Medical and Biological Engineering and Computing This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

Design of ear-contactless stethoscope and improvement in the performance of deep learning based on CNN to classify the heart sound
AbstractCardiac-related disorders are rapidly growing throughout the world. Accurate classification of cardiovascular diseases is an important research topic in healthcare. During COVID-19, auscultating heart sounds was challenging as health workers and doctors wear protective clothing, and direct contact with patients can spread the outbreak. Thus, contactless auscultation of heart sound is necessary. In this paper, a low-cost ear contactless stethoscope is designed where auscultation is done with the help of a bluetooth-enabled micro speaker instead of an earpiece. The PCG recordings are further compared with other stand...
Source: Medical and Biological Engineering and Computing - August 10, 2023 Category: Biomedical Engineering Source Type: research

Deep convolutional neural network for hippocampus segmentation with boundary region refinement
In conclusion, our study proposes a novel method for hippocampus segmentation, which improves upon the current state-of-the-art methods. By incorporating a boundary refinement step, our approach achieves higher accuracy in hippocampus segmentation and may facilitate research on brain disorders.Graphical Abstract (Source: Medical and Biological Engineering and Computing)
Source: Medical and Biological Engineering and Computing - August 10, 2023 Category: Biomedical Engineering Source Type: research

3D vessel extraction using a scale-adaptive hybrid parametric tracker
Abstract3D vessel extraction has great significance in the diagnosis of vascular diseases. However, accurate extraction of vessels from computed tomography angiography (CTA) data is challenging. For one thing, vessels in different body parts have a wide range of scales and large curvatures; for another, the intensity distributions of vessels in different CTA data vary considerably. Besides, surrounding interfering tissue, like bones or veins with similar intensity, also seriously affects vessel extraction. Considering all the above imaging and structural features of vessels, we propose a new scale-adaptive hybrid parametri...
Source: Medical and Biological Engineering and Computing - August 10, 2023 Category: Biomedical Engineering Source Type: research

Effect of 3D paradigm synchronous motion for SSVEP-based hybrid BCI-VR system
AbstractA brain-computer interface (BCI) system and virtual reality (VR) are integrated as a more interactive hybrid system (BCI-VR) that allows the user to manipulate the car. A virtual scene in the VR system that is the same as the physical environment is built, and the object ’s movement can be observed in the VR scene. The four-class three-dimensional (3D) paradigm is designed and moves synchronously in virtual reality. The dynamic paradigm may affect their attention according to the experimenters’ feedback. Fifteen subjects in our experiment steered the car accordi ng to a specified motion trajectory. According to...
Source: Medical and Biological Engineering and Computing - August 10, 2023 Category: Biomedical Engineering Source Type: research

Portable deep-learning decoder for motor imaginary EEG signals based on a novel compact convolutional neural network incorporating spatial-attention mechanism
In this study, we proposed a high-accuracy MI EEG decoder by incorporating spatial-attention mechanism into convolution neural network (CNN), and deployed it on fully integrated single-chip microcontroller unit (MCU). After the CNN model was trained on workstation computer using GigaDB MI datasets (52 subjects), its parameters were then extracted and converted to build deep-learning architecture interpreter on MCU. For comparison, EEG-Inception model was also trained using the same dataset, and was deployed on MCU. The results indicate that our deep-learning model can independently decode imaginary left-/right-hand motions...
Source: Medical and Biological Engineering and Computing - August 10, 2023 Category: Biomedical Engineering Source Type: research

Finite element analysis of the influence of interdigitation pattern and collagen fibers on the mechanical behavior of the midpalatal suture
The objective of this research was to observe the influence of interdigitation and collagen fibers on the mechanical response of MPS. To this end, a finite element analysis in two-dimensional models of the bone-suture-bone interface was performed considering the characteristics of the MPS. The geometry of the suture was modeled with 4 different levels of interdigitation: null, moderate, scalloped and fractal. The influence of collagen fibers, aligned transversely along the suture, was considered by incorporating linked structures of the bone fronts. According to the results, the factor that has the greatest impact on the m...
Source: Medical and Biological Engineering and Computing - August 10, 2023 Category: Biomedical Engineering Source Type: research

A robust walking detection algorithm using a single foot-worn inertial sensor: validation in real-life settings
In this study, we aim to validate a robust walking detection algorithm using a single foot-worn inertial measurement unit (IMU) in real-life settings. We used a challenging dataset including 18 individuals performing free-living activities. A multi-sensor wearable system including pressure insoles, multiple IMUs, and infrared distance sensors (INDIP) was used as reference. Accurate walking detection was obtained, with sensitivity and specificity of 98 and 91% respectively. As robust walking detection is needed for ambulatory monitoring to complete the processing pipeline from raw recorded data to walking/mobility outcomes,...
Source: Medical and Biological Engineering and Computing - August 10, 2023 Category: Biomedical Engineering Source Type: research

