Biocybernetics and Biomedical Engineering最新文献

{"title":"Beyond the kick: A structured review of advances in automated fetal movement monitoring","authors":"Martina Palickova Mikolasova ,&nbsp;Katerina Barnova ,&nbsp;Radek Martinek ,&nbsp;Radana Vilimkova Kahankova","doi":"10.1016/j.bbe.2026.04.003","DOIUrl":"10.1016/j.bbe.2026.04.003","url":null,"abstract":"<div><div>Foetal movement (FM) is widely regarded as a key indicator of foetal health, offering insights into neurological development and the overall physiological state of the foetus. Traditional methods of FM monitoring, such as maternal perception, manual counting, and ultrasound-based methods, are limited by subjectivity and lack of reliability, especially in continuous and home-based settings. Recent advances in technology have introduced automated methods of FM detection, ranging from accelerometry to non-invasive foetal electrocardiography, each with unique advantages and challenges. This review presents a comprehensive overview of current FM monitoring technologies, focusing on their principles, applications, and limitations. Additionally, we discuss the importance of standardised datasets and uniform benchmarking, which are essential to validating and comparing emerging technologies. Finally, we explore the role of advanced signal processing, artificial intelligence and machine learning in enhancing FM detection accuracy, with the potential to expand foetal monitoring into the home and enable more personalised prenatal care.</div></div>","PeriodicalId":55381,"journal":{"name":"Biocybernetics and Biomedical Engineering","volume":"46 2","pages":"Pages 407-422"},"PeriodicalIF":6.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147858383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intestinal electromagnetic modeling and current density inversion for functional assessment","authors":"Jianmei Guo ,&nbsp;Zhaohui Zhang ,&nbsp;Tianyao Zhang ,&nbsp;Xiaoyan Zhao ,&nbsp;Rui Zhang ,&nbsp;Lu Yin ,&nbsp;Zeming Zhao ,&nbsp;Fan Song ,&nbsp;Liang Liang ,&nbsp;Lei Han","doi":"10.1016/j.bbe.2026.03.006","DOIUrl":"10.1016/j.bbe.2026.03.006","url":null,"abstract":"<div><div>The rhythmic propagation of intestinal electrophysiological activity is crucial for maintaining normal peristalsis, and its disruption is often linked to functional disorders. This study proposes an electro-magnetic coupling modeling and inversion framework that integrates the FitzHugh-Nagumo (FHN) electrophysiological model with frequency-domain magnetic-field inversion, establishing a complete simulation pipeline from electrophysiological activation to the resulting magnetic-field distribution and the reconstruction of current density from measured magnetic signals. A 3D local intestinal segment was constructed using six connected curved ellipsoids, and the simulation reproduces the spatiotemporal propagation of slow waves and typical dipolar magnetic patterns, demonstrating strong physiological-electromagnetic consistency. The reconstructed current density distribution, obtained via frequency-domain Fourier inversion, aligns well with membrane potential dynamics. Simulations under three typical functional conditions - normal conduction, local blockage, and multi-source pacing - confirm that the proposed method effectively identifies closed-loop current paths, detects conduction disruptions, and resolves multiple activation sources. This modeling and inversion framework offers a new approach for noninvasive intestinal function imaging and abnormality detection, showing promising application potential.</div></div>","PeriodicalId":55381,"journal":{"name":"Biocybernetics and Biomedical Engineering","volume":"46 2","pages":"Pages 382-391"},"PeriodicalIF":6.