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Machine learning based endothelial cell image analysis of patients undergoing descemet membrane endothelial keratoplasty surgery Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2024-03-16 Emine Esra Karaca, Feyza Dicle Işık, Reza Hassanpour, Kasım Oztoprak, Özlem Evren Kemer
Objectives In this study, we developed a machine learning approach for postoperative corneal endothelial cell images of patients who underwent Descemet’s membrane keratoplasty (DMEK). Methods An AlexNet model is proposed and validated throughout the study for endothelial cell segmentation and cell location determination. The 506 images of postoperative corneal endothelial cells were analyzed. Endothelial
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Medical textile implants: hybrid fibrous constructions towards improved performances Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2024-03-11 Malèke Zidi, Foued Khoffi, Elise Girault, Antoinette Eidenschenk, Romain Barbet, Abdel Tazibt, Fréderic Heim, Slah Msahli
Objectives One main challenge for textile implants is to limit the foreign body reaction (FBR) and in particular the fibrosis development once the device is implanted. Fibrotic tissue in-growth depends on the fiber size, the pore size, and the organization of the fibrous construction. Basically, non-woven fibrous assemblies present a more favorable interface to biological tissues than do woven structures
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Hand gesture recognition with deep residual network using Semg signal Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2024-03-08 Abid Saeed Khattak, Azlan bin Mohd Zain, Rohayanti Binti Hassan, Fakhra Nazar, Muhammad Haris, Bilal Ashfaq Ahmed
Objectives To design and develop a classifier, named Sewing Driving Training based Optimization-Deep Residual Network (SDTO_DRN) for hand gesture recognition. Methods The electrical activity of forearm muscles generates the signals that can be captured with Surface Electromyography (sEMG) sensors and includes meaningful data for decoding both muscle actions and hand movement. This research develops
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Structural EEG signal analysis for sleep apnea classification Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2024-03-07 Onur Kocak, Cansel Ficici, Hikmet Firat, Ziya Telatar
Objectives Diagnosing the sleep apnea can be critical in preventing the person having sleep disorder from unhealthy results. The aim of this study is to obtain a sleep apnea scoring approach by comparing parametric and non-parametric power spectral density (PSD) estimation methods from EEG signals recorded from different brain regions (C4–M1 and O2–M1) for transient signal analysis of sleep apnea patients
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A new approach for heart disease detection using Motif transform-based CWT’s time-frequency images with DenseNet deep transfer learning methods Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2024-03-01 Hazret Tekin, Yılmaz Kaya
Objectives: Electrocardiogram (ECG) signals are extensively utilized in the identification and assessment of diverse cardiac conditions, including congestive heart failure (CHF) and cardiac arrhythmias (ARR), which present potential hazards to human health. With the aim of facilitating disease diagnosis and assessment, advanced computer-aided systems are being developed to analyze ECG signals. Methods:
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Self-supervised context-aware correlation filter for robust landmark tracking in liver ultrasound sequences Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2024-02-14 Lin Ma, Junjie Wang, Shu Gong, Libin Lan, Li Geng, Siping Wang, Xin Feng
Objectives Respiratory motion-induced displacement of internal organs poses a significant challenge in image-guided radiation therapy, particularly affecting liver landmark tracking accuracy. Methods Addressing this concern, we propose a self-supervised method for robust landmark tracking in long liver ultrasound sequences. Our approach leverages a Siamese-based context-aware correlation filter network
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Actuators and transmission mechanisms in rehabilitation lower limb exoskeletons: a review Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2024-01-30 Norazam Aliman, Rizauddin Ramli, Mohammad Soleimani Amiri
Research has shown that rehabilitation lower limb exoskeletons (RLLEs) are effective tools for improving recovery or regaining lower limb function. This device interacts with the limbs of patients. Thus, actuators and power transmission mechanisms are the key factors in determining smooth human‒machine interaction and comfort in physical therapy activities. A multitude of distinct technologies have
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Assessment of brain tumor detection techniques and recommendation of neural network Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2024-01-29 Sandeep Dwarkanath Pande, Shaik Hasane Ahammad, Boddapati Taraka Phan Madhav, Kalangi Ruth Ramya, Lassaad K. Smirani, Md. Amzad Hossain, Ahmed Nabih Zaki Rashed
