{"title":"[The influence of articular surface conformity on the biomechanics of rotating hinge knee prostheses].","authors":"Ying Li, Zhifeng Zhang, Longhui Li, Jing Zhang, Zhenxian Chen, Weijie Zhang","doi":"10.7507/1001-5515.202509058","DOIUrl":"https://doi.org/10.7507/1001-5515.202509058","url":null,"abstract":"<p><p>Articular surface conformity is a critical factor influencing the biomechanics of knee prostheses, yet its impact on the biomechanics of rotation-hinged knee (RHK) prostheses and their tibial fixation remains unclear. In this study, a rotational platform tibial insert model of RHK prostheses with varying coronal and sagittal conformities is established. Finite element analysis was performed under ISO boundary conditions to investigate the effects of articular surface conformity on the biomechanics of the RHK prosthesis and tibial fixation. The study revealed that when the coronal conformity decreased from 0.83 to 0.33, the maximum Mises stress in the tibia and the maximum contact pressure in the insert increased by 10.78% and 52.62%, respectively, while the maximum shear stress in the bone cement decreased by 10.17%. When sagittal conformity decreased from 0.88 to 0.47, the maximum Mises stress in the tibia and maximum contact pressure in the insert increased by 5.62% and 14.31%, respectively, while Mises stress at the hinge-rotation axis and bone cement shear stress decreased by 62.53% and 29.46%, respectively. A reduction in conformity decreased the contact area. Sagittal conformity has a lesser impact on insert contact pressure compared to coronal conformity, but a more significant impact on bone cement shear stress, and reducing sagittal conformity could effectively reduce the Mises stress at the hinge-rotation axis. The coronal conformity of the RHK prosthesis on the rotational platform more effectively regulates contact mechanics, reducing sagittal conformity facilitates lowering hinge-rotation axis Mises stress and bone cement shear stress without significantly increasing contact pressure, thereby mitigating risks of prosthesis failure such as dislocation, fracture, and loosening.</p>","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"43 2","pages":"235-241"},"PeriodicalIF":0.0,"publicationDate":"2026-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13112226/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147784404","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}
{"title":"[Design and implementation of the internet of medical things data platform based on cloud-edge-end architecture].","authors":"Hong Liang, Jipeng Sun, Hao Ren, Xingping Lu, Tongze Liu, Yong Fan, Yong Chao, Desen Cao, Kunlun He, Zhengbo Zhang, Junwen Lyu","doi":"10.7507/1001-5515.202510002","DOIUrl":"https://doi.org/10.7507/1001-5515.202510002","url":null,"abstract":"<p><p>In the internet of medical things, data primarily exhibits time-series and streaming characteristics, featuring typical attributes such as large-scale volume, high transmission rates, and significant heterogeneity. Given these data properties and the application requirements of medical scenarios, the development of specialized data platforms tailored to these needs holds considerable research significance and practical value. This study innovatively proposes the internet of medical things data platform solution based on a cloud-edge-end architecture, and elaborates on its architecture, functions, and implementation effects. The edge side is responsible for streaming data access, storage, and computation; the cloud side encompasses three layers of services: resources, data, and applications, constructing a data lake to provide data analysis services. This study has been implemented in PLA General Hospital for verification. From 2021 to 2024, 263 medical devices have been connected accumulatively, with a total data volume of 24.07 TB and stable operation within 4 years. In the performance stress test, the platform achieved the data access throughput of 23.91 MB/s and the data storage efficiency of 30.98 MB/s. These results demonstrate the feasibility of the architecture platform. This study has engineered and successfully applied the cloud-edge-end architecture in complex internet of medical things scenarios, addressing challenges such as heterogeneous protocol compatibility of medical devices, real-time response to clinical operations, and large-scale storage and application of the internet of things data. The established data platform provides a solid data foundation for smart medical applications and holds significant value for the research of medical artificial intelligence and the construction of future smart hospitals.</p>","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"43 2","pages":"382-390"},"PeriodicalIF":0.0,"publicationDate":"2026-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13112236/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147784415","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}
生物医学工程学杂志Pub Date : 2026-04-25DOI: 10.7507/1001-5515.202510026
Mengqiang Ji, Jianbing Sang, Lifang Sun, Chen Zhang, Xingyu Zhong, Yongjia Li
