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An Ensemble Learning System Based on Stacking Strategy for Survival Risk Prediction of Patients with Esophageal Cancer
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Mechanical Work and Metabolic Cost of Walking with Knee-Foot Prostheses: A Study with a Prosthesis Simulator
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Comprehensive Review of Feature Extraction Techniques for sEMG Signal Classification: From Handcrafted Features to Deep Learning Approaches
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Electrocardiogram Signal Compression Using Deep Convolutional Autoencoder with Constant Error and Flexible Compression Rate
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Corrigendum to “Transition Network-Based Analysis of Electrodermal Activity Signals for Emotion Recognition” [IRBM 45 (2024) 100849]
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Real-Time Accuracy Evaluation of Arterial Catheter Transducer Systems
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Potential of Near-Infrared Optical Techniques for Non-invasive Blood Glucose Measurement: A Pilot Study
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Effect of Skeletal Muscle Immobilization on Regional Anisotropic Viscohyperelastic Properties Change in a Rat Model
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IMU Calibration Effect on Lower Limbs Kinematics Against Optical Motion Capture in Post-Stroke Gait
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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
Volume 45, Issue 1, February 2024, 100818Author links open overlay panel, , , , , , Highlights•1 cm diameter full thicknes...
Improved Estimation of Elbow Flexion Angle from IMU Measurements Using Anatomical Constraints
Improved Estimation of Elbow Flexion Angle from IMU Measurements Using Anatomical Constraints
Volume 45, Issue 1, February 2024, 100820Author links open overlay panel, Highlights•Anatomical constraints leveraged for ...
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
Obstetric gynaecology is a field where diagnostic ultrasound has rapidly gained significance, particularly in birth defect...
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 dealing with bio-signals, the expectations is to obtain data that provide a clear insight into what is analyzed. But ...
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...
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
The high prevalence of osteoporosis in postmenopausal women and elderlies has been increasingly drawing attention due to i...
Ultrasound Applications in Ophthalmology: A Review
Ultrasound Applications in Ophthalmology: A Review
The level of energy and its delivery mode give ultrasound a variety of physical effects that can interact with biological ...
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...
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...
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...
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......