Objectives Brain tumor classification is amongst the most complex and challenging jobs in the computer domain. The latest advances in brain tumor detection systems (BTDS) are presented as they can inspire new researchers to deliver new architectures for effective and efficient tumor detection. Here, the data of the multi-modal brain tumor segmentation task is employed, which has been registered, skull
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Effect of calcium phosphate/bovine serum albumin coated Al2O3–Ti biocomposites on osteoblast response Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2024-01-22 Hamid Reza Sameni, Samaneh Arab, Nesa Doostmohammadi, Marjan Bahraminasab
Objectives The biological performance of aluminum oxide-titanium (Al2O3-Ti) composites requires special attention to achieve improved osteoblastic differentiation, and subsequent osseointegration/strong anchorage with the surrounding bone. Therefore, the aim of this study was to improve them by providing calcium phosphate (Ca-P)/bovine serum albumin (BSA) coating on their surfaces. Methods Ca-P)/BSA
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Computational models of bone fracture healing and applications: a review Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2024-01-18 Monan Wang, Guodong Jiang, Haoyu Yang, Xin Jin
Fracture healing is a very complex physiological process involving multiple events at different temporal and spatial scales, such as cell migration and tissue differentiation, in which mechanical stimuli and biochemical factors assume key roles. With the continuous improvement of computer technology in recent years, computer models have provided excellent solutions for studying the complex process
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Image segmentation of mouse eye in vivo with optical coherence tomography based on Bayesian classification Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2024-01-05 Fei Ma, Shengbo Wang, Yanfei Guo, Cuixia Dai, Jing Meng
Objectives Optical coherence tomography (OCT) is a new imaging technology that uses an optical analog of ultrasound imaging for biological tissues. Image segmentation plays an important role in dealing with quantitative analysis of medical images. Methods We have proposed a novel framework to deal with the low intensity problem, based on the labeled patches and Bayesian classification (LPBC) model
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Crowdsourcing image segmentation for deep learning: integrated platform for citizen science, paid microtask, and gamification Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-12-25 Nicolai Spicher, Tim Wesemeyer, Thomas M. Deserno
Objectives Segmentation is crucial in medical imaging. Deep learning based on convolutional neural networks showed promising results. However, the absence of large-scale datasets and a high degree of inter- and intra-observer variations pose a bottleneck. Crowdsourcing might be an alternative, as many non-experts provide references. We aim to compare different types of crowdsourcing for medical image
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Effect of non-thermal plasma treatment and resin cements on the bond strength of zirconia ceramics with different yttria concentrations Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-12-25 Deniz Ozturk, Nazmiye Sen, Sabire Isler
Objectives To investigate the effect of different surface treatments and resin cements on the shear bond strength of zirconia ceramics with different yttria concentrations. Methods Zirconia blocks characterized by different yttria concentrations [Vita YZ HT (HT), Vita YZ ST (ST) and Vita YZ XT (XT)] were used to prepare disc-shaped specimens (n=252). Specimens prepared to investigate shear bond strength
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Assessing standing balance with MOTI: a validation study Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-12-02 Þorvaldur Skúli Pálsson, Malik Gaardbo, Christian Mikkelsen, Rogerio Pessoto Hirata
Objectives This study aimed to determine the validity and reliability of a new device called MOTI for measuring balance by comparing its performance that with of the gold-standard force platform. Methods The study involved collecting data from both devices in dual- and single-leg standing positions with eyes open and closed and using statistical measures to compare their performance. Results The results
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Estimation of heart rate and respiratory rate by monitoring cardiopulmonary signals with flexible sensor Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-11-15 Jie Chen, Hongcui Qiu, Wentao Zhou, Xuting Huang, Wenjie Yan, Dechun Wang, Weijun Xu
Monitoring of cardiopulmonary signals plays an important role in many clinical applications. A portable magnetic induction cardiopulmonary signal monitoring system with the flexible sensor of double micro-coils is presented in this paper. The detection of cardiopulmonary signals is realized with double micro-coils. The proposed system is safe, non-invasive, simple, and portable compared with traditional
