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A deep learning approach for diagnosis of schizophrenia disorder via data augmentation based on convolutional neural network and long short-term memory
A deep learning approach for diagnosis of schizophrenia disorder via data augmentation based on convolutional neural network and long short-term memory
Schizophrenia (SZ) is a severe, chronic mental disorder without specific treatment. Due to the increasing prevalence of SZ...
3D printing redefines microneedle fabrication for transdermal drug delivery
3D printing redefines microneedle fabrication for transdermal drug delivery
Microneedles (MNs) have emerged as an innovative, virtually painless technique for intradermal drug delivery. However, the...
A segmentation-based algorithm for classification of benign and malignancy Thyroid nodules with multi-feature information
A segmentation-based algorithm for classification of benign and malignancy Thyroid nodules with multi-feature information
The aim of this study is to propose a new diagnostic model based on "segmentation + classification" ...
Ultrathin silk nanofiber–carbon nanotube skin tattoos for wirelessly triggered and temperature feedbacked transdermal drug delivery
Ultrathin silk nanofiber–carbon nanotube skin tattoos for wirelessly triggered and temperature feedbacked transdermal drug delivery
Transdermal drug delivery has emerged as an alternative to conventional drug delivery systems as it enables painless and c...
Mobility and anthropometry of the sacroiliac joint: range of motion and morphological characteristics
Mobility and anthropometry of the sacroiliac joint: range of motion and morphological characteristics
The sacroiliac joint (SIJ), a synovial joint with irregular surfaces, is crucial for stabilizing the body and facilitating...
The effects of medial soft tissue release for varus deformity during medial open wedge supramalleolar osteotomy: a cadaveric study
The effects of medial soft tissue release for varus deformity during medial open wedge supramalleolar osteotomy: a cadaveric study
This study was performed to investigate the effects of fibular osteotomy and release of medial soft tissues including post...
Spiking neural networks for biomedical signal analysis
Spiking neural networks for biomedical signal analysis
Artificial intelligence (AI) has had a significant impact on human life because of its pervasiveness across industries and...
Computational analysis on 3D airway model of obstructive sleep apnea patient for optimal maxillomandibular advancement
Computational analysis on 3D airway model of obstructive sleep apnea patient for optimal maxillomandibular advancement
Obstructive sleep apnea (OSA) can have many adverse effects on people’s health, including cognitive decline and high...
Ventral tegmental area deep brain stimulation reverses ethanol-induced dopamine increase in the rat nucleus accumbens
Ventral tegmental area deep brain stimulation reverses ethanol-induced dopamine increase in the rat nucleus accumbens
The neurophysiology of alcohol use disorder (AUD) is complex, but a major contributor to addictive phenotypes is the tende...
A low-complexity and high-frequency ASIC transceiver for an ultrasound imaging system
A low-complexity and high-frequency ASIC transceiver for an ultrasound imaging system
This article presents a high-frequency application-specific integrated circuit (ASIC) transceiver for an ultrasound imagin...
Integrated deep learning approach for generating cross-polarized images and analyzing skin melanin and hemoglobin distributions
Integrated deep learning approach for generating cross-polarized images and analyzing skin melanin and hemoglobin distributions
Cross-polarized images are beneficial for skin pigment analysis due to the enhanced visualization of melanin and hemoglobi...
Quantitative biomechanical analysis in validating a video-based model to remotely assess physical frailty: a potential solution to telehealth and globalized remote-patient monitoring
Quantitative biomechanical analysis in validating a video-based model to remotely assess physical frailty: a potential solution to telehealth and globalized remote-patient monitoring
Assessing physical frailty (PF) is vital for early risk detection, tailored interventions, preventive care, and efficient ...
A wavelet subband based LSTM model for 12-lead ECG synthesis from reduced lead set
A wavelet subband based LSTM model for 12-lead ECG synthesis from reduced lead set
Synthesis of a 12-lead electrocardiogram from a reduced lead set has previously been extensively studied in order to meet ...
Characterization of the phagocytic ability of white blood cells separated using a single curvature spiral microfluidic device
Characterization of the phagocytic ability of white blood cells separated using a single curvature spiral microfluidic device
The present work describes a microfluidic device developed for separating white blood cells (WBCs) for the Nitroblue Tetra...
Evaluation of consumer-grade wireless EEG systems for brain-computer interface applications
Evaluation of consumer-grade wireless EEG systems for brain-computer interface applications
With the growing popularity of consumer-grade electroencephalogram (EEG) devices for health, entertainment, and cognitive ...