{"title":"[Prediction of hemodynamic parameters in pathological arterial vessels based on physics-informed neural networks].","authors":"Mengqiang Ji, Jianbing Sang, Lifang Sun, Chen Zhang, Xingyu Zhong, Yongjia Li","doi":"10.7507/1001-5515.202510026","DOIUrl":"https://doi.org/10.7507/1001-5515.202510026","url":null,"abstract":"<p><p>Atherosclerosis, aneurysms, and other vascular pathologies are closely associated with hemodynamic parameters. Non-invasive measurement of these hemodynamic parameters is of great significance for the prevention and treatment of cardiovascular diseases. In this study, eight idealized models of diseased vessels with varying stenosis rates and dilation extents were constructed. Transient simulations were performed under realistic physiological boundary conditions, and spatiotemporal coordinates as well as hemodynamic parameters were extracted from the models over one cardiac cycle to construct the dataset. Subsequently, by integrating hard boundary constraint methods with a physics-informed neural network (PINN), a prediction model for hemodynamic parameters in diseased vessels was established. The superiority of this model was demonstrated through validation on steady-state problems. With only limited supervised data, the proposed model achieves high-accuracy predictions of key hemodynamic parameters in lesioned vessels, including velocity, pressure, wall shear stress (WSS), time-averaged wall shear stress (TAWSS), oscillatory shear index (OSI), and relative residence time (RRT). The results indicate that the developed hemodynamic prediction model can accurately capture flow field characteristics such as velocity and pressure distributions, and exhibits excellent performance in predicting WSS and TAWSS. This study provides a novel approach and scientific basis for mechanistic investigations, clinical diagnosis, therapeutic strategies, and risk assessment of atherosclerosis, aneurysms, and related cardiovascular diseases.</p>","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"43 2","pages":"344-352"},"PeriodicalIF":0.0,"publicationDate":"2026-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13112231/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147784163","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}
生物医学工程学杂志Pub Date : 2026-04-25DOI: 10.7507/1001-5515.202505072
Qinglong Xu, Haixing Zhu, Yuan Wang, Weipeng Liu
{"title":"[Lung nodule segmentation method based on multiscale feature interaction and coordinate information].","authors":"Qinglong Xu, Haixing Zhu, Yuan Wang, Weipeng Liu","doi":"10.7507/1001-5515.202505072","DOIUrl":"https://doi.org/10.7507/1001-5515.202505072","url":null,"abstract":"<p><p>For pulmonary nodules in computed tomography (CT) images, which exhibit complex morphology and blurred boundaries, existing segmentation methods still fall short in modelling cross-level dependencies of multi-scale features, thereby limiting their performance in pulmonary nodule segmentation tasks. To address these challenges, this paper proposes a semantic segmentation method for pulmonary nodules based on multiscale feature interaction and cross-level coordinate attention (MFI-CLCA). This U-shaped network incorporated three architectures: a convolutional neural network (CNN), a Transformer, and Mamba. During the encoding phase, combining CNN and Mamba learning paradigms capured both global and local information in the input data. The convolutional component extracted complex boundary features of the target by combining multi-scale convolutional operations with adaptive fusion operations. Global and local multi-head attention mechanisms were introduced in the bottleneck layer and decoding phase respectively to model these hierarchical feature dependencies. The skip-connection section incorporated a multi-level coordinate attention module to adaptively focus on the information being passed through. Experimental results on the Lung Image Database Consortium (LIDC) dataset demonstrated that this approach achieved Dice scores of 90.52% and sensitivity of 91.93%, which outperforms existing state-of-the-art methods and validates its effectiveness for lung nodule segmentation tasks.</p>","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"43 2","pages":"353-361"},"PeriodicalIF":0.0,"publicationDate":"2026-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13112225/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147784234","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}
生物医学工程学杂志Pub Date : 2026-04-25DOI: 10.7507/1001-5515.202507052
Yuhang Xue, Zhihao Li, Fan Wang, Lei Zhao, Tianwen Li, Anmin Gong, Wenya Nan, Yunfa Fu
{"title":"[Ethical risks and regulatory considerations in neurofeedback technology].","authors":"Yuhang Xue, Zhihao Li, Fan Wang, Lei Zhao, Tianwen Li, Anmin Gong, Wenya Nan, Yunfa Fu","doi":"10.7507/1001-5515.202507052","DOIUrl":"https://doi.org/10.7507/1001-5515.202507052","url":null,"abstract":"<p><p>Neurofeedback transforms real-time brain activity features into multimodal feedback to guide self-regulation of brain function, showing potential applications in neuropsychiatric treatment and cognitive enhancement. However, its use entails ethical risks including cognitive autonomy, personal identity integrity, safety and efficacy, privacy protection, and the safeguarding of vulnerable populations, with informed consent challenges being particularly pronounced in implicit neurofeedback. Based on these risks, this paper proposes establishing an ethical evaluation framework for neurofeedback, promoting ethics-embedded design, and strengthening international cooperation and public education, emphasizing responsible innovation to align technological development with ethical safeguards.</p>","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"43 2","pages":"414-420"},"PeriodicalIF":0.0,"publicationDate":"2026-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13112230/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147784153","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}
