IEEE Journal of Translational Engineering in Health and Medicine-Jtehm最新文献

{"title":"Accuracy of Quantifying Hypotension During Surgery Using Physiological Sensor Data","authors":"Martin Jacobsson;Arman Valadkhani;Greg Winski;Max Bell","doi":"10.1109/JTEHM.2026.3698197","DOIUrl":"10.1109/JTEHM.2026.3698197","url":null,"abstract":"Objective: During surgery it is common to measure the arterial blood pressure. One important reason is to monitor for hypotension, a too low blood pressure, which is known to be harmful. Since post-surgical complications correlate with hypotension, it is common to calculate the number of hypotensive events, their cumulative length, or their cumulative area under threshold. To make the data collection process manageable, parameter data is often stored only once every 15 seconds and then used to derive the amount of hypotension.Methods and procedures: In this study, we calculate the errors introduced in quantizing hypotension based on different amount of downsampling from 419 surgical patients at the open abdomen surgery unit at Karolinska University Hospital. Experiments with error mitigation are also tested. Results are compared with using the continuous blood pressure waveform data.Results: For a downsampling to once every 15 seconds, the relative bias was 27.0% for the number of hypotensive events, 30.0% for the cumulative hypotensive length, and 10.8% for the cumulative area under threshold. Error mitigation approaches often do not improve the errors.Conclusion: These results highlight the necessity of using high frequency data and that it is important to be aware of the errors when interpreting older studies involving quantification of hypotension and based on downsampled data.","PeriodicalId":54255,"journal":{"name":"IEEE Journal of Translational Engineering in Health and Medicine-Jtehm","volume":"14 ","pages":"265-273"},"PeriodicalIF":3.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13278748/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148297409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Letter to the Editor on “Infrastructure Is the Bottleneck: A Call to Translational Engineers, Clinicians, and Policymakers to Accelerate ATMP Delivery in Latin America”","authors":"Evelyn Silva-Moreno","doi":"10.1109/JTEHM.2026.3693976","DOIUrl":"https://doi.org/10.1109/JTEHM.2026.3693976","url":null,"abstract":"Dear Editor:","PeriodicalId":54255,"journal":{"name":"IEEE Journal of Translational Engineering in Health and Medicine-Jtehm","volume":"14 ","pages":"263-263"},"PeriodicalIF":3.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11520823","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148478916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multimodal Patient-Specific Identification of Atrial Flutter Circuits From ECG Time Series Using Explainable Machine Learning","authors":"Samuel Ruipérez-Campillo;David Hernando;Elisa Ramírez;Sergio Castrejón;Cecilia Zapata;Carlos Rodríguez Carneiro;Julia E. Vogt;José Luis Merino;Francisco Castells;José Millet","doi":"10.1109/JTEHM.2026.3694616","DOIUrl":"https://doi.org/10.1109/JTEHM.2026.3694616","url":null,"abstract":"Objective:Accurate pre-procedural identification of atrial flutter (AFL) mechanisms can streamline mapping and indirectly inform ablation strategy, yet surface-electrocardiogram (ECG) criteria remain unreliable and circuit definition is typically confirmed invasively.Methods and procedures:We analyzed 97 consecutive patients undergoing electrophysiological (EP) study with simultaneous 12-lead ECG and EP-verified AFL subtype; adenosine-induced atrioventricular AV block enabled extraction of clean atrial segments. We reconstructed atrial vectorcardiograms (VCGs) and engineered interpretable descriptors of loop morphology and kinematics, including archetype cosine correlation, geometric complexity, and velocity-based slow-occupancy indices, then fused these with clinical variables in an explainable tree-ensemble model evaluated with nested cross-validation.Results:VCG loops exhibited subtype-specific archetypes (within-class correlation: <inline-formula> <tex-math>$0.832pm 0.129$ </tex-math></inline-formula> CCCW, <inline-formula> <tex-math>$0.874pm 0.154$ </tex-math></inline-formula> CCW, <inline-formula> <tex-math>$0.647pm 0.127$ </tex-math></inline-formula> PMCCW, <inline-formula> <tex-math>$0.667pm 0.159$ </tex-math></inline-formula> PMCW; C: common; PM: perimitral; CW: clockwise; CCW: counter-CW). On the test set, the multimodal Random-Forest improved discrimination over VCG-only and clinical-only baselines, achieving AUROC of 0.870 (CCCW), 0.900 (CCW), 0.840 (PMCCW), and 0.790 (PMCW), with high sensitivity for common AFL (0.833 and 0.929) and very high specificity for PMCW (0.988).Conclusion:This interpretable framework provides a practical route to non-invasive, mechanism-oriented AFL stratification to support targeted mapping and more efficient ablation planning. Future work will focus on multicenter prospective validation and robust atrial-signal extraction without adenosine to broaden routine applicability.","PeriodicalId":54255,"journal":{"name":"IEEE Journal of Translational Engineering in Health and Medicine-Jtehm","volume":"14 ","pages":"248-262"},"PeriodicalIF":4.