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147600155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of a CT-based finite element model to evaluate the efficacy of shock-absorbing floors for fragility hip fracture prevention: An industry–government–academia partnership in Japan’s super-aging society","authors":"Yoto Oh ,&nbsp;Kouhei Yamamoto ,&nbsp;Atsushi Okawa ,&nbsp;Takumi Kaku ,&nbsp;Satoru Egawa ,&nbsp;Toshitaka Yoshii","doi":"10.1016/j.bbe.2026.04.001","DOIUrl":"10.1016/j.bbe.2026.04.001","url":null,"abstract":"<div><div>In aging societies, the high medical and nursing care costs associated with fragility hip fractures among the elderly have become a global concern. Shock-absorbing mats are sometimes used as an alternative to hip protectors; however, scientific evidence regarding their efficacy in preventing hip fractures remains insufficient. Furthermore, their low stiffness can compromise stability during movement and gait. In Japan, a super-aging society, a novel mechanical metamaterial flooring material (MM-floor) has been developed to balance stability with shock absorption through its unique structural design, and it is expected to be adopted for government-led fragility fracture prevention initiatives. This study constructed a CT-based finite element (CT/FE) model to evaluate the efficacy of three flooring materials: a 2-mm vinyl sheet, a 40-mm sponge mat, and the 22-mm MM-floor. Using CT DICOM data from an elderly Asian woman’s femur, we simulated a backward fall in which the greater trochanter impacts the floor. Static analysis identified a fracture threshold at a reaction force of 1,400 N. Dynamic analysis, replicating the impact energy of a fall, showed that peak reaction forces for both the sponge mat and MM-floor remained at 1,200 N, preserving bone geometry through elastic rebound. Conversely, the vinyl sheet resulted in the complete destruction of the proximal femur. Our CT/FE model demonstrated the clinical and economic potential of the novel MM-floor. Furthermore, this model enables rapid product optimization by evaluating arbitrary material properties without posing risks to human subjects or incurring excessive development costs.</div></div>","PeriodicalId":55381,"journal":{"name":"Biocybernetics and Biomedical Engineering","volume":"46 2","pages":"Pages 423-431"},"PeriodicalIF":6.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147858384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effects of ductus venosus anastomosis angle and blood flow pattern on the fetal inferior vena cava blood oxygen concentration","authors":"Hongchao Ma,&nbsp;Bin Gao","doi":"10.1016/j.bbe.2026.04.002","DOIUrl":"10.1016/j.bbe.2026.04.002","url":null,"abstract":"<div><h3>Background and objective</h3><div>Fetal growth restriction (FGR) is associated with impaired oxygen delivery to vital fetal organs, yet the regulatory mechanisms linking ductus venosus-inferior vena cava (DV-IVC) anastomotic morphology and intra-abdominal umbilical vein (IUV) blood flow patterns to blood oxygen polarization remain unclear. This study aimed to systematically investigate the effects of DV-IVC anastomotic angles (axial angle β, radial angle α) and IUV flow patterns (constant vs. pulsatile) on oxygen distribution polarization in the fetal IVC.</div></div><div><h3>Methods</h3><div>Computational fluid dynamics (CFD) and multiphase flow methods were employed to construct parametric models of fetal venous systems. Sixteen geometric configurations with varying β (30°–75°) and α (0°–30°) angles were analyzed. Oxygenated and deoxygenated blood phases were modeled using the Euler-Euler approach. Hemodynamic parameters, including oxygen distribution ratio (ODR), wall shear stress (WSS), oscillatory shear index (OSI), and relative residence time (RRT), were evaluated under pulsatile and constant flow conditions.</div></div><div><h3>Results</h3><div>Decreasing β significantly enhanced oxygen polarization (ODR decreased by 24.32% as β increased from 30° to 75%). Smaller β angles reduced low WSS areas (&lt;2 Pa) and mitigated abnormal OSI (&gt;0.02) and RRT (&gt;20) risks. Larger α angles marginally improved polarization (ODR increased by 6.93% at α = 30° vs. α = 0°). Pulsatile IUV flow outperformed constant flow, increasing mean ODR by 4.09% and stabilizing oxygen distribution.</div></div><div><h3>Conclusions</h3><div>The DV-IVC anastomotic angle and IUV flow pattern critically influence fetal blood oxygen polarization. Smaller β angles and pulsatile flow enhance oxygen delivery efficiency while reducing endothelial dysfunction risks.</div></div>","PeriodicalId":55381,"journal":{"name":"Biocybernetics and Biomedical Engineering","volume":"46 2","pages":"Pages 392-406"},"PeriodicalIF":6.