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Impact of the new European medical device regulation: a two-year comparison Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-11-10 Ann-Kathrin Carl, David Hochmann
Objectives In recent years, the European Union has revised its regulatory framework for medical devices, primarily to improve patient safety and public health. The Medical Device Regulation (MDR) is fully applicable since May 2021, strengthening the requirements for all stakeholders. As a result, many companies are facing enormous challenges. The aim of this study was to assess the impact of the MDR
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Hybrid optimization assisted channel selection of EEG for deep learning model-based classification of motor imagery task Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-11-07 K. Venu, P. Natesan
Objectives To design and develop an approach named HC + SMA-SSA scheme for classifying motor imagery task Methods The offered model employs a new method for classifying motor imagery task. Initially, down sampling is deployed to pre-process the incoming signal. Subsequently, “Modified Stockwell Transform (ST) and common spatial pattern (CSP) based features are extracted”. Then, optimal channel selection
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A new approach towards extracorporeal gas exchange and first in vitro results Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-11-06 Foivos Leonidas Mouzakis, Ali Kashefi, Jan Spillner, Stephan Rütten, Khosrow Mottaghy, Flutura Hima
Objectives Extracorporeal life support (ECLS) pertains to therapeutic and prophylactic techniques utilized in a wide range of medical applications, with severe pulmonary diseases being the most prominent cases. Over the past decades, little progress has been made in advancing the basic principles and properties of gas exchangers. Here, in an unconventional approach, dialysis hollow fibers are handled
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CT-based evaluation of tissue expansion in cryoablation of ex vivo kidney Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-11-04 Frank Hübner, Moritz Klaus, Norbert Siedow, Christian Leithäuser, Thomas Josef Vogl
Objectives To evaluate tissue expansion during cryoablation, the displacement of markers in ex vivo kidney tissue was determined using computed tomographic (CT) imaging. Methods CT-guided cryoablation was performed in nine porcine kidneys over a 10 min period. Markers and fiber optic temperature probes were positioned perpendicular to the cryoprobe shaft in an axial orientation. The temperature measurement
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Epileptic EEG patterns recognition through machine learning techniques and relevant time–frequency features Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-10-30 Sahbi Chaibi, Chahira Mahjoub, Wadhah Ayadi, Abdennaceur Kachouri
Objectives The present study is designed to explore the process of epileptic patterns’ automatic detection, specifically, epileptic spikes and high-frequency oscillations (HFOs), via a selection of machine learning (ML) techniques. The primary motivation for conducting such a research lies mainly in the need to investigate the long-term electroencephalography (EEG) recordings’ visual examination process
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Biomechanical comparison of three fixation strategies for radial head fractures: a biomechanical study Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-10-26 Yao-Tung Tsai, Kun-Jhih Lin, Jui-Cheng Lin
Second-generation headless compression screws (HCSs) are commonly used for the fixation of small bones and articular fractures. However, there is a lack of biomechanical data regarding the application of such screws to radial head fractures. This study evaluated the mechanical properties of the fixation of radial head fractures using a single oblique HCS compared with those obtained using a standard
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Probabilistic hierarchical clustering based identification and segmentation of brain tumors in magnetic resonance imaging Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-10-23 Ankit Vidyarthi
The automatic segmentation of the abnormality region from the head MRI is a challenging task in the medical science domain. The abnormality in the form of the tumor comprises the uncontrolled growth of the cells. The automatic identification of the affected cells using computerized software systems is demanding in the past several years to provide a second opinion to radiologists. In this paper, a
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Development of audio-guided deep breathing and auditory Go/No-Go task on evaluating its impact on the wellness of young adults: a pilot study Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-10-19 Eng Keat Kwa, Soon Keng Cheong, Lin Kooi Ong, Poh Foong Lee
Objectives Numerous studies indicate that deep breathing (DB) enhances wellbeing. Multiple deep breathing methods exist, but few employ audio to reach similar results. This study developed audio-guided DB and evaluated its immediate impacts on healthy population via self-created auditory Go/No-Go task, tidal volume changes, and psychological measures. Methods Audio-guided DB with natural sounds to
