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Real-Time Accuracy Evaluation of Arterial Catheter Transducer Systems
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Effect of Skeletal Muscle Immobilization on Regional Anisotropic Viscohyperelastic Properties Change in a Rat Model
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Potential of Near-Infrared Optical Techniques for Non-Invasive Blood Glucose Measurement: A Pilot Study
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IMU Calibration Effect on Lower Limbs Kinematics Against Optical Motion Capture in Post-Stroke Gait
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The R-Vessel-X Project
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Leveraging Action Unit Derivatives for Early-Stage Parkinson's Disease Detection
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Acknowledging our reviewers
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Unlocking cognitive potential: Exploring a virtual environment for cognitive training in healthy aging and mild cognitive impairment
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Objective Assessment of Pull Test Scores in Parkinson's Disease Under Dynamic Conditions
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Comparison of Different Sensor Locations on Freezing-of-Gait Ratio Results
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Biomechanical Effects of Osteoporosis on the Sacroiliac Joint After Lumbosacral Fusion Surgery
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Facial Palsy Characterization Using Dual Regression Trees
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Complementary Split-Ring Resonator for Non-Invasive Diagnosis of Carotid Artery Atherosclerosis: Towards Future in-Vivo Measurements
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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......
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...
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...