Article
Engineering, Biomedical
Chao Gao, Yongtao Shi, Chang Zhou, Bangjun Lei, Daisy Thembelihle Mukondiwa
Summary: In this paper, a semi-supervised neural network based on joint tasks is introduced for TRUS image segmentation. By combining confidence information from target localization and semantic segmentation, pseudo-labels are generated for collectively training unlabeled samples. Experimental results show that this approach outperforms other state-of-the-art models in segmentation performance with a smaller dataset, and reducing the coupling between tasks improves accuracy.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
Daniel Kovac, Jiri Mekyska, Vered Aharonson, Pavol Harar, Zoltan Galaz, Steven Rapcsak, Juan Rafael Orozco-Arroyave, Lubos Brabenec, Irena Rektorova
Summary: This study explores the analysis of acoustic speech features in a multilingual context to support the diagnosis of Parkinson's disease. The most discriminative features, such as the prominence of the second formant, monopitch, and the frequency of pauses during text reading, are identified. Classification accuracies range from 67% to 85% depending on the language.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
Andrea Perez-Sanchez, Juan P. Amezquita-Sanchez, Martin Valtierra-Rodriguez, Hojjat Adeli
Summary: Epilepsy, a complex neurological disorder, affects millions of people worldwide. Predicting epileptic seizures is crucial for patient safety. This article presents a novel method using electrocardiogram signals to predict seizures with 93.25% accuracy, twenty minutes before their onset.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
Sen Liu, Jiacheng He, Aiguo Wang, Cuiwei Yang
Summary: In this study, an adaptive system for atrial fibrillation (AF) detection based on electrocardiogram (ECG) was proposed. The system achieved improved accuracy and performance through the use of transfer learning and data augmentation techniques. After model adaptation and post-processing, the detection accuracy was significantly improved. The results demonstrate that this method can promote research on AF detection based on atrial activity.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
Poonam Rani Verma, Ashish Kumar Bhandari
Summary: This article proposes a fully unsupervised approach to brain extraction using a cascaded loss function and leaky ReLU activation function. The brain image is enhanced before extraction, resulting in better skull stripping.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
Kai Huang, Feng Wang, Ye Wang
Summary: This paper proposes a time series representation learning framework based on Time-Wavelet Contrasting (TS-TWC), which pre-trains on unlabeled samples and fine-tunes on a small amount of labeled data. Experimental results demonstrate that the framework is effective in learning transferable representations in pre-training and obtaining discriminative representations in fine-tuning, outperforming state-of-the-art models on most metrics.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
Chester Jar, Andrew Archibald, Monica Gibson, Lindsey Westover
Summary: This study evaluates the ASIST technique for assessing the stability of dental implants. The results show that the ASIST technique can reliably measure the interfacial stiffness of dental implants, which is not significantly influenced by different abutment types. This method may provide an improved non-invasive way to measure the stability of dental implants.
JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS
(2024)
Article
Engineering, Biomedical
Junxiao Wang, Amatjan Sawut, Rena Simayi, Huijun Song, Xueying Jiao
Summary: The development of cost-effective and eco-friendly conductive hydrogels with excellent mechanical properties, self-healing capabilities, and non-toxicity is of great significance in the field of biosensors.
JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS
(2024)
Article
Engineering, Biomedical
Mehdi Jahandardoost, Donald Ricci, Abbas S. Milani, Mohsen Jahandardoost, Dana Grecov
Summary: Tubular flow diverters are important for treating cerebral aneurysms. A new design called VR-eCLIPs has been developed to cover the neck of challenging bifurcation aneurysms. A finite element model has been used to simulate the implantation processes of VR-eCLIPs and assess potential plastic deformation.
JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS
(2024)
Article
Engineering, Biomedical
Ziad Guerfi, Oum keltoum Kribaa, Hanane Djouama
Summary: Hydroxyapatite, a biocompatible and bioactive ceramic material, has been widely studied in fields such as orthopedics and plastic surgery. The use of computational tools, especially density functional theory, has become increasingly important in research. In this study, Hydroxyapatite was synthesized using the double decomposition method and quantum mechanical computations were performed using density functional theory. The experimental and computational results confirmed the successful synthesis of Hydroxyapatite and showed good agreement in spectroscopic characterizations.
JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS
(2024)
Article
Engineering, Biomedical
Xinyao Zhu, Yifan Liu, Jing Ye, Wei Xu, Xuexia Zhao, Tianyan Liu
Summary: This study reveals the adverse effect of acid on dentin in terms of degradation of its fracture toughness. The peritubular dentin plays a significant role in enhancing the dentin's fracture resistance capability. The findings highlight the importance of structural integrity for dentin.
JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS
(2024)
Article
Engineering, Biomedical
Alberto Hernando, Maria Dolores Pelaez-Coca, Eduardo Gil
Summary: This study applied a new algorithm to decompose the photoplethysmogram (PPG) pulse and identified changes in PPG pulse morphology due to pressure. The results showed that there was an increase in amplitude, width, and area values of the PPG pulse, and a decrease in ratios when pressure increased, indicating vasoconstriction. Furthermore, some parameters were found to be related to the pulse-to-pulse interval.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
Himanshu Gupta, Himanshu Singh, Anil Kumar
Summary: Significant progress has been made in the development of artificial consciousness to mimic human intelligence through machine learning. The extraction of inherent information from data using radiomics and texture analysis allows for the classification of lung nodules. The proposed method shows promising performance in classification and has potential applications in the medical field.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
Xueling Zhou, Bingo Wing-Kuen Ling, Waqar Ahmed, Yang Zhou, Yuxin Lin, Hongtao Zhang
Summary: This study proposed a novel approach for sleep stage classification using covariance feature matrix architecture with multivariate phase space reconstruction (MPSR). The method successfully captured the spatial information among various sleep stages and achieved high accuracy in sleep stage tasks without requiring computationally large artifact suppression or a long signal decomposition process.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
Ximing Mai, Jikun Ai, Minghao Ji, Xiangyang Zhu, Jianjun Meng
Summary: Brain-computer interfaces (BCIs) have emerged as a promising technique for individuals with motor disabilities to control external devices. However, one of the challenges is the long transition time when switching to a new target. This study proposed a hybrid BCI that combines steady-state visual evoked potential (SSVEP) and electrooculography (EOG), which significantly reduces the transition time and achieves continuous, fluent control.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
P. V. L. Narasimha Rao, S. Meher
Summary: This study proposes a novel diagnostic method for Parkinson's disease using voice analysis and signal processing. By optimizing the model and employing different classification strategies, high accuracy and good classification results are achieved.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
Mehran Emadi Andani, Zahra Salehi
Summary: Arthritis, a common condition affecting millions of people worldwide, can be challenging to diagnose accurately. This study introduces a novel machine learning-based approach using sound signals to detect knee osteoarthritis, offering high accuracy, speed, and affordability compared to traditional methods.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
Zhenzhong Liu, Yifan Zhou, Laiwang Zheng, Guobin Zhang
Summary: This study proposes a hybrid deep-CNN model (SINet) for real-time surgical instrument detection and segmentation. The method achieves excellent performance in various metrics and shows satisfactory detection performance on both public dataset and simulated surgery platform.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
Zhiwei Ye, Bin Hu, Haigang Sui, Mengqing Mei, Liye Mei, Ran Zhou
Summary: This study introduces a novel approach, the Double-stage Codec Attention Network (DSCA-Net), for automatic and accurate segmentation of cell nuclei. The proposed method innovates in utilizing morphological features, feature selection, and feature fusion, and it demonstrates excellent performance and efficiency in cell nucleus segmentation through evaluation on a large dataset.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
Zakaria Khatar, Dounia Bentaleb, Omar Bouattane
Summary: In this paper, a new method based on deep learning is proposed for the detection of cardiac arrhythmias. The method combines a deep learning model, multi-scale approach, and a carefully designed CBD filter to improve the quality of the ECG signal, enhance the accuracy and reliability of arrhythmia detection, and identify complex patterns in various temporal and spatial dimensions.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
