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An optimized EEG-based hybrid deep learning framework for schizophrenia detection
An optimized EEG-based hybrid deep learning framework for schizophrenia detection
Schizophrenia (SCZ) is a severe and persistent mental health condition that profoundly affects individuals, their families...
Microplastics in human body: accumulation, natural clearance, and biomedical detoxification strategies
Microplastics in human body: accumulation, natural clearance, and biomedical detoxification strategies
Microplastics have become ubiquitous in modern environments, entering the human body through multiple pathways, including ...
A multiscale computational model of cardiac electrophysiology for drug-induced pro-arrhythmic risk stratification
A multiscale computational model of cardiac electrophysiology for drug-induced pro-arrhythmic risk stratification
The Comprehensive in vitro Proarrhythmia Assay (CiPA) initiative positions in silico simulations as essential tools for ca...
Evaluation of the porosity and structural stability of 3D-printed porous titanium pedicle screws using finite element analysis
Evaluation of the porosity and structural stability of 3D-printed porous titanium pedicle screws using finite element analysis
Research into the spinal biomechanics of 3D-printed porous titanium pedicle screws (3DPS) has not yet been undertaken. Thi...
Image registration using MR-based synthetic CT (sCT) generated by cycle-consistent adversarial networks
Image registration using MR-based synthetic CT (sCT) generated by cycle-consistent adversarial networks
Image registration involves aligning multiple images within a common coordinate system to determine their geometric transf...
Generative AI for developing foundation models in radiology and imaging: engineering perspectives
Generative AI for developing foundation models in radiology and imaging: engineering perspectives
Recent advances in generative artificial intelligence (AI) have accelerated the development of foundation models—lar...
Deep learning-assisted tools to understand the structural biology of the synapse
Deep learning-assisted tools to understand the structural biology of the synapse
The function of our brain is the result of the balanced interplay between billions of neurons forming a network of enormou...
Advances in artificial vision systems: a comprehensive review of technologies, applications, and future directions
Advances in artificial vision systems: a comprehensive review of technologies, applications, and future directions
This review article focuses on recent advancements and persistent challenges in artificial vision prostheses designed to r...
Biocompatibility assessment of encapsulation materials for micro LED biomedical applications: in vivo and in vitro studies
Biocompatibility assessment of encapsulation materials for micro LED biomedical applications: in vivo and in vitro studies
The integration of Micro Light-Emitting Diodes (µLEDs) into biomedical systems holds significant promise for applicat...
Challenges in functional hydrogel application for chronic tympanic membrane perforation: practical limitations and lessons learned
Challenges in functional hydrogel application for chronic tympanic membrane perforation: practical limitations and lessons learned
Chronic tympanic membrane (TM) perforations often persist due to oxidative stress and hypoxia in the middle ear. A minimal...
Effects of non-invasive trigeminal nerve stimulation frequency and duration on cardiovascular responses
Effects of non-invasive trigeminal nerve stimulation frequency and duration on cardiovascular responses
This study investigated the effects of trigeminal nerve (TN) stimulation on cardiovascular responses in healthy individual...
Intravenous pole-integrated automated urinary status-monitoring technique using image-based artificial intelligence: a simulation study
Intravenous pole-integrated automated urinary status-monitoring technique using image-based artificial intelligence: a simulation study
To improve the long-term monitoring of patients receiving catheterized urination support, it is necessary to develop an au...
An experimental study on estimating sleep period time using accelerometer and electrodermal activity in ring-shaped wearable devices
An experimental study on estimating sleep period time using accelerometer and electrodermal activity in ring-shaped wearable devices
There has been growing interest in sleep tracking technologies utilizing ring-shaped wearable devices. This study aimed to...
The method for quantified analysis and pattern visualization for eye blinking using high-frame-rate video
The method for quantified analysis and pattern visualization for eye blinking using high-frame-rate video
This study proposes a visualization and analysis method for eye blinking pattern using high-frame-rate videos. The high-fr...