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Machine learning based hybrid anomaly detection technique for automatic diagnosis of cardiovascular diseases using cardiac sympathetic nerve activity and electrocardiogram Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-10-12 Merve Begum Terzi, Orhan Arikan
Objectives Coronary artery diseases (CADs) are the leading cause of death worldwide and early diagnosis is crucial for timely treatment. To address this, our study presents a novel automated Artificial Intelligence (AI)-based Hybrid Anomaly Detection (AIHAD) technique that combines various signal processing, feature extraction, supervised, and unsupervised machine learning methods. By jointly and simultaneously
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Detection of driver drowsiness level using a hybrid learning model based on ECG signals Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-10-12 Hui Xiong, Yan Yan, Lifei Sun, Jinzhen Liu, Yuqing Han, Yangyang Xu
Objectives Fatigue has a considerable impact on the driver’s vehicle and even the driver’s own operating ability. Methods An intelligent algorithm is proposed for the problem that it is difficult to classify the degree of drowsiness generated by the driver during the driving process. By studying the driver’s electrocardiogram (ECG) during driving, two models were established to jointly classify the
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A portable household detection system based on the combination of bidirectional LSTM and residual block for automatical arrhythmia detection Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-09-28 Zeqiong Huang, Shaohua Yang, Qinhong Zou, Xuliang Gao, Bin Chen
Objectives Arrhythmia is an important component of cardiovascular disease, and electrocardiogram (ECG) is a method to detect arrhythmia. Arrhythmia detection is often paroxysmal, and ECG signal analysis is time-consuming and expensive. We propose a model and device for convenient monitoring of arrhythmia at any time. Methods This work proposes a model combining residual block and bidirectional long-term
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Influence of the skull bone and brain tissue on the sound field in transcranial extracorporeal shock wave therapy: an ex vivo study Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-09-21 Nina Reinhardt, Christoph Schmitz, Stefan Milz, Matías de la Fuente
Objectives Focused ultrasound is mainly known for focal ablation and localized hyperthermia of tissue. During the last decade new treatment options were developed for neurological indications based on blood-brain-barrier opening or neuromodulation. Recently, the transcranial application of shock waves has been a subject of research. However, the mechanisms of action are not yet understood. Hence, it
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Effects of a full-body electrostimulation garment application in a cohort of subjects with cerebral palsy, multiple sclerosis, and stroke on upper motor neuron syndrome symptoms Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-09-12 Andreas Hahn, Susan Moeller, Arne Schlausch, Matilda Ekmann, Gautier de Chelle, Marie Westerlund, Frank Braatz, Winfried Mayr
Objectives Dysfunction of the central nervous system may inflict spastic movement disorder (SMD). Electrical stimuli were identified as promising therapeutic option. Electrical stimulation provided by a 58-electrode full body garment was investigated based on data from regular trial fittings. Methods Data from 72 testees were investigated. Age averages 36.6 (19.8) ys with 44 females. The cohort spans
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Computer-based analysis of the taper connection strength of different revision head and adapter sleeve designs Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-09-12 Johanna Meier, Jessica Hembus, Rainer Bader, Danny Vogel
Objectives Ceramic revision heads, equipped with titanium adapter sleeves, are used in femoral head revision in total hip arthroplasty to avoid ceramic fracture due to the damaged taper. Methods A finite element analysis of the taper connection strength of revision heads with varying head diameters combined with adapter sleeves of different lengths was conducted. The influence of various assembly forces
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Noise reduction and QRS detection in ECG signal using EEMD with modified sigmoid thresholding Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-09-04 Ouahiba Mohguen
Objectives Novel noise reduction and QRS detection algorithms in Electrocardiogram (ECG) signal based on Empirical Mode Decomposition (EMD), Ensemble Empirical Mode Decomposition (EEMD) and the Modified Sigmoid Thresholding Function (MSTF) are proposed in this paper. Methods EMD and EEMD algorithms are used to decompose the noisy ECG signal into series of Intrinsic Mode Functions (IMFs). Then, these