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11523481","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148171694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Letter to the Editor on “Consumer Electronics in Healthcare and Medicine: A Report From the EMBS Young Professional Roundtable”","authors":"Declan O’Loughlin;Ilaria Facchi;Neelesh Kumar;Patrycja Lebiecka-Johansen","doi":"10.1109/JTEHM.2026.3697640","DOIUrl":"https://doi.org/10.1109/JTEHM.2026.3697640","url":null,"abstract":"Wearable consumer electronics such as smart watches, rings, and hearables are increasingly used to collect real-time physiological and activity data for health monitoring and disease prevention. As researchers and practitioners at the forefront of wearable technologies in health and medicine, the Young Professionals of EMBS organized a Roundtable Discussion on the 17 July 2025 at the 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’25) to identify key challenges and recommendations for the field and we would like to highlight some key recommendations and insights from our discussions for the broader community.","PeriodicalId":54255,"journal":{"name":"IEEE Journal of Translational Engineering in Health and Medicine-Jtehm","volume":"14 ","pages":"264-264"},"PeriodicalIF":3.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11535828","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148442437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CALM: Cycle-Aware Latent Modeling for Arteriovenous Fistula Assessment Using Audio Foundation Models and Low-Level Descriptors","authors":"Whenty Ariyanti;Ping-Yi Lin;Chia-Yu Hu;Shang-Feng Yang;Shin-Hung Tsai;Li-Ning Peng;Po-Hsun Huang;Hsin-Min Wang;Yu Tsao","doi":"10.1109/JTEHM.2026.3715843","DOIUrl":"https://doi.org/10.1109/JTEHM.2026.3715843","url":null,"abstract":"Objective: Arteriovenous fistula (AVF) dysfunction is a major cause of morbidity in hemodialysis (HD) patients. Although conventional monitoring tools are clinically effective, they are often limited by cost, invasiveness, and operator dependence. This study proposes a cycle-aware, auscultation-based deep learning framework for objective and scalable assessment of AVF blood flow status. Methods and Procedures: We developed CALM, a physiologically informed learning framework that integrates Hilbert-based cycle segmentation with pretrained audio foundation model (AFM) representations. A clinical auscultation dataset (CHGH-AVF) from 188 HD patients at three standardized vascular access sites was collected and labeled using concurrent blood flow measurements. The proposed approach was evaluated on both three-class flow-severity classification (Low, Medium, and High) and binary flow-quality screening (Ideal vs. Unideal). Model variants incorporating domain-specific low-level descriptors and different feature fusion strategies were also investigated. Results: Across all auscultation sites, CALM consistently outperformed conventional handcrafted-feature baselines, deep learning baselines, and classical machine learning-based classifiers in patient-level flow-severity classification. Ablation studies demonstrated that physiologic cycle segmentation substantially improves discriminability, while integrating complementary low-level descriptors (LLDs) further enhanced performance across anatomically different recording locations. Although classification performance remained highest at the proximal sites, reduced performance at the venous site highlighted the influence of anatomical location and signal quality. Strong performance was also observed for binary flow-quality monitoring, particularly at the proximal auscultation sites. Conclusion: The proposed framework demonstrates the feasibility of AFM–based auscultation for non-invasive AVF flow assessment. By combining physiologic signal modeling with foundation model representations, CALM provides a robust and objective framework for automated assessment of vascular access function.Clinical Impact: This work introduces a multi-site clinical AVF auscultation dataset and establishes automated auscultation analysis as a low-cost and scalable adjunct to existing vascular access monitoring practices in HD care.Clinical and Translational Impact Statement: AFM-based auscultation has the potential to support objective screening of AVF dysfunction and may facilitate future integration into bedside or home monitoring systems, enabling more accessible and scalable vascular access monitoring.","PeriodicalId":54255,"journal":{"name":"IEEE Journal of Translational Engineering in Health and Medicine-Jtehm","volume":"14 ","pages":"339-351"},"PeriodicalIF":3.