生物医学工程学杂志 Pub Date : 2025-04-25 DOI: 10.7507/1001-5515.202407004

Qi Xu, Xinru Li, Zhixin Lu, Yongchao Wu

{"title":"[A simulation study of nerve fiber activation in the lumbar segment under kilohertz-frequency transcutaneously spinal cord stimulation].","authors":"Qi Xu, Xinru Li, Zhixin Lu, Yongchao Wu","doi":"10.7507/1001-5515.202407004","DOIUrl":"https://doi.org/10.7507/1001-5515.202407004","url":null,"abstract":"Clinical trials have demonstrated that kilohertz-frequency transcutaneous spinal cord stimulation (TSCS) can be used to facilitate the recovery of sensory-motor function for patients with spinal cord injury, whereas the neural mechanism of TSCS is still undetermined so that the choice of stimulation parameters is largely dependent on the clinical experience. In this paper, a finite element model of transcutaneous spinal cord stimulation was used to calculate the electric field distribution of human spinal cord segments T 12 to L 2, whereas the activation thresholds of spinal fibers were determined by using a double-cable neuron model. Then the variation of activation thresholds was obtained by varying the carrier waveform, the interphase delay, the modulating frequency, and the modulating pulse width. Compared with the sinusoidal carrier, the usage of square carrier could significantly reduce the activation threshold of dorsal root (DR) fibers. Moreover, the variation of activation thresholds was no more than 1 V due to the varied modulating frequency and decreases with the increased modulating pulse width. For a square carrier at 10 kHz modulated by rectangular pulse with the frequency of 50 Hz and the pulse width of 1 ms, the lowest activation thresholds of DR fibers and dorsal column fibers were 27.6 V and 55.8 V, respectively. An interphase delay of 5 μs was able to reduce the activation thresholds of the DR fibers to 20.1 V. The simulation results can lay a theoretical foundation on the selection of TSCS parameters in clinical trials.","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"42 2","pages":"300-307"},"PeriodicalIF":0.0,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12035613/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144003285","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

[Cross modal medical image online hash retrieval based on online semantic similarity]. [基于在线语义相似度的跨模态医学图像在线哈希检索]。

生物医学工程学杂志 Pub Date : 2025-04-25 DOI: 10.7507/1001-5515.202409022

Qinghai Liu, Lun Tang, Qianlin Wu, Liming Xu, Qianbin Chen

{"title":"[Cross modal medical image online hash retrieval based on online semantic similarity].","authors":"Qinghai Liu, Lun Tang, Qianlin Wu, Liming Xu, Qianbin Chen","doi":"10.7507/1001-5515.202409022","DOIUrl":"https://doi.org/10.7507/1001-5515.202409022","url":null,"abstract":"Online hashing methods are receiving increasing attention in cross modal medical image retrieval research. However, existing online methods often lack the learning ability to maintain semantic correlation between new and existing data. To this end, we proposed online semantic similarity cross-modal hashing (OSCMH) learning framework to incrementally learn compact binary hash codes of medical stream data. Within it, a sparse representation of existing data based on online anchor datasets was designed to avoid semantic forgetting of the data and adaptively update hash codes, which effectively maintained semantic correlation between existing and arriving data and reduced information loss as well as improved training efficiency. Besides, an online discrete optimization method was proposed to solve the binary optimization problem of hash code by incrementally updating hash function and optimizing hash code on medical stream data. Compared with existing online or offline hashing methods, the proposed algorithm achieved average retrieval accuracy improvements of 12.5% and 14.3% on two datasets, respectively, effectively enhancing the retrieval efficiency in the field of medical images.","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"42 2","pages":"343-350"},"PeriodicalIF":0.0,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12035615/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144019936","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 separation method of lung ventilation and lung perfusion signals in electrical impedance tomography based on rime algorithm optimized variational mode decomposition]. [基于时间算法优化变分模态分解的电阻抗断层扫描肺通气与肺灌注信号分离方法研究]。

