid Overdose Detection in a Murine Model Using a Custom-Designed Photoplethysmography Device
Opioid Overdose Detection in a Murine Model Using a Custom-Designed Photoplethysmography Device
Substance abuse is a rising epidemic in the United States and has resulted in nearly 92,800 overdose deaths in 2020, of wh...
Design of novel artificial anal sphincter
Design of novel artificial anal sphincter
Fecal incontinence is a common clinical symptom, which defined as the voluntary loss of the body's ability to control stoo...
Biomechanical comparison of the influence of osteoporosis on the lumbar spine after lumbar interbody fusion surgery or non-fusion dynamic stabilization surgery under whole body vibration
Biomechanical comparison of the influence of osteoporosis on the lumbar spine after lumbar interbody fusion surgery or non-fusion dynamic stabilization surgery under whole body vibration
Fritzell P, Hagg O, Wessberg P, Nordwall A. 2001 Volvo Award winner in clinical studies: Lumbar fusion versus...Park P, Ga...
Classification of Moderate and Advanced Alzheimer's patients using Radial Basis Function Based Neural Networks Initialized with Fuzzy Logic
Classification of Moderate and Advanced Alzheimer's patients using Radial Basis Function Based Neural Networks Initialized with Fuzzy Logic
Alzheimer's disease (AD) is a neurodegenerative disorder that accounts for nearly 70% of the estimated over 50 million dem...
A Control Strategy for Pneumatically Powered Below-Hip Orthosis
A disabled lower-limb can be assisted with active or passive exoskeleton for rehabilitation purpose. Moreover, for proper ...
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