Medical and Biological Engineering and Computing Medical and Biological Engineering and Computing RSS feedThis 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.

Multi-band spatial feature extraction and classification for motor imaging EEG signals based on OSFBCSP-GAO-SVM model
AbstractElectroencephalogram (EEG) is a non-stationary random signal with strong background noise, which makes its feature extraction difficult and recognition rate low. This paper presents a feature extraction and classification model of motor imagery EEG signals based on wavelet threshold denoising. Firstly, this paper uses the improved wavelet threshold algorithm to obtain the denoised EEG signal, divides all EEG channel data into multiple partially overlapping frequency bands, and uses the common spatial pattern (CSP) method to construct multiple spatial filters to extract the characteristics of EEG signals. Secondly, ...
Source: Medical and Biological Engineering and Computing - May 13, 2023 Category: Biomedical Engineering Source Type: research

CML-Cardio: a cascade machine learning model to predict cardiovascular disease risk as a primary prevention strategy
AbstractCardiovascular diseases are among the leading causes of mortality worldwide, with more than 23 million related deaths per year by 2030, according to the World Heart Federation. Although most of these diseases may be prevented, population awareness strategies are still ineffective. In this context, we propose the CML-Cardio tool, a machine learning application to automate the risk classification process of developing CVDs. For this, researchers in our group collected data on diabetes, blood pressure, and other risk factors in a private company. Our final model consists of a cascade system to handle highly imbalanced...
Source: Medical and Biological Engineering and Computing - May 13, 2023 Category: Biomedical Engineering Source Type: research

Artificial intelligence and machine learning as a viable solution for hip implant failure diagnosis —Review of literature and in vitro case study
This study also facilitates the relevance of developing an artificially intelligent implant monitoring methodology that can function with daily patient activities and how it can influence the digital orthopedic diagno sis.Graphical AbstractAI-based non-invasive hip implant monitoring system enabling point-of-care testing (Source: Medical and Biological Engineering and Computing)
Source: Medical and Biological Engineering and Computing - May 13, 2023 Category: Biomedical Engineering Source Type: research

Few-shot learning using explainable Siamese twin network for the automated classification of blood cells
AbstractAutomated classification of blood cells from microscopic images is an interesting research area owing to advancements of efficient neural network models. The existing deep learning methods rely on large data for network training and generating such large data could be time-consuming. Further, explainability is required via class activation mapping for better understanding of the model predictions. Therefore, we developed a Siamese twin network (STN) model based on contrastive learning that trains on relatively few images for the classification of healthy peripheral blood cells using EfficientNet-B3 as the base mode...
Source: Medical and Biological Engineering and Computing - May 13, 2023 Category: Biomedical Engineering Source Type: research

Customizable tubular model for n-furcating blood vessels and its application to 3D reconstruction of the cerebrovascular system
In this study, we show a method that uses 3D image data from magnetic resonance imaging with contrast to create a geometrical reconstruction of the vessels and a parametric description of the reconstructed segments of the vessels. First, the method isolates the vascular system using controlled morphological growing and performs skeleton extraction and optimization. Then, around the optimized skeleton branches, it creates tubular objects optimized for quality and accuracy of matching with the originally isolated vascular data. Finally, it optimizes the joints on n-furcating vessel segments. As a result, the algorithm gives ...
Source: Medical and Biological Engineering and Computing - May 13, 2023 Category: Biomedical Engineering Source Type: research

Colorectal cancer lymph node metastasis prediction with weakly supervised transformer-based multi-instance learning
AbstractLymph node metastasis examined by the resected lymph nodes is considered one of the most important prognostic factors for colorectal cancer (CRC). However, it requires careful and comprehensive inspection by expert pathologists. To relieve the pathologists ’ burden and speed up the diagnostic process, in this paper, we develop a deep learning system with the binary positive/negative labels of the lymph nodes to solve the CRC lymph node classification task. The multi-instance learning (MIL) framework is adopted in our method to handle the whole slide images (WSIs) of gigapixels in size at once and get rid of the l...
Source: Medical and Biological Engineering and Computing - May 13, 2023 Category: Biomedical Engineering Source Type: research

Correction to: Customizable tubular model for n ‑furcating blood vessels and its application to 3D reconstruction of the cerebrovascular system
(Source: Medical and Biological Engineering and Computing)
Source: Medical and Biological Engineering and Computing - May 13, 2023 Category: Biomedical Engineering Source Type: research

Ensemble classifier fostered detection of arrhythmia using ECG data
AbstractElectrocardiogram (ECG) is a non-invasive medical tool that divulges the rhythm and function of the human heart. This is broadly employed in heart disease detection including arrhythmia. Arrhythmia is a general term for abnormal heart rhythms that can be identified and classified into many categories. Automatic ECG analysis is provided by arrhythmia categorization in cardiac patient monitoring systems. It aids cardiologists to diagnose the ECG signal. In this work, an Ensemble classifier is proposed for accurate arrhythmia detection using ECG Signal. Input data are taken from the MIT-BIH arrhythmia dataset. Then th...
Source: Medical and Biological Engineering and Computing - May 5, 2023 Category: Biomedical Engineering Source Type: research