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147713924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Silent speech recognition and interaction via surface electromyography: A review","authors":"Yakun Zhang ,&nbsp;Xinyue Zhang ,&nbsp;Liang Xie ,&nbsp;Xingyu Zhang ,&nbsp;Changyan Zheng ,&nbsp;Erwei Yin","doi":"10.1016/j.bbe.2026.05.002","DOIUrl":"10.1016/j.bbe.2026.05.002","url":null,"abstract":"<div><div>Acoustic human–computer interaction remains vulnerable to environmental noise, constrained in privacy-sensitive settings, and often inaccessible to users with impaired speech production. Silent speech interfaces (SSIs) address these limitations by decoding communicative intent from non-acoustic physiological or articulatory signals. Among the available SSI modalities, surface electromyography (sEMG) is particularly attractive because it provides non-invasive access to speech-related neuromuscular activity while remaining compatible with wearable implementation. This review examines sEMG-based SSIs from a deployment-oriented perspective across the full processing pipeline, spanning physiological foundations, signal acquisition, feature representation, speech-related modeling, and cross-modality comparison. Particular attention is given to the evolution of decoding paradigms from early probabilistic recognition systems to recent neural approaches, including modern sequence modeling, generative EMG-to-speech reconstruction, and language-assisted EMG-to-text decoding. To situate sEMG within the broader SSI landscape, representative competing modalities are compared through a structured deployment-oriented framework covering silent-operation capability, clinical viability, wearability, economic scalability, and practical usability. The reviewed evidence suggests that the importance of sEMG lies not in universal superiority over alternative SSI technologies, but in its comparatively balanced combination of silent-operation capability, physiological relevance, non-invasive wearability, and realistic paths toward scalable deployment. At the same time, major challenges remain in sensing stability, calibration burden, cross-session and cross-subject robustness, benchmark realism, and clinically meaningful evaluation. The review concludes that further progress will depend on coordinated advances in wearable sensing hardware, shared benchmark infrastructure, robust adaptation and generative modeling, system-level integration, and closed-loop human–machine co-adaptation.</div></div>","PeriodicalId":55381,"journal":{"name":"Biocybernetics and Biomedical Engineering","volume":"46 2","pages":"Pages 432-454"},"PeriodicalIF":6.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147858385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Virtual MEG Helmet approach for improving OPM-MEG performance in rigid helmets: simulations and phantom experiment validation","authors":"Bing Yan,&nbsp;Jie Ji,&nbsp;Yuming Peng,&nbsp;Yifu Cao,&nbsp;Haonan Zhang,&nbsp;Yun Zhang,&nbsp;Yixiang Zhang,&nbsp;Yanxiong Niu,&nbsp;Chang Sun,&nbsp;Ming Ding","doi":"10.1016/j.bbe.2026.05.001","DOIUrl":"10.1016/j.bbe.2026.05.001","url":null,"abstract":"<div><div>To address the limitations in localization accuracy of optically pumped magnetometer magnetoencephalography (OPM-MEG) systems arising from low channel counts or mismatches between head size and a rigid-helmet OPM array, this study systematically evaluates a Virtual MEG Helmet (VMH) approach. By applying quantitative translations or rotations to the OPM array and performing repeated measurements, the acquired datasets are combined to effectively increase spatial sampling density. Using an adult head model, we constructed 16-, 32-, and 64-channel OPM-MEG standard systems and their corresponding VMH systems, and based on a unified forward-field model, computed and compared the F-norm, the quantity of undetectable voxels, and localization error. We further validated the feasibility of the VMH approach through experiments using a triangular dry phantom. The phantom tests indicate that VMH can, to a certain extent, improve localization performance for OPM-MEG systems operating with rigid-helmet arrays. The experimental results are consistent with the simulations and support the feasibility of using VMH to enhance detectability and localization accuracy at relatively low hardware cost, while also mitigating head-size mismatch between a fixed sensor array and the participant’s head.