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Low compression smart clothing for respiratory rate monitoring using a bending angle sensor based on double-layer capacitance
Low compression smart clothing for respiratory rate monitoring using a bending angle sensor based on double-layer capacitance
In chronic respiratory diseases, continuous self-monitoring of vital signs such as respiratory rate aids in the early dete...
Brainsourcing for temporal visual attention estimation
Brainsourcing for temporal visual attention estimation
The concept of temporal visual attention in dynamic contents, such as videos, has been much less studied than its spatial ...
Specialized ECG data augmentation method: leveraging precordial lead positional variability
Specialized ECG data augmentation method: leveraging precordial lead positional variability
Deep learning has demonstrated remarkable performance across various domains. One of the techniques contributing to this s...
Instant gait classification for hip osteoarthritis patients: a non-wearable sensor approach utilizing Pearson correlation, SMAPE, and GMM
Instant gait classification for hip osteoarthritis patients: a non-wearable sensor approach utilizing Pearson correlation, SMAPE, and GMM
This study aims to establish a methodology for classifying gait patterns in patients with hip osteoarthritis without the u...
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 ...
A Riemannian multimodal representation to classify parkinsonism-related patterns from noninvasive observations of gait and eye movements
A Riemannian multimodal representation to classify parkinsonism-related patterns from noninvasive observations of gait and eye movements
Parkinson’s disease is a neurodegenerative disorder principally manifested as motor disabilities. In clinical practi...
The effect of age on ankle versus hip proprioceptive contribution in balance recovery: application of vibratory stimulation for altering proprioceptive performance
The effect of age on ankle versus hip proprioceptive contribution in balance recovery: application of vibratory stimulation for altering proprioceptive performance
While tripping is the leading cause of injurious falls in older adults, the influence of ankle and hip proprioceptive info...
AI-assisted diagnostic approach for the influenza-like illness in children: decision support system for patients and clinicians
AI-assisted diagnostic approach for the influenza-like illness in children: decision support system for patients and clinicians
Influenza-like illnesses (ILI), such as influenza and RSV, pose significant global health burdens, especially in febrile c...
Pressure-volume analysis of thermodynamic workload of voiding - an application in pelvic organ prolapse patients subjected to robotic-assisted sacrocolpopexy
Pressure-volume analysis of thermodynamic workload of voiding - an application in pelvic organ prolapse patients subjected to robotic-assisted sacrocolpopexy
Given objective benefits of robotic-assisted sacrocolpopexy (RSCP) to the voiding function/deficit of patients with pelvic...
Impact of femoral neck system removal after femoral neck fracture healing on biomechanical stability and screw stripping risk
Impact of femoral neck system removal after femoral neck fracture healing on biomechanical stability and screw stripping risk
This study aims to determine whether the removal of the femoral neck system (FNS) after bony union affects the biomechanic...
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 (...
Advanced optimized nonlinear control strategies for prosthetic knee joints
Advanced optimized nonlinear control strategies for prosthetic knee joints
Prosthetic knee joints are at the forefront of medical innovation, serving as crucial tools in restoring mobility and enha...
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. ...
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...
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...
Enhanced model antigen retention in tissue through topical high-frequency ultrasound treatment
Enhanced model antigen retention in tissue through topical high-frequency ultrasound treatment
Reproducible control of tissue delivery and retention of a therapeutic agent facilitates the maximization of the efficacy ...
Graph structure based data augmentation method
Graph structure based data augmentation method
In this paper, we propose a novel graph-based data augmentation method that can generally be applied to medical waveform d...
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...
Enhanced diagnosis of pes planus and pes cavus using deep learning-based segmentation of weight-bearing lateral foot radiographs: a comparative observer study
Enhanced diagnosis of pes planus and pes cavus using deep learning-based segmentation of weight-bearing lateral foot radiographs: a comparative observer study
A weight-bearing lateral radiograph (WBLR) of the foot is a gold standard for diagnosing adult-acquired flatfoot deformity...
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 systematic review of deep learning-based denoising for low-dose computed tomography from a perceptual quality perspective
A systematic review of deep learning-based denoising for low-dose computed tomography from a perceptual quality perspective
Low-dose computed tomography (LDCT) scans are essential in reducing radiation exposure but often suffer from significant i...
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...
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...
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 ...
CT synthesis with deep learning for MR-only radiotherapy planning: a review
CT synthesis with deep learning for MR-only radiotherapy planning: a review
MR-only radiotherapy planning is beneficial from the perspective of both time and safety since it uses synthetic CT for ra...
Excessive propagation of right frontal beta oscillations in patients with a history of major depressive disorder
Excessive propagation of right frontal beta oscillations in patients with a history of major depressive disorder
Patients suffering from various neurological disorders, including major depressive disorder (MDD), often exhibit abnormal ...
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...
Orthopedic surgeon level joint angle assessment with artificial intelligence based on photography: a pilot study
Orthopedic surgeon level joint angle assessment with artificial intelligence based on photography: a pilot study
Accurate assessment of shoulder range of motion (ROM) is crucial for evaluating patient progress. Traditional manual gonio...
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...
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