生物医学工程学杂志 Pub Date : 2025-04-25 DOI: 10.7507/1001-5515.202410012

Guobin Gao, Kun Li, Junyao Li, Mingxu Zhu, Yu Wang, Xiaoheng Yan, Xuetao Shi

{"title":"[Study on the separation method of lung ventilation and lung perfusion signals in electrical impedance tomography based on rime algorithm optimized variational mode decomposition].","authors":"Guobin Gao, Kun Li, Junyao Li, Mingxu Zhu, Yu Wang, Xiaoheng Yan, Xuetao Shi","doi":"10.7507/1001-5515.202410012","DOIUrl":"https://doi.org/10.7507/1001-5515.202410012","url":null,"abstract":"Real-time acquisition of pulmonary ventilation and perfusion information through thoracic electrical impedance tomography (EIT) holds significant clinical value. This study proposes a novel method based on the rime (RIME) algorithm-optimized variational mode decomposition (VMD) to separate lung ventilation and perfusion signals directly from raw voltage data prior to EIT image reconstruction, enabling independent imaging of both parameters. To validate this approach, EIT data were collected from 16 healthy volunteers under normal breathing and inspiratory breath-holding conditions. The RIME algorithm was employed to optimize VMD parameters by minimizing envelope entropy as the fitness function. The optimized VMD was then applied to separate raw data across all measurement channels in EIT, with spectral analysis identifying relevant components to reconstruct ventilation and perfusion signals. Results demonstrated that the structural similarity index (SSIM) between perfusion images derived from normal breathing and breath-holding states averaged approximately 84% across all 16 subjects, significantly outperforming traditional frequency-domain filtering methods in perfusion imaging accuracy. This method offers a promising technical advancement for real-time monitoring of pulmonary ventilation and perfusion, holding significant value for advancing the clinical application of EIT in the diagnosis and treatment of respiratory diseases.","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"42 2","pages":"228-236"},"PeriodicalIF":0.0,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12035631/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144023433","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

[Illness duration-related developmental trajectory of progressive cerebral gray matter changes in schizophrenia]. [精神分裂症患者进行性脑灰质改变的病程相关发展轨迹]。

生物医学工程学杂志 Pub Date : 2025-04-25 DOI: 10.7507/1001-5515.202401053

Xin Chang, Zhihuan Yang, Yingjie Tang, Xiaoying Sun, Cheng Luo, Dezhong Yao

{"title":"[Illness duration-related developmental trajectory of progressive cerebral gray matter changes in schizophrenia].","authors":"Xin Chang, Zhihuan Yang, Yingjie Tang, Xiaoying Sun, Cheng Luo, Dezhong Yao","doi":"10.7507/1001-5515.202401053","DOIUrl":"https://doi.org/10.7507/1001-5515.202401053","url":null,"abstract":"In different stages of schizophrenia (SZ), alterations in gray matter volume (GMV) of patients are normally regulated by various pathological mechanisms. Instead of analyzing stage-specific changes, this study employed a multivariate structural covariance model and sliding-window approach to investigate the illness duration-related developmental trajectory of GMV in SZ. The trajectory is defined as a sequence of brain regions activated by illness duration, represented as a sparsely directed matrix. By applying this approach to structural magnetic resonance imaging data from 145 patients with SZ, we observed a continuous developmental trajectory of GMV from cortical to subcortical regions, with an average change occurring every 0.208 years, covering a time window of 20.176 years. The starting points were widely distributed across all networks, except for the ventral attention network. These findings provide insights into the neuropathological mechanism of SZ with a neuroprogressive model and facilitate the development of process for aided diagnosis and intervention with the starting points.","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"42 2","pages":"293-299"},"PeriodicalIF":0.0,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12035638/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144020306","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

[Efficacy evaluation of repeated transcranial magnetic stimulation combined with bipolar depression triple therapy in reducing female adolescents' non-suicidal self-injury]. 反复经颅磁刺激联合双相抑郁三联疗法减少女性青少年非自杀性自伤的疗效评价

生物医学工程学杂志 Pub Date : 2025-04-25 DOI: 10.7507/1001-5515.202411008

Yun Shen, Jing Li, Ke Zou, Kuanwei Yang, Yanping Shu, Zhong Zheng

{"title":"[Efficacy evaluation of repeated transcranial magnetic stimulation combined with bipolar depression triple therapy in reducing female adolescents' non-suicidal self-injury].","authors":"Yun Shen, Jing Li, Ke Zou, Kuanwei Yang, Yanping Shu, Zhong Zheng","doi":"10.7507/1001-5515.202411008","DOIUrl":"https://doi.org/10.7507/1001-5515.202411008","url":null,"abstract":"In order to explore effective ways to reduce non-suicidal self-injury (NSSI) among female adolescents, a total of 45 female adolescent patients with NSSI in West China Hospital of Sichuan University and Guizhou Second Provincial People's Hospital from June 2021 to June 2024 were selected randomly that divided into groups A, B and C, with 15 cases in each group. Group A was treated with repeated transcranial magnetic stimulation (rTMS) and bipolar depression triple therapy, and group B was treated with bipolar depression triple therapy to compare the effectiveness and safety. Group C received bipolar depression triple therapy combined with sham stimulation which only produced stimulating sounds but no stimulating magnetic field as a control in the study. After treatment, the Hamilton Anxiety Score (HAMA), Hamilton Depression Score (HAMD) and Nurses' Global Assessment of Suicide Risk (NGASR) in group A were significantly lower than those in group B and C ( P < 0.01). rTMS combined with bipolar depression triple therapy has a definite effect on reducing NSSI in female adolescents, which can reduce the incidence rate of short-term NSSI behavior in patients.","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"42 2","pages":"288-292"},"PeriodicalIF":0.0,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12035611/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144043612","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