生物医学工程学杂志Pub Date : 2026-04-25DOI: 10.7507/1001-5515.202510061
Xiaoguang Wu, Jintao Shang, Xiaochen Niu, Hongbin Lin, Yihao Du
{"title":"[Research on a muscle fatigue quantification based on an improved critical power model].","authors":"Xiaoguang Wu, Jintao Shang, Xiaochen Niu, Hongbin Lin, Yihao Du","doi":"10.7507/1001-5515.202510061","DOIUrl":"https://doi.org/10.7507/1001-5515.202510061","url":null,"abstract":"<p><p>To address the challenge of accurately quantifying and predicting muscle fatigue, this study proposes a method for measuring muscle fatigue levels during dumbbell curl exercises. First, the Hill muscle model was used to calculate the biceps brachii power output during dumbbell curls for 12 male subjects. The true value of average muscle power output required under the current physiological state was fitted based on the average power output during non-fatigued cycles. The variation pattern between the curvature constant of the critical power (CP) model and the true muscle power output was investigated, leading to the construction of an improved CP model capable of adapting to physiological states. Next, residual muscle energy was calculated using a muscle energy expenditure and recovery model to quantify fatigue levels. Test results demonstrated that under varying exercise intensities, the mean root mean square error of the improved CP model in predicting the duration of dumbbell curls compared to actual measurement time is 8.01 seconds, significantly lower than the 19.79 seconds of the original model, validating the effectiveness of this approach. In summary, this methodology provides scientific basis for fitness enthusiasts to plan repetition counts within sets and rest intervals between sets during dumbbell curls. It plays a positive role in enhancing exercise efficiency and lays a foundation for further advancing the popularization of fitness activities.</p>","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"43 2","pages":"259-266"},"PeriodicalIF":0.0,"publicationDate":"2026-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13112220/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147784324","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}
{"title":"[Study on electrospun film-covered tracheal stents with adaptive release of anti-inflammatory drugs driven by the piezoelectric effect].","authors":"Zhaojie Wang, Fengqiang Zhao, Binhao Dai, Fengjie Wang, Tianming Du, Aike Qiao, Yanping Zhang","doi":"10.7507/1001-5515.202511016","DOIUrl":"https://doi.org/10.7507/1001-5515.202511016","url":null,"abstract":"<p><p>Drug-eluting stents used to inhibit granulation tissue hyperplasia after tracheal stent implantation rely on passive drug release mechanisms, which make precise controlled release difficult and may lead to either insufficient efficacy or toxic side effects. This study aims to design a piezoelectric effect-based adaptive drug-releasing film for tracheal stents, capable of self-regulating the release of anti-inflammatory drugs according to the mechanical changes in the pathological environment within the patient's airway. First, a polyvinylidene fluoride piezoelectric film was prepared on a metal stent surface via electrospinning. Curcumin-loaded poly(3,4-ethylenedioxythiophene) conductive nanoparticles were dispersed in a polyvinyl alcohol hydrogel and adhered to the upper and lower edges of the stent (prone to hyperplasia areas). Experiments showed uniform nanoparticle morphology with a curcumin loading rate of (12.6 ± 1.80)%. Electrochemical tests indicated that the curcumin release rate was highest (approximately 90%) at a reduction potential of -1.5 V, and \"on/off\" controlled release could be achieved through intermittent electrical stimulation. When periodic pressure was applied to the film, its output voltage increased with loading speed (up to -8 V). Furthermore, the curcumin release rate was positively correlated with the pressure speed, reaching a cumulative release of about 15% within 48 h at a loading speed of 2.5 m/min. The drug-loaded piezoelectric film-covered stent developed in this study successfully achieves mechanically controlled release of the anti-inflammatory drug curcumin under intermittent cyclic pressure, providing an effective strategy for developing intelligent tracheal stents with adaptive and controllable drug release.</p>","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"43 2","pages":"277-285"},"PeriodicalIF":0.0,"publicationDate":"2026-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13112215/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147784412","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}
生物医学工程学杂志Pub Date : 2026-02-25DOI: 10.7507/1001-5515.202508020
Xinke Li, Chen Yang, Ru Feng, Ke Rong, Zhipeng Zhou