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Surface treatment of PET multifilament textile for biomedical applications: roughness modification and fibroblast viability assessment Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-08-31 Foued Khoffi, Yosri Khalsi, Julie Chevrier, Halima Kerdjoudj, Abdel Tazibt, Fréderic Heim
Objectives The aim of this study was to investigate the potential of tuning the topography of textile surfaces for biomedical applications towards modified cell-substrate interactions. Methods For that purpose, a supercritical Nitrogen N2 jet was used to spray glass particles on multi-filament polyethylene terephthalate (PET) yarns and on woven fabrics. The influence of the jet projection parameters
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A numerical study of palatal snoring Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-08-04 Talha Batuhan Korkut, Ahmed Rachid
Objectives The main purpose of this paper is to investigate the upper airway (oral and/or nasal) with different inhalation speeds and obstruction depths to generate remarkable notes on palatal snoring and obstructive sleep apnea (OSA). Another important aspect is to study different soft palate biomechanical properties and their relationships with different physical parameters on palatal snoring and
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Surface characteristics and wettability of novel gingival col designed 3-D printed dental sectional matrices Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-07-27 Zeynep Ceren Celik, Cigdem Elbek Cubukcu, Halil Celik
Objective The physical properties and wettability of 3-D printed Polyethylene terephthalate – glycol (PET-G) and Poly(lactic) acid (PLA) dental sectional matrices were investigated. Methods Experimental matrices was designed in a rectangular shape one-side depression corresponds to gingival col and without sharp edges and printed on FDM machine Ender Pro 3 (Creality®, Shenzhen, China). The physical
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Correlation between Periotest value and implant stability quotient: a systematic review Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-07-25 Alana Semenzin Rodrigues, Clóvis Lamartine de Moraes Melo Neto, Marcella Santos Januzzi, Daniela Micheline dos Santos, Marcelo Coelho Goiato
Objectives To determine, through clinical studies, whether there is a correlation between the Periotest value (PTV) and the implant stability quotient (ISQ). Content Methods to evaluate the stability of dental implants. Summary A search was performed in the PubMed, Scopus, and Web of Science databases for articles on the proposed subject up to January 29, 2023, using search terms that combined “resonance
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Computational modelling of the graft-tunnel interaction in single-bundle ACL reconstructed knee Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-07-18 Junjun Zhu, Weimin Zhu, Qijie Zhao
Objectives Tunnel enlargement and graft failure are common complications associated with ACL reconstruction. The mechanical interaction between the graft and the tunnel aperture may play a more important role. This study aims to evaluate graft position within femoral tunnel and the graft force under external loads. Methods An FE model of the femur-graft-tibia complex was constructed from CT images
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Biomechanical testing of osteosynthetic locking plates for proximal humeral shaft fractures – a systematic literature review Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-07-05 Christian Halbauer, Felix Capanni, Isabel Bertusch, Andreas Paech, Tobias Merkle, Tomas Da Silva
Proximal humeral shaft fractures can be treated with helically deformed bone plates to reduce the risk of iatrogenic nerve lesion. Controversially to this common surgical technique that was first established in 1999, no biomechanical investigation on humeral helical plating is recorded by other reviews, which focus on proximal fractures exclusively. Does an additional scope for shaft fractures reveal
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Atherosclerosis plaque tissue classification using self-attention-based conditional variational auto-encoder generative adversarial network using OCT plaque image Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-07-04 Kowsalyadevi Jagadeesan, Geetha Palanisamy
Adults with coronary artery disease often have atherosclerosis, this is defined as the accumulation of plaque in the tissues of the arterial wall. Cardiologists utilize optical coherence tomography (OCT), a light-based imaging method, to examine the layers of intracoronary tissue along pathological formations, such as plaque accumulation. Intracoronary cross-sectional images produced by state-of-the-art
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A combined impedance compensation strategy applied to external automatic defibrillators Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-06-24 Qi Qi, Ming Yu, Jianhui Ge, Chuanjun Li, Guang Zhang, Feng Chen