Adversarially regularized transformer with channel-wise noise for robust hand gesture recognition using surface electromyography
Adversarially regularized transformer with channel-wise noise for robust hand gesture recognition using surface electromyography
Surface electromyography (sEMG) is a non-invasive method that captures electrical signals through electrodes placed on the...
An open-source compact stimulator for various transcranial and transcutaneous electrical stimulation in preclinical research
An open-source compact stimulator for various transcranial and transcutaneous electrical stimulation in preclinical research
While various transcranial electrical stimulation (tES) and transcutaneous electrical nerve stimulation (TENS) devices dif...
Transcutaneous interference spinal cord stimulation: leadfield-based pareto optimization of electrode montages for improved focality
Transcutaneous interference spinal cord stimulation: leadfield-based pareto optimization of electrode montages for improved focality
This study investigates the feasibility of transcutaneous interferential spinal cord stimulation (tISCS), a novel non-inva...
Advancing neurological disease treatment: a computational approach for fibroblast growth factor detection
Advancing neurological disease treatment: a computational approach for fibroblast growth factor detection
Fibroblast Growth Factor plays a crucial role in neurological health, contributing to neuron protection, injury recovery, ...
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...
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...
Comprehensive simulation study and preliminary results on various shapes of nanopatterns for light extraction improvement in scintillation crystal
Comprehensive simulation study and preliminary results on various shapes of nanopatterns for light extraction improvement in scintillation crystal
Positron Emission Tomography (PET) systems with high spatial resolution and sensitivity suffer from reduced photon transmi...
A novel controllable energy constraints-variational mode decomposition denoising algorithm
A novel controllable energy constraints-variational mode decomposition denoising algorithm
Electrocardiogram (ECG) is mainly utilized for diagnosing heart diseases. However, various noises can influence the diagno...
Dimethylsiloxane polymers for the effective transdermal delivery of Minoxidil in hair loss treatment
Dimethylsiloxane polymers for the effective transdermal delivery of Minoxidil in hair loss treatment
Hair loss affects significant social and psychological well-being issues of the person. Thus, various drugs, ingredients, ...
Enhancement of phonocardiogram segmentation using convolutional neural networks with Fourier transform module
Enhancement of phonocardiogram segmentation using convolutional neural networks with Fourier transform module
The automated identification of the first and second heart sounds (S1 and S2, respectively) in phonocardiogram (PCG) signa...
Abuse-deterrent wearable device with potential for extended delivery of opioid drugs
Abuse-deterrent wearable device with potential for extended delivery of opioid drugs
Unethical attempts to misuse and overdose opioids have led to strict prescription limits, necessitating frequent hospital ...
A wearable approach for Sarcopenia diagnosis using stimulated muscle contraction signal
A wearable approach for Sarcopenia diagnosis using stimulated muscle contraction signal
Sarcopenia is a rapidly rising health concern in the fast-aging countries, but its demanding diagnostic process is a hurdl...
Impacts of medial collateral ligament (MCL) stiffness adjustment on knee joint mechanics in mechanically aligned posterior-substituting (PS) total knee arthroplasty (TKA)
Impacts of medial collateral ligament (MCL) stiffness adjustment on knee joint mechanics in mechanically aligned posterior-substituting (PS) total knee arthroplasty (TKA)
To investigate the biomechanical effects of medial collateral ligament (MCL) stiffness adjustments on knee kinematics̵...
Quantitative analysis of the effect of clothing on the oscillometric waveform envelope and oscillometric blood pressure measurements
Quantitative analysis of the effect of clothing on the oscillometric waveform envelope and oscillometric blood pressure measurements
To ensure accurate blood pressure (BP) measurement, it is important to follow guidelines, such as wearing the cuff on the ...
Automatic prediction of stroke treatment outcomes: latest advances and perspectives
Automatic prediction of stroke treatment outcomes: latest advances and perspectives
Stroke is a major global health problem that causes mortality and morbidity. Predicting the outcomes of stroke interventio...
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