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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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Evaluation of a Multimodal Confocal Therapeutic Focused Ultrasound Apparatus: Bridging Cavitation, Thermal Ablation, and Histotripsy in Preclinical Treatments
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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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Corrigendum to “Automatic Detection of Severely and Mildly Infected COVID-19 Patients with Supervised Machine Learning Models” [IRBM 44 (2023) 100725]
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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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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...
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...
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...
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