Transthoracic impedance is one of the key factors affecting the success of defibrillation. Impedance compensation technique is used to adjust defibrillation parameters according to the transthoracic impedance of the defibrillator. In this paper, a combined impedance compensation strategy is proposed to address the shortcomings of existing compensation strategies. In order to evaluate the performance
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Instrumented treadmill for run biomechanics analysis: a comparative study Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-06-09 Marco Bravi, Fabio Santacaterina, Federica Bressi, Michelangelo Morrone, Andrea Renzi, Joshua Di Tocco, Emiliano Schena, Silvia Sterzi, Carlo Massaroni
This study aims compare the spatiotemporal and kinematic running parameters obtained by the WalkerView (Tecnobody, Bergamo, Italy) with those recorded by a optoelectronic 3D motion capture system. Seventeen participants were simultaneously recorded by the WalkerView and a motion capture system during running tests on the WalkerView at two different speeds (i.e., 8 km/h and 10 km/h). Per each parameter
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A new method for vital sign detection using FMCW radar based on random body motion cancellation Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-06-08 Shuai Fu, Ming Ling, Zhenhua Li, Long Pan
In this study, we present a new method for acquiring human vital signs using a Range-Doppler matrix (RDM) of FMCW radar data and a Gaussian interpolation algorithm (GIA). First, the RDM is derived by applying a two-dimensional fast Fourier transform (2D-FFT) to the radar data, and the GIA is applied in the Doppler dimension to estimate the target velocity signal. Subsequently, a robust enhanced trend
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Region-wise severity analysis of diabetic plantar foot thermograms Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-06-07 Naveen Sharma, Sarfaraj Mirza, Ashu Rastogi, Satbir Singh, Prasant K. Mahapatra
Objectives Diabetic foot ulcers (DFU) can be avoided if symptoms of diabetic foot complications are detected early and treated promptly. Early detection requires regular examination, which might be limited for many reasons. To identify affected or potentially affected regions in the diabetic plantar foot, the region-wise severity of the plantar foot must be known. Methods A novel thermal diabetic foot
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Biomechanical effects of inclined implant shoulder design in all-on-four treatment concept: a three-dimensional finite element analysis Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-06-07 Taha Aktas, Nurettin Diker
Objectives The aim of the present study was to assess the biomechanical behaviour of using a posterior implant design with inclined shoulder designs in all-on-four treatment via three-dimensional finite element analysis. Methods Implants with standard and inclined shoulder designs were modelled for posterior implants. Implants were positioned into the maxilla and mandible models according to the all-on-four
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Modeling the compliance of the human eye with elastic membranes based on a bionic approach Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-06-06 Lionardo Döbeli, Carsten Haack, Heiko Heim
Objectives Together with the corneoscleral shell the intraocular pressure maintains the shape of the human eyeball and thus ensures both mechanical and optical integrity, whereby the relationship between the intraocular volume and pressure is described by the so-called ocular compliance. The compliance of the human eye is of significance in situations where a variation of the intraocular volume leads
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Extension of the working time of dental composites due to a new type of white operating lamp Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-06-01 Albrecht von Bülow, Ralf Gente, Michael Gente
Objectives Dental composite materials for filling teeth are usually hardened by polymerisation lamps emitting blue light. However, the same wavelength is also emitted by light of dental operating lamps for lighting the oral cavity. Thus, the hardening of the composite is already initiated earlier, shortening the time of formability. The objective of this study is to develop a specific white LED for
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Optimal assist strategy exploration for a direct assist device under stress‒strain dynamics Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-05-24 Li Zijian, Wang Fangqun, Zhu Fenglian, Gao Yu, Wang Shaojun
Objectives The aim of this paper is to introduce a new assist strategy for a direct assist device that can enhance the heart’s pumping efficiency and decrease the chances of myocardial injury in contrast to the conventional assist strategy. Methods We established a finite element model of a biventricular heart, divided the ventricles into several regions, and applied pressure to each region separately
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Revisiting SFA stent technology: an updated overview on mechanical stent performance Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-05-15 Wolfram Schmidt, Christoph Brandt-Wunderlich, Peter Behrens, Christoph Kopetsch, Klaus-Peter Schmitz, Julian Ramin Andresen, Niels Grabow
