生物医学工程学杂志最新文献_第10页

[A study on heart sound classification algorithm based on improved Mel-frequency cepstrum coefficient feature extraction and deep Transformer]. [基于改进mel频率倒谱系数特征提取和deep Transformer的心音分类算法研究]。

生物医学工程学杂志 Pub Date : 2025-10-25 DOI: 10.7507/1001-5515.202502053

Xin Meng, Sunjie Zhang

{"title":"[A study on heart sound classification algorithm based on improved Mel-frequency cepstrum coefficient feature extraction and deep Transformer].","authors":"Xin Meng, Sunjie Zhang","doi":"10.7507/1001-5515.202502053","DOIUrl":"10.7507/1001-5515.202502053","url":null,"abstract":"Heart sounds are critical for early detection of cardiovascular diseases, yet existing studies mostly focus on traditional signal segmentation, feature extraction, and shallow classifiers, which often fail to sufficiently capture the dynamic and nonlinear characteristics of heart sounds, limit recognition of complex heart sound patterns, and are sensitive to data imbalance, resulting in poor classification performance. To address these limitations, this study proposes a novel heart sound classification method that integrates improved Mel-frequency cepstral coefficients (MFCC) for feature extraction with a convolutional neural network (CNN) and a deep Transformer model. In the preprocessing stage, a Butterworth filter is applied for denoising, and continuous heart sound signals are directly processed without segmenting the cardiac cycles, allowing the improved MFCC features to better capture dynamic characteristics. These features are then fed into a CNN for feature learning, followed by global average pooling (GAP) to reduce model complexity and mitigate overfitting. Lastly, a deep Transformer module is employed to further extract and fuse features, completing the heart sound classification. To handle data imbalance, the model uses focal loss as the objective function. Experiments on two public datasets demonstrate that the proposed method performs effectively in both binary and multi-class classification tasks. This approach enables efficient classification of continuous heart sound signals, provides a reference methodology for future heart sound research for disease classification, and supports the development of wearable devices and home monitoring systems.","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"42 5","pages":"1012-1020"},"PeriodicalIF":0.0,"publicationDate":"2025-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12568742/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145393606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

[A method for emotion transition recognition using cross-modal feature fusion and global perception]. [基于跨模态特征融合和全局感知的情绪转移识别方法]。

生物医学工程学杂志 Pub Date : 2025-10-25 DOI: 10.7507/1001-5515.202504040

Lilin Jie, Yangmeng Zou, Zhengxiu Li, Baoliang Lyu, Weilong Zheng, Ming Li

{"title":"[A method for emotion transition recognition using cross-modal feature fusion and global perception].","authors":"Lilin Jie, Yangmeng Zou, Zhengxiu Li, Baoliang Lyu, Weilong Zheng, Ming Li","doi":"10.7507/1001-5515.202504040","DOIUrl":"10.7507/1001-5515.202504040","url":null,"abstract":"Current studies on electroencephalogram (EEG) emotion recognition primarily concentrate on discrete stimulus paradigms under controlled laboratory settings, which cannot adequately represent the dynamic transition characteristics of emotional states during multi-context interactions. To address this issue, this paper proposes a novel method for emotion transition recognition that leverages a cross-modal feature fusion and global perception network (CFGPN). Firstly, an experimental paradigm encompassing six types of emotion transition scenarios was designed, and EEG and eye movement data were simultaneously collected from 20 participants, each annotated with dynamic continuous emotion labels. Subsequently, deep canonical correlation analysis integrated with a cross-modal attention mechanism was employed to fuse features from EEG and eye movement signals, resulting in multimodal feature vectors enriched with highly discriminative emotional information. These vectors are then input into a parallel hybrid architecture that combines convolutional neural networks (CNNs) and Transformers. The CNN is employed to capture local time-series features, whereas the Transformer leverages its robust global perception capabilities to effectively model long-range temporal dependencies, enabling accurate dynamic emotion transition recognition. The results demonstrate that the proposed method achieves the lowest mean square error in both valence and arousal recognition tasks on the dynamic emotion transition dataset and a classic multimodal emotion dataset. It exhibits superior recognition accuracy and stability when compared with five existing unimodal and six multimodal deep learning models. The approach enhances both adaptability and robustness in recognizing emotional state transitions in real-world scenarios, showing promising potential for applications in the field of biomedical engineering.","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"42 5","pages":"977-986"},"PeriodicalIF":0.0,"publicationDate":"2025-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12568737/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145393621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

