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Preclinical evaluation of a surgical assistant robot for use in minimally invasive abdominal surgeries
Preclinical evaluation of a surgical assistant robot for use in minimally invasive abdominal surgeries
In recent years, robotic assistance has become increasingly used and applied in minimally invasive surgeries. A new cooper...
Spinal tissue identification using a Forward-oriented endoscopic ultrasound technique
Spinal tissue identification using a Forward-oriented endoscopic ultrasound technique
The limited imaging depth of optical endoscope restrains the identification of tissues under surface during the minimally ...
Expansion of stereotactic work envelope using transformation matrices and geometric algebra for neurosurgery
Expansion of stereotactic work envelope using transformation matrices and geometric algebra for neurosurgery
Stereotactic systems have traditionally used Cartesian coordinate combined with linear algebraic mathematical models to na...
A high performance heterogeneous hardware architecture for brain computer interface
A high performance heterogeneous hardware architecture for brain computer interface
Brain–computer interface (BCI) has been widely used in human–computer interaction. The introduction of artific...
Unveiling the endocrine connections of NAFLD: evidence from a comprehensive mendelian randomization study
Unveiling the endocrine connections of NAFLD: evidence from a comprehensive mendelian randomization study
NAFLD is gaining recognition as a complex, multifactorial condition with suspected associations with endocrine disorders. ...
Speech-mediated manipulation of da Vinci surgical system for continuous surgical flow
Speech-mediated manipulation of da Vinci surgical system for continuous surgical flow
With the advent of robot-assisted surgery, user-friendly technologies have been applied to the da Vinci surgical system (d...
Driver fatigue recognition using limited amount of individual electroencephalogram
Driver fatigue recognition using limited amount of individual electroencephalogram
This study aims to create a fatigue recognition system that utilizes electroencephalogram (EEG) signals to assess a driver...
Brain-inspired learning rules for spiking neural network-based control: a tutorial
Brain-inspired learning rules for spiking neural network-based control: a tutorial
Robotic systems rely on spatio-temporal information to solve control tasks. With advancements in deep neural networks, rei...
Sensitivity Analysis of Microstrip Patch Antenna Genres: Slotted and Through-hole Microstrip Patch Antenna
Sensitivity Analysis of Microstrip Patch Antenna Genres: Slotted and Through-hole Microstrip Patch Antenna
This paper demonstrates real-time, label-free, contact-based glucose sensor design of inset-fed Microstrip Patch Antenna (...
Assessment of conductive textile-based electrocardiogram measurement for the development of a lonely death prevention system
Assessment of conductive textile-based electrocardiogram measurement for the development of a lonely death prevention system
The rise in individuals living alone in ageing societies raises concerns about social isolation and associated health risk...
A Review for automated classification of knee osteoarthritis using KL grading scheme for X-rays
A Review for automated classification of knee osteoarthritis using KL grading scheme for X-rays
Osteoarthritis (OA) is a musculoskeletal disorder that affects weight-bearing joints like the hip, knee, spine, feet, and ...
Alzheimer’s disease recognition based on waveform and spectral speech signal processing
Alzheimer’s disease recognition based on waveform and spectral speech signal processing
Alzheimer’s disease (AD) is a neurodegenerative disorder with an irreversible progression. Currently, it is diagnose...
Gaussianmorph: deformable medical image registration with Gaussian noise constraints
Gaussianmorph: deformable medical image registration with Gaussian noise constraints
Deep learning-based image registration methods offer advantages of time efficiency and registration outcomes by automatica...
Innovative breast cancer detection using a segmentation-guided ensemble classification framework
Innovative breast cancer detection using a segmentation-guided ensemble classification framework
Breast cancer (BC) remains a significant global health issue, necessitating innovative methodologies to improve early dete...
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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