Objectives The study investigated mechanical parameters of stent systems indicated for treatment of femoropopliteal (FP) arterial disease to support interpretation of clinical results and the related causalities. Methods Eight stent system types of same dimensions were investigated (n=2). Parameters were the profile of stent delivery system (SDS), radiopacity, trackability and pushability, bending
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Effective deep learning classification for kidney stone using axial computed tomography (CT) images Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-05-02 Özlem Sabuncu, Bülent Bilgehan, Enver Kneebone, Omid Mirzaei
Introduction Stone formation in the kidneys is a common disease, and the high rate of recurrence and morbidity of the disease worries all patients with kidney stones. There are many imaging options for diagnosing and managing kidney stone disease, and CT imaging is the preferred method. Objectives Radiologists need to manually analyse large numbers of CT slices to diagnose kidney stones, and this process
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Parameter-based patient-specific restoration of physiological knee morphology for optimized implant design and matching Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-04-27 Sonja Grothues, Ann-Kristin Becker, Benjamin Hohlmann, Klaus Radermacher
Total knee arthroplasty (TKA) patients may present with genetic deformities, such as trochlear dysplasia, or deformities related to osteoarthritis. This pathologic morphology should be corrected by TKA to compensate for related functional deficiencies. Hence, a reconstruction of an equivalent physiological knee morphology would be favorable for detailed preoperative planning and the patient-specific
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Research frontiers of electroporation-based applications in cancer treatment: a bibliometric analysis Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-04-26 Kun Qian, Zilong Zhong
Objectives Electroporation, the breakdown of the biomembrane induced by external electric fields, has increasingly become a research hotspot for its promising related methods in various kinds of cancers. Content In this article, we utilized CiteSpace 6.1.R2 to perform a bibliometric analysis on the research foundation and frontier of electroporation-based applications in cancer therapy. A total of
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Deep neural network to differentiate internet gaming disorder from healthy controls during stop-signal task: a multichannel near-infrared spectroscopy study Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-04-26 Qiwen Wang, Yongkang Li, Hang Su, Na Zhong, Qi Xu, Xiaoou Li
Internet Gaming Disorder (IGD), as one of worldwide mental health issues, leads to negative effects on physical and mental health and has attracted public attention. Most studies on IGD are based on screening scales and subjective judgments of doctors, without objective quantitative assessment. However, public understanding of internet gaming disorder lacks objectivity. Therefore, the researches on
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The impact of right ventricular hemodynamics on the performance of a left ventricular assist device in a numerical simulation model Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-04-26 Titus L. Z. Thut, Anastasios Petrou, Mirko Meboldt, Marianne Schmid Daners, Markus J. Wilhelm
Objectives Left ventricular assist devices (LVADs) have been established as alternative to heart transplantation for patients with end-stage heart failure refractory to medical therapy. Right heart failure (RHF) after LVAD implantation is associated with inferior outcome. Its preoperative anticipation may influence the selection between a pure left ventricular and a biventricular device type and, thus
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A low power respiratory sound diagnosis processing unit based on LSTM for wearable health monitoring Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-04-21 Weixin Zhou, Lina Yu, Ming Zhang, Wan’ang Xiao
Early prevention and detection of respiratory disease have attracted extensive attention due to the significant increase in people with respiratory issues. Restraining the spread and relieving the symptom of this disease is essential. However, the traditional auscultation technique demands a high-level medical skill, and computational respiratory sound analysis approaches have limits in constrained
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Influences of smart glasses on postural control under single- and dual-task conditions for ergonomic risk assessment Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-04-17 Jakob Tenholt, Stella Adam, Martin Laun, Christoph Schiefer, Claudia Terschüren, Volker Harth, Kiros Karamanidis, Ulrich Hartmann, Daniel Friemert