[Prediction of protein Kbhb sites based on learnable feature embedding]. [基于可学习特征嵌入的蛋白质Kbhb位点预测]。

生物医学工程学杂志 Pub Date : 2025-10-25 DOI: 10.7507/1001-5515.202401005

Zhisen Wei, Zhiwei Wang, Jinyao Yu, Cheng Deng, Dongjun Yu

{"title":"[Prediction of protein Kbhb sites based on learnable feature embedding].","authors":"Zhisen Wei, Zhiwei Wang, Jinyao Yu, Cheng Deng, Dongjun Yu","doi":"10.7507/1001-5515.202401005","DOIUrl":"10.7507/1001-5515.202401005","url":null,"abstract":"Protein lysine β-hydroxybutyrylation (Kbhb) is a newly discovered post-translational modification associated with a wide range of biological processes. Identifying Kbhb sites is critical for a better understanding of its mechanism of action. However, biochemical experimental methods for probing Kbhb sites are costly and have a long cycle. Therefore, a feature embedding learning method based on the Transformer encoder was proposed to predict Kbhb sites. In this method, amino acid residues were mapped into numerical vectors according to their amino acid class and position in a learnable feature embedding method. Then the Transformer encoder was used to extract discriminating features, and the bidirectional long short-term memory network (BiLSTM) was used to capture the correlation between different features. In this paper, a benchmark dataset was constructed, and a Kbhb site predictor, AutoTF-Kbhb, was implemented based on the proposed method. Experimental results showed that the proposed feature embedding learning method could extract effective features. AutoTF-Kbhb achieved an area under curve (AUC) of 0.87 and a Matthews correlation coefficient (MCC) of 0.37 on the independent test set, significantly outperforming other methods in comparison. Therefore, AutoTF-Kbhb can be used as an auxiliary means to identify Kbhb sites.","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"42 5","pages":"1029-1035"},"PeriodicalIF":0.0,"publicationDate":"2025-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12568741/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145393804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

[Experimental study on the treatment of postmenopausal osteoporosis with low-frequency pulsed electromagnetic fields]. 【低频脉冲电磁场治疗绝经后骨质疏松的实验研究】。

生物医学工程学杂志 Pub Date : 2025-10-25 DOI: 10.7507/1001-5515.202501026

Zidong An, Liqiang Wang, Yi Wu, Yongjie Pang, Keming Chen, Yuhai Gao

{"title":"[Experimental study on the treatment of postmenopausal osteoporosis with low-frequency pulsed electromagnetic fields].","authors":"Zidong An, Liqiang Wang, Yi Wu, Yongjie Pang, Keming Chen, Yuhai Gao","doi":"10.7507/1001-5515.202501026","DOIUrl":"10.7507/1001-5515.202501026","url":null,"abstract":"This study aims to investigate the therapeutic efficacy of 50 Hz-0.6 mT low-frequency pulsed electromagnetic field (PEMF) on postmenopausal osteoporosis in ovariectomized rats. Thirty 3-month-old female SD rats were selected and divided into a sham operation group (Sham), an ovariectomized model group (OVX), and a low-frequency pulsed electromagnetic field (PEMF) treatment group, with 10 rats in each group. After 8 weeks, the whole-body bone mineral density (BMD) of each group of rats was measured. The treatment group began to receive PEMF stimulation for 90 minutes daily, while the OVX group only received a simulated placement without electricity. After 6 weeks of intervention, all rats were sacrificed and tested for in vitro BMD, micro-CT, biomechanics, serum biochemical indicators, and bone tissue-related proteins. The results showed that the BMD of the OVX group was significantly lower than that of the Sham group 8 weeks after surgery, indicating successful modeling. After 6 weeks of treatment, compared with the OVX group, the PEMF group exhibited significantly increased BMD in the whole body, femur, and vertebral bodies. Micro-CT analysis results showed improved bone microstructure, significantly increased maximum load and bending strength of the femur, elevated levels of serum bone formation markers, and increased expression of osteogenic-related proteins. In conclusion, this study demonstrates that daily 90-minute exposure to 50 Hz-0.6 mT PEMF effectively enhances BMD, improves bone biomechanical properties, optimizes bone microstructure, stimulates bone formation, and inhibits bone resorption in ovariectomized rats, highlighting its therapeutic potential for postmenopausal osteoporosis.","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"42 5","pages":"1054-1061"},"PeriodicalIF":0.0,"publicationDate":"2025-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12568744/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145393845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