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11618560","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148781108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of a Novel Hands-Free Cheek Holder for Oscillometry Measurements","authors":"C. Veneroni;D. Bizzotto;P. Pompilio;G. Imeri;A. Licini;R. Dellacà;F. Di Marco;M. Cottini","doi":"10.1109/JTEHM.2026.3730277","DOIUrl":"https://doi.org/10.1109/JTEHM.2026.3730277","url":null,"abstract":"Objective: Accurate oscillometry requires minimizing artifacts, particularly those from cheek vibrations, which introduce a parallel (shunt) impedance pathway that distorts measurements. Standard practice includes using a nose clip and manually supporting the cheeks to reduce this effect by stiffening the tissue. This study evaluated the performance of a novel, equipment-integrated cheek holder designed to stabilize the cheeks and improve measurement accuracy without manual support, by comparing it to the current gold-standard (operator-supported cheeks). Methods: Respiratory resistance (Rrs) and reactance (Xrs) at 5 Hz were measured using a handheld oscillometer (FIRST, Restech srl) with the cheek holder and with manual support, in randomized order. Each test was performed in triplicate. Agreement was assessed using Deming regression. Equivalence was defined as the 95% confidence interval (CI) of the regression line falling within the known short-term repeatability: 17% (Rrs) and 37% (Xrs) for adults; 27% and 40% for children, respectively. Results: 55 subjects (age 5–75 years; height 104–185 cm; 56% females) were included for a broad representation of facial characteristics, with lip length ranging from 36 to 67 mm and bigonial breadth from 80 to 155 mm. The bias between methods was not clinically significant for Rrs or Xrs: the 95% confidence intervals (CI) from the Deming regression fell within the expected short-term variability for all evaluated parameters, indicating consistency between the two methods. Conclusion: The novel cheek holder produced impedance measurements comparable to manual support, simplifying oscillometry and potentially improving its reproducibility.","PeriodicalId":54255,"journal":{"name":"IEEE Journal of Translational Engineering in Health and Medicine-Jtehm","volume":"14 ","pages":"390-396"},"PeriodicalIF":3.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11675998","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149131328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"EasyVoid: A Handheld Coandă Effect Uroflowmeter for Accurate and Portable Measurement of Urinary Flow Dynamics","authors":"Ray Chang;Yu-Chen Chen;Hao-Wei Chen;Ruei-Hong Zeng;Manu Prakash","doi":"10.1109/JTEHM.2026.3679932","DOIUrl":"https://doi.org/10.1109/JTEHM.2026.3679932","url":null,"abstract":"Objective: Diagnosis of lower urinary tract symptoms (LUTS) often relies on subjective questionnaires, conventional uroflowmetry or invasive urodynamic study, each with inherent limitations.Methods and procedures: This work presents EasyVoid, a novel handheld device that employs the Coandă effect to enable non-invasive and quantitative measurement of urinary flow. EasyVoid uses a passive fluidic mechanism in which the urinary stream adheres to a curved surface and transfers angular momentum to a helical rotor, allowing direct estimation of flow rate and volume without pressure sensors or weighing systems.Results: EasyVoid simultaneously records key voiding parameters, including flow rate, flow pattern, voiding time, and voided volume, with high temporal precision. In controlled bench-top trials using simulated urine events, measurements obtained from EasyVoid showed strong agreement with standard uroflowmetry across multiple flow patterns.Conclusion: These results demonstrate the potential of EasyVoid for portable and quantitative assessment of urinary flow dynamics, offering a promising solution for remote urinary health monitoring.","PeriodicalId":54255,"journal":{"name":"IEEE Journal of Translational Engineering in Health and Medicine-Jtehm","volume":"14 ","pages":"210-224"},"PeriodicalIF":4.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11471813","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147696188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Toward a Chronic VNS Strategy for Obesity Treatment: Pilot Study on a PFA-Based Neural Interface in Diet-Induced Obese Rabbits","authors":"Jisung Kim;Jane Chungyoon Kim;Kyoungyun Jeong;Jiseon Lee;Jiyeon Shin;Yie-Ri Yoo;Jaeun Yoo;Taekyung Lee;Joowon Lee;Gregg J. Suaning;Jong-Mo Seo;Changhoon Baek;Hyuk-Joon Lee","doi":"10.1109/JTEHM.2026.3708112","DOIUrl":"https://doi.org/10.1109/JTEHM.2026.3708112","url":null,"abstract":"Subdiaphragmatic vagus nerve stimulation (VNS) is being explored as a device-based option for obesity, but translation is limited by the lack of standardized implantation workflows and cuff electrodes that remain stable at the cuff–nerve interface in a moist in vivo environment. Here, we aimed to establish a bench-to–in vivo feasibility platform that integrates a microfabrication-compatible perfluoroalkoxy alkane (PFA) film cuff with a reproducible rabbit surgical procedure and sham-controlled evaluation. The cuff electrode was fabricated using MEMS-based processes and characterized on the bench (impedance/charge metrics), then implanted on the subdiaphragmatic vagus nerve in diet-induced obese rabbits assigned to sham or intermittent VNS at graded current levels (total n = 8; n = 2/group). Body weight was tracked as an exploratory outcome under variable delivered exposure. During the stimulation window, weight trajectories showed heterogeneous, non-monotonic patterns across current levels, with partial rebound after stimulation cessation. Gross inspection and hematoxylin and eosin (H&E) histology indicated preserved fascicular organization with a thin peri-neural fibrotic capsule, assessed qualitatively in this pilot