Head worn displays have become increasingly popular at workplaces in logistics and assembly lines in recent years. Such displays are expected to improve productivity and safety at the workplace. However, their impact on balance in the workforce is still an open research question. Therefore, we investigated the influence of the Vuzix M400 and Realwear HMT1 smart glasses on postural control. A laboratory
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A diagnostic method for cardiomyopathy based on multimodal data Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-04-04 Linshan Shen, Xuwei Zhang, Shaobin Huang, Bing Wu, Jingjie Li
Objectives Currently, a multitude of machine learning techniques are available for the diagnosis of hypertrophic cardiomyopathy (HCM) and dilated cardiomyopathy (DCM) by utilizing electrocardiography (ECG) data. However, these methods rely on digital versions of ECG data, while in practice, numerous ECG data still exist in paper form. As a result, the accuracy of the existing machine learning diagnostic
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De- and recellularized urethral reconstruction with autologous buccal mucosal cells implanted in an ovine animal model Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-03-31 Joakim Håkansson, Lachmi Jenndahl, Stina Simonsson, Martin E. Johansson, Karin Larsson, Raimund Strehl, Teresa Olsen Ekerhult
Objectives Patients with urethral stricture due to any type of trauma, hypospadias or gender dysphoria suffer immensely from impaired capacity to urinate and are in need of a new functional urethra. Tissue engineering with decellularization of a donated organ recellularized with cells from the recipient patient has emerged as a promising alternative of advanced therapy medicinal products. The aim of
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Stacked machine learning models to classify atrial disorders based on clinical ECG features: a method to predict early atrial fibrillation Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-03-25 Dhananjay Budaraju, Bala Chakravarthy Neelapu, Kunal Pal, Sivaraman Jayaraman
Objectives Atrial Tachycardia (AT) and Left Atrial Enlargement (LAE) are atrial diseases that are significant precursors to Atrial Fibrillation (AF). There are ML models for ECG classification; clinical features-based classification is required. The suggested work aims to create stacked ML models that categorize Sinus Rhythm (SR), Sinus Tachycardia (ST), AT, and LAE signals based on clinical parameters
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Hyperspectral imaging enables the differentiation of differentially inflated and perfused pulmonary tissue: a proof-of-concept study in pulmonary lobectomies for intersegmental plane mapping Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-03-18 David B. Ellebrecht
Objectives The identification of the intersegmental plane is a major interoperative challenges during pulmonary segmentectomies. The objective of this pilot study is to test the feasibility of lung perfusion assessment by Hyperspectral Imaging for identification of the intersegmental plane. Methods A pilot study (clinicaltrials.org: NCT04784884) was conducted in patients with lung cancer. Measuring
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The effects of heating rate and sintering time on the biaxial flexural strength of monolithic zirconia ceramics Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-03-17 Perihan Oyar, Rukiye Durkan
The strength of zirconia ceramic materials used in restorations is dependent upon sintering. Varying sintering protocols may affect the biaxial flexural strength of zirconia materials. This in vitro study was conducted to investigate the effects of sintering parameters on the biaxial flexural strength of monolithic zirconia. Two different monoblock zirconia ceramics were used. Following coloration
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Active fault tolerant deep brain stimulator for epilepsy using deep neural network Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-03-15 Nambi Narayanan Senthilvelmurugan, Sutha Subbian
Millions of people around the world are affected by different kinds of epileptic seizures. A deep brain stimulator is now claimed to be one of the most promising tools to control severe epileptic seizures. The present study proposes Hodgkin-Huxley (HH) model-based Active Fault Tolerant Deep Brain Stimulator (AFTDBS) for brain neurons to suppress epileptic seizures against ion channel conductance variations
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Stimulation of spinal cord according to recorded theta hippocampal rhythm during rat move on treadmill Biomed. Eng. Biomed. Tech. (IF 1.7) Pub Date : 2023-03-06 Shahin Rouhi, Saeid Rahmani, Faezeh Shanesazzadeh, Tala Ahmadvand, Mahrokh Namazi, Mehdi Fardmanesh, Sahar Kiani
Objectives Several studies have revealed that after spinal cord injury (SCI), in acute and sub-acute phase the spinal cord neurons below the injury are alive and could stimulate by use of electrical pulses. Spinal cord electrical stimulation could generate movement for paralyzed limbs and is a rehabilitation strategy for paralyzed patients. An innovative idea for controlling spinal cord electrical