[Three-dimensional printed scaffolds with sodium alginate/chitosan/mineralized collagen for promoting osteogenic differentiation]. [海藻酸钠/壳聚糖/矿化胶原促进成骨分化的三维打印支架]。

生物医学工程学杂志 Pub Date : 2025-10-25 DOI: 10.7507/1001-5515.202501043

Bo Yang, Xiaojie Lian, Haonan Feng, Tingwei Qin, Song Lyu, Zehua Liu, Tong Fu

{"title":"[Three-dimensional printed scaffolds with sodium alginate/chitosan/mineralized collagen for promoting osteogenic differentiation].","authors":"Bo Yang, Xiaojie Lian, Haonan Feng, Tingwei Qin, Song Lyu, Zehua Liu, Tong Fu","doi":"10.7507/1001-5515.202501043","DOIUrl":"10.7507/1001-5515.202501043","url":null,"abstract":"The three-dimensional (3D) printed bone tissue repair guide scaffold is considered a promising method for treating bone defect repair. In this experiment, chitosan (CS), sodium alginate (SA), and mineralized collagen (MC) were combined and 3D printed to form scaffolds. The experimental results showed that the printability of the scaffold was improved with the increase of chitosan concentration. Infrared spectroscopy analysis confirmed that the scaffold formed a cross-linked network through electrostatic interaction between chitosan and sodium alginate under acidic conditions, and X-ray diffraction results showed the presence of characteristic peaks of hydroxyapatite, indicating the incorporation of mineralized collagen into the scaffold system. In the in vitro collagen release experiments, a weakly alkaline environment was found to accelerate the release rate of collagen, and the release amount increased significantly with a lower concentration of chitosan. Cell experiments showed that scaffolds loaded with mineralized collagen could significantly promote cell proliferation activity and alkaline phosphatase expression. The subcutaneous implantation experiment further verified the biocompatibility of the material, and the implantation of printed scaffolds did not cause significant inflammatory reactions. Histological analysis showed no abnormal pathological changes in the surrounding tissues. Therefore, incorporating mineralized collagen into sodium alginate/chitosan scaffolds is believed to be a new tissue engineering and regeneration strategy for achieving enhanced osteogenic differentiation through the slow release of collagen.","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"42 5","pages":"1036-1045"},"PeriodicalIF":0.0,"publicationDate":"2025-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12568745/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145393879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

[Study on the electric field transmission characteristics of conducted-electrode tumor treating fields]. [导电电极肿瘤治疗场的电场传输特性研究]。

生物医学工程学杂志 Pub Date : 2025-10-25 DOI: 10.7507/1001-5515.202503059

Kaida Liu, Junxia Zhang, Jiaqi Shi, Haohan Fang, Xing Li

{"title":"[Study on the electric field transmission characteristics of conducted-electrode tumor treating fields].","authors":"Kaida Liu, Junxia Zhang, Jiaqi Shi, Haohan Fang, Xing Li","doi":"10.7507/1001-5515.202503059","DOIUrl":"10.7507/1001-5515.202503059","url":null,"abstract":"Tumor treating fields (TTF) therapy is an innovative tumor treatment modality. Currently, the TTF devices predominantly employ insulated ceramic electrodes as the electric field transmission medium, resulting in low energy transfer efficiency of the electric field and poor portability of the devices. This study proposed an innovative TTF transmission mode and independently designed a conducted-electrode TTF cell culture dish utilizing inert titanium materials. The electric field conduction characteristics were verified through finite element simulations and experimental tests. Finally, based on the self-manufactured conducted-electrode TTF cell culture dish, experiments on the proliferation inhibition of U87 tumor cells by TTF were conducted. The results demonstrated that under an applied TTF voltage of 10 V and frequency of 200 kHz, the electric field intensities within the medium for conducted and insulated electrodes are approximately 2.5 V/cm and 0.7 V/cm, respectively. Compared to conventional insulated TTF systems, the conducted-electrode TTF configuration exhibited a lower electrode voltage drop and a higher electric field intensity in the culture medium, indicating superior electric field transmission efficiency. Following 36 hours of treatment with conducted-electrode TTF on U87 cells, the proliferation inhibition rate reached approximately 50%, demonstrating effective suppression of tumor cell growth. This approach presents a potential direction for optimizing TTF treatment modality and device design.","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"42 5","pages":"964-969"},"PeriodicalIF":0.0,"publicationDate":"2025-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12568735/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145393898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

