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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...
Funding of research & innovation in the field of medical technologies and biomedical engineering over the different European framework programmes
Funding of research & innovation in the field of medical technologies and biomedical engineering over the different European framework programmes
To demonstrate the role of the European Framework Programmes for Research & Innovation in supporting the field of ...
Advancement of a RGBW-LED pen for diaphanoscopic illumination with adjustable color and intensity with tests on ex-vivo porcine eyes in terms of retinal risk and correlated color temperature
Advancement of a RGBW-LED pen for diaphanoscopic illumination with adjustable color and intensity with tests on ex-vivo porcine eyes in terms of retinal risk and correlated color temperature
Diaphanoscopic illumination has the disadvantage that the intraocular spectrum is red-shifted due to transmission properti...
A review of emergent intelligent systems for the detection of Parkinson’s disease
A review of emergent intelligent systems for the detection of Parkinson’s disease
Parkinson’s disease (PD) is a neurodegenerative disorder affecting people worldwide. The PD symptoms are divided int...
Sneaky emotions: impact of data partitions in affective computing experiments with brain-computer interfacing
Sneaky emotions: impact of data partitions in affective computing experiments with brain-computer interfacing
Brain-Computer Interfacing (BCI) has shown promise in Machine Learning (ML) for emotion recognition. Unfortunately, how da...
Ultrasound neuromodulation of cultured hippocampal neurons
Ultrasound neuromodulation of cultured hippocampal neurons
Ultrasound is becoming an emerging and promising method for neuromodulation due to its advantage of noninvasiveness and it...
A review of robotic-assisted total hip arthroplasty
A review of robotic-assisted total hip arthroplasty
Total hip arthroplasty (THA) is a successful surgical method for hip replacement but still poses challenges and risks. Rob...
Pupillometry as a window to detect cognitive aging in the brain
Pupillometry as a window to detect cognitive aging in the brain
This study investigated whether there are aging-related differences in pupil dilation (pupillometry) while the cognitive l...
Undersampling and cumulative class re-decision methods to improve detection of agitation in people with dementia
Undersampling and cumulative class re-decision methods to improve detection of agitation in people with dementia
Agitation is one of the most prevalent symptoms in people with dementia (PwD) that can place themselves and the caregiver&...
Learning curve for robot-assisted knee arthroplasty; optimizing the learning curve to improve efficiency
Learning curve for robot-assisted knee arthroplasty; optimizing the learning curve to improve efficiency
The introduction of robot-assisted (RA) systems in knee arthroplasty has challenged surgeons to adopt the new technology i...
Characterization of perception by transcutaneous electrical Stimulation in terms of tingling intensity and temporal dynamics
Characterization of perception by transcutaneous electrical Stimulation in terms of tingling intensity and temporal dynamics
Electrotactile feedback is a cost-effective and versatile method to provide new information or to augment intrinsic tactil...
Spatial and channel attention-based conditional Wasserstein GAN for direct and rapid image reconstruction in ultrasound computed tomography
Spatial and channel attention-based conditional Wasserstein GAN for direct and rapid image reconstruction in ultrasound computed tomography
Ultrasound computed tomography (USCT) is an emerging technology that offers a noninvasive and radiation-free imaging appro...
A comprehensive research setup for monitoring Alzheimer’s disease using EEG, fNIRS, and Gait analysis
A comprehensive research setup for monitoring Alzheimer’s disease using EEG, fNIRS, and Gait analysis
Alzheimer’s disease (AD) has a detrimental impact on brain function, affecting various aspects such as cognition, me...
TSANet: multibranch attention deep neural network for classifying tactile selective attention in brain-computer interfaces
TSANet: multibranch attention deep neural network for classifying tactile selective attention in brain-computer interfaces
Brain-computer interfaces (BCIs) enable communication between the brain and a computer and electroencephalography (EEG) ha...
Towards automatic EEG cyclic alternating pattern analysis: a systematic review
Towards automatic EEG cyclic alternating pattern analysis: a systematic review
This study conducted a systematic review to determine the feasibility of automatic Cyclic Alternating Pattern (CAP) analys...
Comparative study of the SleepImage ring device and polysomnography for diagnosing obstructive sleep apnea
Comparative study of the SleepImage ring device and polysomnography for diagnosing obstructive sleep apnea
Purpose We aim to evaluate the diagnostic performance of the SleepImage Ring device in identifying obstructive sleep apnea...
Development of metasurface based hyperthermia lens applicator for heating of cancerous tissues
Development of metasurface based hyperthermia lens applicator for heating of cancerous tissues
Numerous designs and methods have been examined to improve penetration depth (PD), but there is a need for research to exp...
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