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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...
Machine learning classifier solving the problem of sleep stage imbalance between overnight sleep
Machine learning classifier solving the problem of sleep stage imbalance between overnight sleep
Feature extraction follows the American Academy of Sleep Medicine (AASM) sleep score manually and applies it to machine le...
Energy estimation methods for positron emission tomography detectors composed of multiple scintillators
Energy estimation methods for positron emission tomography detectors composed of multiple scintillators
The performance and image quality of positron emission tomography (PET) systems can be enhanced by strategically employing...
Advanced optimization strategies for combining acoustic features and speech recognition error rates in multi-stage classification of Parkinson’s disease severity
Advanced optimization strategies for combining acoustic features and speech recognition error rates in multi-stage classification of Parkinson’s disease severity
Recent research has made significant progress with definitively identifying individuals with Parkinson’s disease (PD...
ECGEL: a multimodal 12-lead ECG classification model for heart failure prediction
ECGEL: a multimodal 12-lead ECG classification model for heart failure prediction
Cardiovascular diseases (CVD) are the leading cause of death worldwide, with heart failure (HF) being one of the most fata...
Real-time monitoring and quantitative analysis of 3D tumor spheroids using portable cellular imaging system
Real-time monitoring and quantitative analysis of 3D tumor spheroids using portable cellular imaging system
Three-dimensional (3D) tumor spheroid models closely mimic in vivo tumor environment and play a vital role in studying onc...
Evaluation of a silicone-based flexible dry electrode for measuring human bioelectrical signals
Evaluation of a silicone-based flexible dry electrode for measuring human bioelectrical signals
The development of conductive polymer-based dry electrodes with high conductivity is promising for practical applications ...
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...
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