[Mechanism of extracellular vesicles in the repair of intervertebral disc degeneration]. [细胞外囊泡在椎间盘退变修复中的作用机制]。

生物医学工程学杂志 Pub Date : 2025-04-25 DOI: 10.7507/1001-5515.202403046

Shengxu Zhu, Zhonghai Li

{"title":"[Mechanism of extracellular vesicles in the repair of intervertebral disc degeneration].","authors":"Shengxu Zhu, Zhonghai Li","doi":"10.7507/1001-5515.202403046","DOIUrl":"https://doi.org/10.7507/1001-5515.202403046","url":null,"abstract":"Extracellular vesicles (EVs), defined as cell-secreted nanoscale vesicles that carry bioactive molecules, have emerged as a promising therapeutic strategy in tumor and tissue regeneration. Their potential in repairing intervertebral disc degeneration (IDD) through multidimensional regulatory mechanisms is a rapidly advancing field of research. This paper provided an overview of the mechanisms of EVs in IDD repair, thoroughly reviewed recent literature on EVs for IDD, domestically and internationally, and summarized their therapeutic mechanisms. In IDD repair, EVs could act through different mechanisms at the molecular, cellular, and tissue levels. At the molecular level, EVs could treat IDD by inhibiting inflammatory reactions, suppressing oxidative stress, and regulating the synthesis and decomposition of extracellular matrix. At the cellular level, EVs could treat IDD by inhibiting cellular pyroptosis, ferroptosis, and apoptosis and promoting cell proliferation and differentiation. At the tissue level, EVs could treat IDD by inhibiting neovascularization. EVs have a strong potential for clinical application in the treatment of IDD and deserve more profound study.","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"42 2","pages":"409-416"},"PeriodicalIF":0.0,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12035626/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144037932","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 in motor assessment of neurodegenerative diseases driven by motion capture data]. [运动捕捉数据驱动的神经退行性疾病运动评估研究进展]。

生物医学工程学杂志 Pub Date : 2025-04-25 DOI: 10.7507/1001-5515.202403004

Junlang Wu, Wei Guo, Kexin Luo, Ling He, Guanci Yang

{"title":"[Research progress in motor assessment of neurodegenerative diseases driven by motion capture data].","authors":"Junlang Wu, Wei Guo, Kexin Luo, Ling He, Guanci Yang","doi":"10.7507/1001-5515.202403004","DOIUrl":"https://doi.org/10.7507/1001-5515.202403004","url":null,"abstract":"Neurodegenerative diseases (NDDs) are a group of heterogeneous neurological disorders that can cause progressive loss of neurons in the central nervous system or peripheral nervous system, resulting in a decline in motor function. Motion capture, as a high-precision and high-resolution technology for capturing human motion data, drives NDDs motor assessment to effectively extract kinematic features and thus assess the patient's motor ability or disease severity. This paper focuses on the recent research progress in motor assessment of NDDs driven by motion capture data. Based on a brief introduction of NDDs motor assessment datasets, we categorized the assessment methods into three types according to the way of feature extraction and processing: NDDs motor assessment methods based on statistical analysis, machine learning and deep learning. Then, we comparatively analyzed the technical points and characteristics of the three types of methods from the aspects of data composition, data preprocessing, assessment methods, assessment purposes and effects. Finally, we discussed and prospected the development trends of NDDs motor assessment.","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"42 2","pages":"396-403"},"PeriodicalIF":0.0,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12035630/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144040157","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 study on the predictive model of porous hyperelastic properties of human alveolar bone based on computed tomography imaging]. [基于计算机断层成像的人牙槽骨多孔性超弹性预测模型研究]。