[Research on type 2 diabetes prediction algorithm based on photoplethysmography]. 基于光容积脉搏波的2型糖尿病预测算法研究

生物医学工程学杂志 Pub Date : 2025-10-25 DOI: 10.7507/1001-5515.202501006

Mingying Hu, Quanyu Wu, Yifan Cao, Jin Cao, Yifan Zhao, Lin Zhang, Xiaojie Liu

{"title":"[Research on type 2 diabetes prediction algorithm based on photoplethysmography].","authors":"Mingying Hu, Quanyu Wu, Yifan Cao, Jin Cao, Yifan Zhao, Lin Zhang, Xiaojie Liu","doi":"10.7507/1001-5515.202501006","DOIUrl":"10.7507/1001-5515.202501006","url":null,"abstract":"To address the current issues of data imbalance and scarcity in photoplethysmography (PPG) data for type 2 diabetes mellitus (T2DM) prediction, this study proposes an improved conditional Wasserstein generative adversarial network with gradient penalty (CWGAN-GP). The algorithm integrated gated recurrent unit (GRU) networks and self-attention mechanisms to construct a generator, aiming to produce high-quality PPG signals. Various data augmentation methods, including the improved CWGAN-GP, were employed to expand the PPG dataset, and multiple classifiers were applied for T2DM prediction analysis. Experimental results showed that the model trained on data generated by the improved CWGAN-GP achieved the optimal prediction performance. The highest accuracy reached 0.895 0, and compared with other data enhancement methods, this approach exhibited significant advantages in terms of precision and F1-score. The generated data notably enhances the accuracy and generalization ability of T2DM prediction models, providing a more reliable technical basis for non-invasive early T2DM screening based on PPG signals.","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"42 5","pages":"1005-1011"},"PeriodicalIF":0.0,"publicationDate":"2025-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12568732/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145393920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

[The design and application of a genu valgum gait recognition model based on triple attention mechanism and spatial hierarchical pooling strategy]. [基于三注意机制和空间分层池化策略的膝外翻步态识别模型设计与应用]。

生物医学工程学杂志 Pub Date : 2025-10-25 DOI: 10.7507/1001-5515.202504005

Xiaoneng Song, Kun Qian, Xuan Hou, Yizhe Wang

{"title":"[The design and application of a genu valgum gait recognition model based on triple attention mechanism and spatial hierarchical pooling strategy].","authors":"Xiaoneng Song, Kun Qian, Xuan Hou, Yizhe Wang","doi":"10.7507/1001-5515.202504005","DOIUrl":"10.7507/1001-5515.202504005","url":null,"abstract":"To facilitate the early intelligent screening of pediatric genu valgum, this study develops a deep learning-based gait recognition model tailored for clinical application. The model is constructed upon a three-dimensional residual network architecture and incorporates a triplet attention module alongside a spatial hierarchical pooling module, jointly enhancing feature interaction across temporal, spatial, and channel dimensions. This design ensures an optimal balance between representational capacity and computational efficiency. Evaluated on a self-constructed dataset, the model achieves precision of 98.0%, 97.1%, and 96.5%, recall rates of 97.5%, 97.0%, and 95.0%, and F 1-scores of 0.98, 0.97, and 0.96 on the training, validation, and test sets, respectively, demonstrating excellent recognition performance and strong generalization ability. Ablation experiments confirm the importance of the proposed model's core components in improving performance, and comparative experiments further highlight its significant advantages in recognition accuracy and robustness. Visualization experiments reveal that the model effectively focuses on key regions of gait images, with attention regions aligning closely with clinical anatomical landmarks, thereby enhancing the interpretability of the model's decision-making in clinical applications. In summary, the proposed model not only offers an efficient and reliable technical solution for early intelligent screening of genu valgum in children, but also provides a practical pathway for applying gait recognition technology in medical diagnosis.","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"42 5","pages":"994-1004"},"PeriodicalIF":0.0,"publicationDate":"2025-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12568726/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145393950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