cohort. Overall, these results support feasibility of reproducible subdiaphragmatic implantation and cuff–nerve interface operation and motivate powered studies with exposure-matched delivery logging and expanded metabolic and longitudinal endpoints. Clinical and Impact: This work de-risks translation of subdiaphragmatic VNS by combining a scalable PFA-based cuff electrode with a reproducible intermediate-sized animal implantation workflow and conservative charge-density operation. The platform enables the next step: powered, controlled studies that optimize dosing and add metabolic and longitudinal interface endpoints relevant to implantable obesity neuromodulation.","PeriodicalId":54255,"journal":{"name":"IEEE Journal of Translational Engineering in Health and Medicine-Jtehm","volume":"14 ","pages":"309-319"},"PeriodicalIF":3.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11586062","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148478936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"EYE3DPHANTOM: A Novel 3-D-Printed Ophthalmic Phantom for Advanced Surgical Training","authors":"Nada Khaled Mansour;Arianna Callera;Giulia De Cristofaro;Federica Potere;Francesco De Gaetano;Mario R Romano;Andrea Govetto;Cecilia Cappelli;Paolo Oliva","doi":"10.1109/JTEHM.2026.3718691","DOIUrl":"https://doi.org/10.1109/JTEHM.2026.3718691","url":null,"abstract":"Simulation-based surgical training is essential in ophthalmology; however, existing eye models fail to accurately reproduce the anatomy and biomechanics of the posterior segment, thereby limiting their utility for advanced procedures. In this work, we developed Eye-3DP, ta layered multi-material 3D-printed posterior-segment phantom designed to reproduce the structure and the mechanical properties of the sclera, choroid, and retina. Unlike current synthetic or animal models, Eye-3DP provides a reproducible platform for practicing delicate steps crucial in subretinal drug delivery, supporting the formation of subretinal blebs, a delicate step crucial for training subretinal drug delivery. Mechanical testing confirmed a close similarity to biological tissues, and surgical validation with ophthalmic trainees demonstrated successful vitrectomy and subretinal injections. Eye-3DP represents a promising and ethically sustainable training platform for vitreoretinal surgery and subretinal drug delivery, potentially bridging a critical gap in ophthalmic education, although further validation is required to fully demonstrate its educational and clinical relevance.","PeriodicalId":54255,"journal":{"name":"IEEE Journal of Translational Engineering in Health and Medicine-Jtehm","volume":"14 ","pages":"320-329"},"PeriodicalIF":3.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11635845","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148747047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Wavelet-Based Tremor Quantification From Wrist-Worn Sensor Data in Home-Dwelling People With Parkinson’s Disease","authors":"Haakon Reithe;Monica Patrascu;Juan C. Torrado;Elise Førsund;Bettina S. Husebo;Simon U. Kverneng;Erika Sheard;Charalampos Tzoulis;Brice Marty","doi":"10.1109/JTEHM.2025.3648704","DOIUrl":"https://doi.org/10.1109/JTEHM.2025.3648704","url":null,"abstract":"Objective: Tremor symptoms in Parkinson’s disease (PD) are challenging to assess due to low resolution and subjectivity from standard clinical scales. To address this, wearable devices have been used, but algorithms have been relying on controlled or limited activity conditions. Our objective is to create a context-independent metric quantifying tremor in free-living conditions to bridge the gap between biomedical engineering and the PD field. Methods and Procedures: We designed an algorithm which computes a tremor index (TI) from accelerometer data, collected via the Empatica E4 worn on the wrist by home dwelling people with PD. For validation, we use a within-participant design, comparing the TIs of the most and least tremor-affected hand. We included seven participants with unilateral tremor, monitored for two weeks each. The algorithm is able to compute TIs for a set of frequencies identified in literature as associated with different tremor types (3–12 Hz), over adjustable sampling time windows. Results: We show that the most tremor-affected hand yields a higher TI than the other hand for frequency sets that are individual to each person, in particular around 5-6 Hz where rest tremor typically occurs. We find that we can disambiguate tremor across 3-12 Hz from general movement and resting states. The number of frequencies with inter-hand separation correlate with the MDS-UPDRS part III tremor items. Conclusion: The designed tremor quantification algorithm can quantify tremor symptoms over time for people with PD and can be used to identify the individualized frequency ranges where these movements happen, in free-living conditions.","PeriodicalId":54255,"journal":{"name":"IEEE Journal of Translational Engineering in Health and Medicine-Jtehm","volume":"14 ","pages":"19-28"},"PeriodicalIF":4.4,"publicationDate":"2025-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11316150","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145982246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}