{"title":"[Progress and application of machine learning in sports injury research].","authors":"Xinke Li, Chen Yang, Ru Feng, Ke Rong, Zhipeng Zhou","doi":"10.7507/1001-5515.202508020","DOIUrl":"10.7507/1001-5515.202508020","url":null,"abstract":"<p><p>The research on sports injury has long relied on traditional statistical methods, which often have obvious limitations when dealing with high-dimensional, nonlinear and multi-modal data. With the development of artificial intelligence technology, machine learning provides a new way to solve these complex problems. This paper systematically reviews the progress and application of machine learning in sports injury research. Firstly, the development of different machine learning methods in sports injury research was summarized. Secondly, we focus on five core applications of machine learning in the field of sports injury: data feature selection and dimensionality reduction, injury risk prediction, injury symptoms and signs classification, risk monitoring based on wearable devices, and imaging data analysis. Research shows that machine learning models show significant advantages in dealing with complex data patterns, improving prediction accuracy and achieving real-time dynamic intervention. However, research in related fields still faces challenges such as insufficient data quality and quantity, poor model interpretability, and barriers to multidisciplinary cooperation. Through the summary, it can be seen that future research in this field should focus on constructing standardized shared datasets, developing more interpretable models, and strengthening the cooperation and communication between multi-disciplines, and finally promoting the application of machine learning in sports injury prevention, diagnosis and rehabilitation.</p>","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"43 1","pages":"208-215"},"PeriodicalIF":0.0,"publicationDate":"2026-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12948530/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147318535","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}
生物医学工程学杂志Pub Date : 2026-02-25DOI: 10.7507/1001-5515.202509070
Guowei Han, Zhijun Sun, Xiongfeng Tang
{"title":"[Master manipulator of vascular intervention surgical robot based on haptic feedback].","authors":"Guowei Han, Zhijun Sun, Xiongfeng Tang","doi":"10.7507/1001-5515.202509070","DOIUrl":"10.7507/1001-5515.202509070","url":null,"abstract":"<p><p>The master manipulator is a crucial component in enabling interactive perception between the physician and the guidewire/catheter; however, the lack of real-time haptic feedback increases the difficulty of hand-eye coordination. This paper designed and developed a master manipulator for a vascular interventional surgery robot with haptic feedback to provide the physician with high-accuracy force feedback. Using a two-degree-of-freedom decoupling mechanism combining key transmission and bearings, the master manipulator captured the physician's push-pull and rotational actions accurately and synchronously. The haptic feedback module adopted dual-channel independent control: axial resistance was generated by three springs evenly distributed at 120° and driven by a linear motor, while circumferential resistance was produced directly by a brushed direct current motor. To enhance the fidelity and accuracy of force feedback, inherent friction within the mechanical structure was identified as a critical non-negligible factor. Consequently, a feedforward compensation strategy grounded in the Stribeck friction model was developed and implemented to proactively counteract friction forces. The performance of the axial force module and the circumferential torque module was evaluated, and the displacement acquisition resolutions reached 1 μm and 0.087 9°, respectively. The average error for axial force feedback was 0.11 N, and that for circumferential torque feedback was 0.154 mN·m. The master manipulator was constructed using a combination of custom 3D-printed photosensitive resin parts and machined aluminum alloy, resulting in a lightweight, low-friction structure. It provides an immersive force-interaction experience for the physician, improving operational precision and radiation safety in vascular interventional surgery and enabling coordinated \"vision-hand-force perception\".</p>","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"43 1","pages":"79-86"},"PeriodicalIF":0.0,"publicationDate":"2026-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12948638/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147318540","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}
{"title":"[Research progress on the mechanism and potential applications of gut microbiota-derived extracellular vesicles in ischemic stroke].","authors":"Meng Xiao, Xinyue Li, Jinting Li, Minmin Wu, Luwen Zhu","doi":"10.7507/1001-5515.202506074","DOIUrl":"10.7507/1001-5515.202506074","url":null,"abstract":"<p><p>Ischemic stroke (IS) is a common cerebrovascular accident that has garnered widespread attention due to its high rates of disability and mortality. Gut microbiota-derived extracellular vesicles (GMEVs), as a novel type of biological nanomaterial, can regulate various physiological processes in host cells by delivering bioactive substances and mediating membrane component-dependent physical interactions, demonstrating significant application value in the field of biomedicine. This review integrates relevant randomized controlled trials and mechanistic studies from both domestic and international research in recent years, firstly summarizing the evidence linking gut microbiota to IS, and then thoroughly exploring the potential mechanisms and engineering strategies of GMEVs in IS treatment. Finally, the article prospects the future directions for GMEVs in the precise intervention of IS. This review aims to provide a new perspective for understanding the role of the gut-brain axis in IS and to lay a theoretical foundation for the development of neuroprotective or reparative strategies based on GMEVs.</p>","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"43 1","pages":"216-220"},"PeriodicalIF":0.0,"publicationDate":"2026-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12948528/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147318716","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}