Applying correlation analysis to electrode optimization in source domain
AbstractIn brain computer interface-based neurorehabilitation system, a large number of electrodes may increase the difficulty of signal acquisition and the time consumption of decoding algorithm for motor imagery EEG (MI-EEG). The traditional electrode optimization methods were limited by the low spatial resolution of scalp EEG. EEG source imaging (ESI) was further applied to reduce the number of electrodes, in which either the electrodes covering activated cortical areas were selected, or the reconstructed electrodes of EEGs with higher Fisher scores were retained. However, the activated dipoles do not all contribute equ...
Source: Medical and Biological Engineering and Computing - April 12, 2023 Category: Biomedical Engineering Source Type: research

Automated analysis of finger blood pressure recordings provides insight in determinants of baroreflex sensitivity and heart rate variability —the HELIUS study
AbstractSympathovagal balance is important in the pathogenesis of hypertension and independently associated with mortality. We evaluated the value of automated analysis of cross-correlation baroreflex sensitivity (xBRS) and heart rate variability (HRV) and its relationship with clinical covariates in 13,326 participants from the multi-ethnic HELIUS study. Finger blood pressure (BP) was continuously recorded, from which xBRS, standard deviation of normal-to-normal intervals (SDNN), and squared root of mean squared successive difference between normal-to-normal intervals (RMSDD) were determined. A subset of  3356 recordings...
Source: Medical and Biological Engineering and Computing - April 12, 2023 Category: Biomedical Engineering Source Type: research

Microwave ablation trocar for ablating cancerous tumors: a numerical analysis
AbstractMicrowave ablation (MWA) is a newly developing minimally invasive thermal therapies technology. The ablation region obtained during MWA mainly depends on the type and efficiency of the trocar as well as the energy transfer from the generator to the biological tissue. In the present article, a novel trocar for MWA therapies has been proposed. A 3-dimensional tumor-embedded hepatic gland ablated with the novel MWA trocar has been numerically analyzed using finite element method –based software. The novel trocar consists of a flexible dual tine supplied with a microwave power of 15 W at 2.45/6 GHz for an ablation ...
Source: Medical and Biological Engineering and Computing - April 12, 2023 Category: Biomedical Engineering Source Type: research

How does computed tomography inform our understanding of shoulder kinematics? A structured review
The objective of this structured review was to review how computed tomography (CT) scanning has been used to measure the kinematics of the shoulder. A literature search was conducted using Evidence-based Medicine Reviews (Embase) and PubMed. In total, 29 articles were included in the data extraction process. Forty percent of the studies evaluated healthy participants ’ shoulder kinematics. The glenohumeral joint was the most studied, followed by the scapulothoracic, acromioclavicular, and sternoclavicular joints. Three-dimensional computed tomography (3DCT) and 3DCT with biplane fluoroscopy are the two primary imaging te...
Source: Medical and Biological Engineering and Computing - April 12, 2023 Category: Biomedical Engineering Source Type: research

Wrist autonomy based on upper-limb synergy: a pilot study
AbstractIncorporating an electrically powered wrist can largely improve the dexterity of a prosthetic hand when grasping various objects; however, it also intensifies the difficulty of the hand ’s operation due to the introduction of extra degrees of freedom (DOFs). The mechanism of multi-joint synergy in human body movements provides a new sight to solve this problem. In this paper, focusing on four typical manipulation activities of daily life (ADLs), 10 upper-limb joint angles were co llected and analyzed first to verify the existence of synergy. Then, a linear regression model was established to predict the wrist rot...
Source: Medical and Biological Engineering and Computing - April 12, 2023 Category: Biomedical Engineering Source Type: research

Fog-cloud architecture-driven Internet of Medical Things framework for healthcare monitoring
In this study, an Internet of Medical Things (IoMT) framework consisting of Wireless Body Area Networks (WBANs) has been designed and the health big data from WBANs have been analyzed using fog and cloud computing technologies. Fog computing is used for fast and easy analysis, and cloud computing is used for time-consuming and complex analysis. The proposed IoMT framework is presented with a diabetes prediction scenario. The diabetes prediction process is carried out on fog with fuzzy logic decision-making and is achieved on cloud with support vector machine (SVM), random forest (RF), and artificial neural network (ANN) as...
Source: Medical and Biological Engineering and Computing - April 12, 2023 Category: Biomedical Engineering Source Type: research

Encoder-decoder network with RMP for tongue segmentation
AbstractTongue and its movements can be used for several medical-related tasks, such as identifying a disease and tracking a rehabilitation. To be able to focus on a tongue region, the tongue segmentation is needed to compute a region of interest for a further analysis. This paper proposes an encoder-decoder CNN-based architecture for segmenting a tongue in an image. The encoder module is mainly used for the tongue feature extraction, while the decoder module is used to reconstruct a segmented tongue from the extracted features based on training images. In addition, the residual multi-kernel pooling (RMP) is also applied i...
Source: Medical and Biological Engineering and Computing - April 12, 2023 Category: Biomedical Engineering Source Type: research