</div></div>","PeriodicalId":55381,"journal":{"name":"Biocybernetics and Biomedical Engineering","volume":"46 2","pages":"Pages 455-469"},"PeriodicalIF":6.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147956925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A two-stage deep learning framework for predicting the onset of Atrial fibrillation using RR interval-based embeddings","authors":"Yongbin Lee ,&nbsp;Yeonsik Noh ,&nbsp;Allan Walkey ,&nbsp;Ki H Chon","doi":"10.1016/j.bbe.2026.01.004","DOIUrl":"10.1016/j.bbe.2026.01.004","url":null,"abstract":"<div><div>Atrial fibrillation (AF) is the most common form of arrhythmia, significantly increasing the risk of stroke, heart failure, and other cardiovascular complications. Although AF detection methods have achieved accuracies exceeding 98%, AF onset prediction remains underexplored. Paroxysmal AF, an early stage of AF progression, often goes undetected even with continuous monitoring beyond 24 h, and its transition to sustained AF is associated with increased mortality and severe complications. Notably, approximately 15% of the 5 million critically ill patients annually hospitalized in United States intensive care units (ICUs) experience new-onset AF, highlighting the urgent need for early AF onset prediction. This study proposes a two-stage deep learning framework for AF prediction using RR intervals (RRIs). The first stage extracts features using a convolutional and bidirectional long short-term memory (BiLSTM) network, while the second stage employs another BiLSTM with a fully connected classifier to predict AF onset one hour in advance. In subject-wise testing, the model achieved a sensitivity of 0.936, specificity of 0.893, F1-score of 0.906, and an area under the receiver operating characteristic curve (AUROC) of 0.980. In external independent dataset validation, it achieved a sensitivity of 0.848, specificity of 0.978, F1-score of 0.938, AUROC of 0.976, and an area under the precision-recall curve (AUPRC) of 0.966. Our approach demonstrates: (1) state-of-the-art predictive performance, (2) lightweight computational complexity despite a large number of parameters, (3) flexible training through the two-stage design, (4) the ability to identify high-risk RRI segments using masking techniques to enhance clinical interpretation, and (5) a robust AF onset prediction framework capable of predicting AF up to one hour in advance using one hour of input data—providing sufficient lead time for preventive interventions.</div></div>","PeriodicalId":55381,"journal":{"name":"Biocybernetics and Biomedical Engineering","volume":"46 1","pages":"Pages 176-187"},"PeriodicalIF":6.6,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146077059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Highly stable direct-printed polyazulene-based miniaturized electrode for pH analysis in human body fluids","authors":"Agnieszka Paziewska-Nowak ,&nbsp;Marcin Urbanowicz ,&nbsp;Marek Dawgul ,&nbsp;Kornelia Bobrowska ,&nbsp;Anna Sołdatowska ,&nbsp;Marcin Ekman ,&nbsp;Dorota G. Pijanowska","doi":"10.1016/j.bbe.2025.11.008","DOIUrl":"10.1016/j.bbe.2025.11.008","url":null,"abstract":"<div><div>pH monitoring in biological fluids plays a critical role in clinical diagnostics and therapeutic management. This study presents a novel solid-contact pH electrode fabricated using a direct-printed (DP) graphite (Gr) electrode on a flexible substrate, followed by an electropolymerized hydrophobic polyazulene (pAz) transducing layer, and an ion-selective membrane (ISM). The pH electrode was paired with a miniaturized solid-state Ag/AgCl reference electrode incorporating a photopolymerized PVA-KCl matrix. The miniaturized reference electrode exhibited excellent potential stability (±2.5 mV across pH 2–11), and minimal signal drift (10  µV/h). The miniaturized pH electrode exhibited a sensitivity of 55.7 mV/dec, with a rapid response time of 6 s (vs. Orion™ ROSS Ultra™ reference electrode) or 42 s (vs. miniaturized solid-state reference electrode) and a linear response over the pH range of 2–10. The pH electrode demonstrated excellent analytical performance in diverse biological fluids, including urine, serum, saliva, and surgical drain fluid, closely matching the performance of a laboratory-grade combined glass pH electrode. These results underscore the potential of the proposed platform as a reliable and technologically scalable tool for real-time pH assessment in biomedical applications.