A rate-responsive duty-cycling protocol for leadless pacemaker synchronization
A rate-responsive duty-cycling protocol for leadless pacemaker synchronization
Dual-chamber leadless pacemakers (LLPMs) consist of two implants, one in the right atrium and one in the right ventricle. ...
Design and validation of a low-cost photomodulator for in vivo photoactivation of a mGluR5 inhibitor
Design and validation of a low-cost photomodulator for in vivo photoactivation of a mGluR5 inhibitor
Purpose: Severe side effects prevent the utilization of otherwise promising drugs in treatments. These side effects arise ...
Investigation of daily patterns for smartphone keystroke dynamics based on loneliness and social isolation
Investigation of daily patterns for smartphone keystroke dynamics based on loneliness and social isolation
This study examined the relationship between loneliness levels and daily patterns of mobile keystroke dynamics in healthy ...
Optimizing electrode placement for transcranial direct current stimulation in nonsuperficial cortical regions: a computational modeling study
Optimizing electrode placement for transcranial direct current stimulation in nonsuperficial cortical regions: a computational modeling study
Transcranial direct current stimulation (tDCS) is a noninvasive brain stimulation technique for modulating neuronal excita...
Correction to: Funding of research & innovation in the field of medical technologies and biomedical engineering over the different European framework programmes
Correction to: Funding of research & innovation in the field of medical technologies and biomedical engineering over the different European framework programmes
In this article, the section ‘Ethics declarations’ was incomplete. It should have included the following statement: ‘Discl...
Robot-assisted orthopedic surgeries around shoulder joint: where we are?
Robot-assisted orthopedic surgeries around shoulder joint: where we are?
This study aims to comprehensively review the current literatures about robot-assisted techniques for shoulder joint arthr...
Soft tissue surgical robot for minimally invasive surgery: a review
Soft tissue surgical robot for minimally invasive surgery: a review
The current state of soft tissue surgery robots is surveyed, and the key technologies underlying their success are analyze...
Joint spatio-temporal features constrained self-supervised electrocardiogram representation learning
Joint spatio-temporal features constrained self-supervised electrocardiogram representation learning
The electrocardiogram (ECG) measurements with clinical diagnostic labels are intrinsically limited. We propose a generativ...
CIsense: an automated framework for early screening of cerebral infarction using PPG sensor data
CIsense: an automated framework for early screening of cerebral infarction using PPG sensor data
A cerebral infarction (CI), often known as a stroke, is a cognitive impairment in which a group of brain cells perishes fr...
MS-CFNet: a multi-scale clinical studying-based and feature extraction-guided network for breast fibroadenoma segmentation in ultrasonography
MS-CFNet: a multi-scale clinical studying-based and feature extraction-guided network for breast fibroadenoma segmentation in ultrasonography
Segmenting breast tumors in ultrasonography is challenging due to the low image quality and presence of artifacts. Radiolo...
Robotic-assisted foot and ankle surgery: a review of the present status and the future
Robotic-assisted foot and ankle surgery: a review of the present status and the future
The surgical application of robotics has increased significantly since its first application in 1985 for a brain biopsy ac...
The landscape of surgical robotics in orthopedics surgery
The landscape of surgical robotics in orthopedics surgery
Orthopedic surgery is one of the first surgical specialties to apply surgical robotics in clinical practice, which has bec...
Automated blood glucose regulation for nonlinear model of type-1 diabetic patient under uncertainties: GWOCS type-2 fuzzy approach
Automated blood glucose regulation for nonlinear model of type-1 diabetic patient under uncertainties: GWOCS type-2 fuzzy approach
Regulating blood glucose level (BGL) for type-1 diabetic patient (T1DP) accurately is very important issue, an uncontrolle...
Prediction of complications in diabetes mellitus using machine learning models with transplanted topic model features
Prediction of complications in diabetes mellitus using machine learning models with transplanted topic model features
Purpose: This study aims to predict the progression of Diabetes Mellitus (DM) from the clinical notes through machine lear...
Robotic-assisted unicompartmental knee arthroplasty: historical perspectives and current innovations
Robotic-assisted unicompartmental knee arthroplasty: historical perspectives and current innovations
Robotic assisted unicompartmental knee arthroplasty (RAUKA) has emerged as a successful approach for optimizing implant po...
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