生物医学工程学杂志 Pub Date : 2025-04-25 DOI: 10.7507/1001-5515.202408014

Bin Wu, Mingna Li, Fan Yang, Le Yuan, Yi Lu, Di Jiang, Yang Yi, Bin Yan

{"title":"[A study on the predictive model of porous hyperelastic properties of human alveolar bone based on computed tomography imaging].","authors":"Bin Wu, Mingna Li, Fan Yang, Le Yuan, Yi Lu, Di Jiang, Yang Yi, Bin Yan","doi":"10.7507/1001-5515.202408014","DOIUrl":"https://doi.org/10.7507/1001-5515.202408014","url":null,"abstract":"Alveolar bone reconstruction simulation is an effective means for quantifying orthodontics, but currently, it is not possible to directly obtain human alveolar bone material models for simulation. This study introduces a prediction method for the equivalent shear modulus of three-dimensional random porous materials, integrating the first-order Ogden hyperelastic model to construct a computed tomography (CT) based porous hyperelastic Ogden model (CT-PHO) for human alveolar bone. Model parameters are derived by combining results from micro-CT, nanoindentation experiments, and uniaxial compression tests. Compared to previous predictive models, the CT-PHO model shows a lower root mean square error (RMSE) under all bone density conditions. Simulation results using the CT-PHO model parameters in uniaxial compression experiments demonstrate more accurate prediction of the mechanical behavior of alveolar bone under compression. Further prediction and validation with different individual human alveolar bone samples yield accurate results, confirming the generality of the CT-PHO model. The study suggests that the CT-PHO model proposed in this paper can estimate the material properties of human alveolar bone and may eventually be used for bone reconstruction simulations to guide clinical treatment.","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"42 2","pages":"359-365"},"PeriodicalIF":0.0,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12035619/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144033293","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

[Medical text classification model integrating medical entity label semantics]. 集成医疗实体标签语义的医学文本分类模型。

生物医学工程学杂志 Pub Date : 2025-04-25 DOI: 10.7507/1001-5515.202408001

Li Wei, Dechun Zhao, Lu Qin, Yanghuazi Liu, Yuchen Shen, Changrong Ye

{"title":"[Medical text classification model integrating medical entity label semantics].","authors":"Li Wei, Dechun Zhao, Lu Qin, Yanghuazi Liu, Yuchen Shen, Changrong Ye","doi":"10.7507/1001-5515.202408001","DOIUrl":"https://doi.org/10.7507/1001-5515.202408001","url":null,"abstract":"Automatic classification of medical questions is of great significance in improving the quality and efficiency of online medical services, and belongs to the task of intent recognition. Joint entity recognition and intent recognition perform better than single task models. Currently, most publicly available medical text intent recognition datasets lack entity annotation, and manual annotation of these entities requires a lot of time and manpower. To solve this problem, this paper proposes a medical text classification model, bidirectional encoder representation based on transformer-recurrent convolutional neural network-entity-label-semantics (BRELS), which integrates medical entity label semantics. This model firstly utilizes an adaptive fusion mechanism to absorb prior knowledge of medical entity labels, achieving local feature enhancement. Then in global feature extraction, a lightweight recurrent convolutional neural network (LRCNN) is used to suppress parameter growth while preserving the original semantics of the text. The ablation and comparison experiments are conducted on three public medical text intent recognition datasets to validate the performance of the model. The results show that F1 score reaches 87.34%, 81.71%, and 77.74% on each dataset, respectively. The results show that the BRELS model can effectively identify and understand medical terminology, thereby effectively identifying users' intentions, which can improve the quality and efficiency of online medical services.","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"42 2","pages":"326-333"},"PeriodicalIF":0.0,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12035632/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144048963","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 a portable electrical impedance tomography system for evaluating blood compatibility of biomaterials]. [用于评估生物材料血液相容性的便携式电阻抗断层扫描系统的研究]。

生物医学工程学杂志 Pub Date : 2025-04-25 DOI: 10.7507/1001-5515.202410058

Piao Peng, Huaihao Chen, Bo Che, Xuan Li, Chunjian Fan, Lei Liu, Teng Luo, Linhong Deng

{"title":"[Research on a portable electrical impedance tomography system for evaluating blood compatibility of biomaterials].","authors":"Piao Peng, Huaihao Chen, Bo Che, Xuan Li, Chunjian Fan, Lei Liu, Teng Luo, Linhong Deng","doi":"10.7507/1001-5515.202410058","DOIUrl":"https://doi.org/10.7507/1001-5515.202410058","url":null,"abstract":"The evaluation of blood compatibility of biomaterials is crucial for ensuring the clinical safety of implantable medical devices. To address the limitations of traditional testing methods in real-time monitoring and electrical property analysis, this study developed a portable electrical impedance tomography (EIT) system. The system uses a 16-electrode design, operates within a frequency range of 1 to 500 kHz, achieves a signal to noise ratio (SNR) of 69.54 dB at 50 kHz, and has a data collection speed of 20 frames per second. Experimental results show that the EIT system developed in this study is highly consistent with a microplate reader ( R 2=0.97) in detecting the hemolytic behavior of industrial-grade titanium (TA3) and titanium alloy-titanium 6 aluminum 4 vanadium (TC4) in anticoagulated bovine blood. Additionally, with the support of a multimodal image fusion Gauss-Newton one-step iterative algorithm, the system can accurately locate and monitor in real-time the dynamic changes in blood permeation and coagulation caused by TC4 in vivo. In conclusion, the EIT system developed in this study provides a new and effective method for evaluating the blood compatibility of biomaterials.","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"42 2","pages":"219-227"},"PeriodicalIF":0.0,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12035616/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144064874","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

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