[Research progress on deep learning-based computer-aided diagnosis of thyroid nodules using ultrasound imaging]. 基于深度学习的超声影像甲状腺结节计算机辅助诊断研究进展

生物医学工程学杂志 Pub Date : 2025-10-25 DOI: 10.7507/1001-5515.202412047

Xinyuan Zhou, Min Qiu, Jiangfeng Shang, Guohui Wei

{"title":"[Research progress on deep learning-based computer-aided diagnosis of thyroid nodules using ultrasound imaging].","authors":"Xinyuan Zhou, Min Qiu, Jiangfeng Shang, Guohui Wei","doi":"10.7507/1001-5515.202412047","DOIUrl":"10.7507/1001-5515.202412047","url":null,"abstract":"Thyroid nodules are a common endocrine disorder, and their early detection and accurate diagnosis are crucial for the prevention of thyroid cancer. However, the highly heterogeneous morphology and boundaries of thyroid nodules pose significant challenges to their precise identification and classification. Traditional diagnostic approaches rely heavily on physicians' experience, which increases the risk of misdiagnosis and missed diagnoses. With the rapid advancement of computer-aided diagnosis (CAD) technologies, applying deep learning algorithms to the analysis of thyroid nodule ultrasound images has shown great potential. This paper reviews the latest research progress on deep learning-based CAD methods for thyroid nodules, with a focus on their applications in image preprocessing, segmentation and classification. The advantages and limitations of current techniques are analyzed, and potential future directions are discussed. This review aims to highlight the potential of deep learning in thyroid nodule diagnosis and to provide a foundation for selecting feasible pathways for future clinical applications.","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"42 5","pages":"1069-1075"},"PeriodicalIF":0.0,"publicationDate":"2025-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12568733/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145393912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

[Effect of lower limb amputation on hemodynamic environment of the left coronary artery: a numerical study]. [下肢截肢对左冠状动脉血流动力学环境的影响：数值研究]。

生物医学工程学杂志 Pub Date : 2025-10-25 DOI: 10.7507/1001-5515.202401066

Tianxiang Tai, Wentao Jiang, Zhongyou Li, Junjie Diao, Xiao Li

{"title":"[Effect of lower limb amputation on hemodynamic environment of the left coronary artery: a numerical study].","authors":"Tianxiang Tai, Wentao Jiang, Zhongyou Li, Junjie Diao, Xiao Li","doi":"10.7507/1001-5515.202401066","DOIUrl":"10.7507/1001-5515.202401066","url":null,"abstract":"It has been found that the incidence of cardiovascular disease in patients with lower limb amputation is significantly higher than that in normal people, and the risk of developing coronary atherosclerosis is much higher than that in other high-risk groups. Numerous studies have confirmed that high systolic and diastolic blood pressures are potential risk factors for coronary artery disease, and it has been demonstrated that the ascending aortic pressure during diastole increases after amputation. However, the relationship between lower limb amputation and coronary atherosclerosis has not been fully explained from the perspective of hemodynamic environment. Therefore, in this study, a centralized parameter model of the human cardiovascular system and a three-dimensional model of the left coronary artery were established to investigate the effect of amputation on the hemodynamic environment of the coronary artery. The results showed that the abnormal hemodynamic environment induced by amputation, characterized by factors such as increased diastolic pressure in the ascending aorta, led to a significant expansion of the low wall shear stress (WSS) region on the outer lateral aspect of the left coronary artery bifurcation during diastole. The maximum observed increase in the area of low WSS reached up to 50.5%. This abnormal hemodynamic environment elevates the risk of plaque formation in the left coronary artery. Moreover, the more severe the lower limb atrophy, the greater the risk of coronary atherosclerosis in amputees. This study preliminarily reveals the effect of lower limb amputation on the hemodynamic environment of the left coronary artery.","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"42 5","pages":"954-963"},"PeriodicalIF":0.0,"publicationDate":"2025-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12568747/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145393817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0