</div></div>","PeriodicalId":55381,"journal":{"name":"Biocybernetics and Biomedical Engineering","volume":"46 1","pages":"Pages 40-49"},"PeriodicalIF":6.6,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145685167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Parameters selection for entropy measures in kinematic assessment of social intentions","authors":"Gianmaria Mancioppi ,&nbsp;Erika Rovini ,&nbsp;Jasmine Pani ,&nbsp;Elisa Beccai ,&nbsp;Auriane Gros ,&nbsp;Valeria Manera ,&nbsp;Filippo Cavallo","doi":"10.1016/j.bbe.2026.01.006","DOIUrl":"10.1016/j.bbe.2026.01.006","url":null,"abstract":"<div><div>This study investigates the use of entropy metrics to enhance traditional analysis of grasping movements. The authors examined whether signal unpredictability measures—Approximate Entropy (ApEn) and Sample Entropy (SampEn)—can reveal motor control aspects during reach-to-grasp actions. They aimed to determine if entropy could infer the movement’s underlying intention, distinguishing social (SOC) versus individual (IND) goals. Wrist acceleration data were collected via wearable Inertial Measurement Units (IMU) from 12 older adults performing repetitive reach-to-grasp tasks in two conditions: IND (acting alone) and SOC (passing an object to an experimenter). The hypothesis predicted that social actions involve tighter motor control, resulting in lower entropy. ApEn and SampEn were computed using different parameter sets (embedding dimension m = 2, 3; similarity criterion r = 0.1, 0.2, 0.3). Mixed-model repeated measures ANOVAs and linear mixed-effects models assessed differences between conditions and parameters. Results showed significant effects of condition, m, and r, including m × r interactions. Both ApEn and SampEn yielded lower entropy in the SOC condition, confirming the hypothesis. ApEn showed greater robustness and consistency across parameter settings and preprocessing steps compared to SampEn. This study is the first systematic comparison of ApEn and SampEn for action-related time series in social versus non-social contexts. Findings highlight the impact of social context on motor control. ApEn, especially with lower m (2) and r (0.1–0.2), is recommended for future studies due to its reliability and sensitivity in distinguishing movement intention.</div></div>","PeriodicalId":55381,"journal":{"name":"Biocybernetics and Biomedical Engineering","volume":"46 1","pages":"Pages 202-210"},"PeriodicalIF":6.6,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146173103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Numerical investigations on the impact of aortic arch inclusion on hemodynamics of abdominal healthy and aneurysmal aorta","authors":"Xinyi Han ,&nbsp;Mathieu Specklin ,&nbsp;Smaine Kouidri ,&nbsp;Louise Koskas ,&nbsp;Farid Bakir ,&nbsp;Jean-Michel Davaine","doi":"10.1016/j.bbe.2025.12.003","DOIUrl":"10.1016/j.bbe.2025.12.003","url":null,"abstract":"<div><div>This numerical study evaluates the impact of including the aortic arch in in-vivo and in-silico studies, by comparing an abdominal healthy aorta model to an aneurysmal one. CFD simulations were performed using OpenFOAM, with patient-specific blood flow data. Wall shear stress indices (TAWSS, OSI, RRT) and vortex distributions (Q criterion) were analyzed. The results show that the aortic arch amplifies blood flow disturbances, leading to a reduction in TAWSS and an increase in OSI, which may enhance the risk of potential thrombosis. Simplified models without the arch underestimate these effects. The influence of the aortic arch is more pronounced in the abdominal healthy aorta than in the abdominal aortic aneurysm, highlighting the importance of including it in hemodynamic simulations for a more accurate risk assessment.</div></div>","PeriodicalId":55381,"journal":{"name":"Biocybernetics and Biomedical Engineering","volume":"46 1","pages":"Pages 76-94"},"PeriodicalIF":6.6,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145839929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}