Segmentation of rectal tumor from multi-parametric MRI images using an attention-based fusion network
This study presents an attention-based multi-modal fusion module to effectively integrate complementary information from different MRI images and suppress redundancy. In addition, a deep learning –based segmentation model (AF-UNet) is designed to achieve accurate segmentation of rectal tumors. This model takes multi-parametric MRI images as input and effectively integrates the features from different multi-parametric MRI images by embedding the attention fusion module. Finally, three types of MRI images (T2, ADC, DWI) of 250 patients with rectal cancer were collected, with the tumor regions delineated by two oncologists....
Source: Medical and Biological Engineering and Computing - August 10, 2023 Category: Biomedical Engineering Source Type: research

CervicoXNet: an automated cervicogram interpretation network
This study proposed an automated cervicogram interpretation using explainable convolutional neural networks named “CervicoXNet” to support medical workers decision. The total number of 779 cervicograms was used for the learning process: 487 w ith VIA ( +) and 292 with VIA ( −). We performed data augmentation process under a geometric transformation scenario, such process produces 7325 cervicogram with VIA ( −) and 7242 cervicogram with VIA ( +). The proposed model outperformed other deep learning models, with 99.22% accuracy, 100% sensitivity, and 98.28% specificity. Moreover, to test the robustness of the ...
Source: Medical and Biological Engineering and Computing - August 10, 2023 Category: Biomedical Engineering Source Type: research

An efficient online peak detection algorithm for synchronized intestinal electrical stimulation and its application for treating diabetes
In conclusion, the developed algorithm is adequate for on-line peak detection of the intestinal slow waves; the SIES method used the developed peak detection algorithm which is effective in reducing postprandial blood glucose in a rodent model of hyperglycemia.Graphical Abstract (Source: Medical and Biological Engineering and Computing)
Source: Medical and Biological Engineering and Computing - August 10, 2023 Category: Biomedical Engineering Source Type: research

Deformable registration of lung 3DCT images using an unsupervised heterogeneous multi-resolution neural network
AbstractLung image registration is more challenging than other organs. This is because the breath of the human body causes large deformations in the lung parenchyma and small deformations in tissues such as the pulmonary vascular. Many studies have recently used multi-resolution networks to solve the lung registration problem. However, they use the same structure of registration modules on each level, which makes it difficult to handle complex and small deformations. We propose an unsupervised heterogeneous multi-resolution network (UHMR-Net) to overcome the above problem. The image detail registration module (IDRM) is des...
Source: Medical and Biological Engineering and Computing - August 10, 2023 Category: Biomedical Engineering Source Type: research

A variable dimensional chaotic map-based medical image encryption algorithm with multi-mode
AbstractSince the COVID-19 pandemic, telemedicine or non-face-to-face medicine has increased significantly. In practice, various types of medical images are essential to achieve effective telemedicine. Medical image encryption algorithms play an irreplaceable role in the fast and secure transmission and storage of these medical images. However, most of the existing medical image encryption algorithms are full encryption algorithms, which are inefficient and time-consuming, so they are not suitable for emergency medical scenarios. To improve the efficiency of encryption, a small number of works have focused on partial or se...
Source: Medical and Biological Engineering and Computing - August 5, 2023 Category: Biomedical Engineering Source Type: research

Biomechanical analysis of a novel screw system with a variable locking angle in mandible angle fractures
AbstractLocking plates nowadays represent an important treatment in bone trauma and bone healing due to its strong biomechanical properties. The purpose of this study was to both computationally and experimentally validate a novel screw locking system by comparing it to another locking system from state-of-the-art and to apply it in an environment of a fractured mandible. FEA was used to test both systems prior to experimental tests. The systems were locked in the plate holes at 0 °, 10°, 15°, and 20°. Cyclic bending tests and push-out tests were performed in order to determine the stiffness and push-out forces of both...
Source: Medical and Biological Engineering and Computing - August 3, 2023 Category: Biomedical Engineering Source Type: research

An investigation of machine learning algorithms for prediction of lumbar disc herniation
In this study, LDH was predicted using machine learning techniques using measures of the lumbar paraspinal muscles, lumbar vessels cross-s ectional area (CSA), and lumbar sagittal curve. Three hundred and forty-four individuals’ MR scans were prospectively enrolled (264 with LDH and 80 healthy). Predictive factors were the lumbar sagittal curve and the cross-sectional areas of the lumbar paraspinal muscles and vessels from sagittal a nd axial MR images. The measurements have been analyzed via ten different and most common machine learning algorithms by considering a comprehensive parameter tuning and cross-validation pro...
Source: Medical and Biological Engineering and Computing - August 3, 2023 Category: Biomedical Engineering Source Type: research

Defining humeral axial rotation with optical motion capture and inertial measurement units during functional task assessment
The objective of this study is to compare humeral axial rotation measured from two systems (optical motion capture and inertial measurement units (IMUs)) and calculated with two methods (Euler angles and True axial). Motion of torso and dominant humerus of thirty participants free from any upper limb impairments was tracked using both systems. Each participant performed a functional tasks protocol. Humeral axial rotation was calculated with Euler decomposition and the True axial method. Waveforms were compared with two-way ANOVA statistical parametric mapping. A consistent pattern emerged: axial rotation was not different ...
Source: Medical and Biological Engineering and Computing - August 3, 2023 Category: Biomedical Engineering Source Type: research