Pub Date : 2026-03-09DOI: 10.1109/OJIM.2026.3670516
Narges Ghobadi;Tony Szturm;Nariman Sepehri
Accurate estimation of finger bending angles is essential in rehabilitation, as it enables precise assessment of a patient’s joint motion and recovery progress. Soft robotic devices can leverage this information to provide adaptive and safe assistance, facilitating effective and personalized therapy sessions. In this article, a soft pneumatic actuator designed for the index finger is utilized to assist finger movements during rehabilitation. Because the actuator’s bending behavior depends on the internal pressure, a Gaussian process (GP) is employed to learn the nonlinear relationship between pressure and bending angle. The unscented Kalman filter (UKF) then fuses these GP-based predictions with vision-based keypoint measurements using a red, green, blue-depth (RGBD) camera to achieve robust and low-latency angle estimation for real-time control. A lightweight detection model is developed that identifies visual keypoints on the actuator’s surface with 98% precision, from which bending angles are derived. The system achieves an average frame capture time of 18.26 ms and a processing time of 13.20 ms, resulting in a total delay of 31.46 ms per frame. Quantitative evaluation demonstrates that the proposed GP–UKF fusion achieves root-mean-square error (RMSE) values of 2.32° metacarpophalangeal (MCP) and 2.64° proximal interphalangeal (PIP), improving accuracy compared to camera-only estimation (4.24°, 4.80°) and providing comparable performance to GP-only predictions (2.61°, 1.31°) while maintaining an average uncertainty of ±2.48° within the 95% confidence interval (CI). UKF effectively reduces visual jitter, correcting keypoint shifts of up to ±5 pixels and ensuring smooth angle trajectories even under noisy or partially occluded conditions. Unlike previous fusion approaches that relied solely on deterministic estimates, the proposed GP–UKF framework explicitly incorporates and propagates uncertainty from the pressure–angle model that enables reliable and interpretable real-time estimation for soft actuators under occlusion. Experimental validation on a soft actuator designed for rehabilitation demonstrates that the proposed GP–UKF fusion framework enables stable and reliable real-time angle estimation using only a camera and without requiring additional hardware sensors. The proposed system offers strong potential for adaptive, safe, and patient-tailored rehabilitation systems.
{"title":"Real-Time Vision-Based Bending Angle Estimation in a Soft Robotic Actuator Using Gaussian Processes and Kalman Filtering","authors":"Narges Ghobadi;Tony Szturm;Nariman Sepehri","doi":"10.1109/OJIM.2026.3670516","DOIUrl":"https://doi.org/10.1109/OJIM.2026.3670516","url":null,"abstract":"Accurate estimation of finger bending angles is essential in rehabilitation, as it enables precise assessment of a patient’s joint motion and recovery progress. Soft robotic devices can leverage this information to provide adaptive and safe assistance, facilitating effective and personalized therapy sessions. In this article, a soft pneumatic actuator designed for the index finger is utilized to assist finger movements during rehabilitation. Because the actuator’s bending behavior depends on the internal pressure, a Gaussian process (GP) is employed to learn the nonlinear relationship between pressure and bending angle. The unscented Kalman filter (UKF) then fuses these GP-based predictions with vision-based keypoint measurements using a red, green, blue-depth (RGBD) camera to achieve robust and low-latency angle estimation for real-time control. A lightweight detection model is developed that identifies visual keypoints on the actuator’s surface with 98% precision, from which bending angles are derived. The system achieves an average frame capture time of 18.26 ms and a processing time of 13.20 ms, resulting in a total delay of 31.46 ms per frame. Quantitative evaluation demonstrates that the proposed GP–UKF fusion achieves root-mean-square error (RMSE) values of 2.32° metacarpophalangeal (MCP) and 2.64° proximal interphalangeal (PIP), improving accuracy compared to camera-only estimation (4.24°, 4.80°) and providing comparable performance to GP-only predictions (2.61°, 1.31°) while maintaining an average uncertainty of ±2.48° within the 95% confidence interval (CI). UKF effectively reduces visual jitter, correcting keypoint shifts of up to ±5 pixels and ensuring smooth angle trajectories even under noisy or partially occluded conditions. Unlike previous fusion approaches that relied solely on deterministic estimates, the proposed GP–UKF framework explicitly incorporates and propagates uncertainty from the pressure–angle model that enables reliable and interpretable real-time estimation for soft actuators under occlusion. Experimental validation on a soft actuator designed for rehabilitation demonstrates that the proposed GP–UKF fusion framework enables stable and reliable real-time angle estimation using only a camera and without requiring additional hardware sensors. The proposed system offers strong potential for adaptive, safe, and patient-tailored rehabilitation systems.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"5 ","pages":"1-18"},"PeriodicalIF":1.5,"publicationDate":"2026-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11426797","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147440671","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}
Pub Date : 2026-02-04DOI: 10.1109/OJIM.2026.3660504
{"title":"2025 Index IEEE Open Journal of Instrumentation and Measurement","authors":"","doi":"10.1109/OJIM.2026.3660504","DOIUrl":"https://doi.org/10.1109/OJIM.2026.3660504","url":null,"abstract":"","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"4 ","pages":"1-19"},"PeriodicalIF":1.5,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11371758","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146175701","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}
Pub Date : 2026-01-26DOI: 10.1109/OJIM.2026.3654828
{"title":"OJIM 2025 Reviewer List","authors":"","doi":"10.1109/OJIM.2026.3654828","DOIUrl":"https://doi.org/10.1109/OJIM.2026.3654828","url":null,"abstract":"","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"5 ","pages":"1-5"},"PeriodicalIF":1.5,"publicationDate":"2026-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11363666","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146082173","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}
Pub Date : 2026-01-01DOI: 10.1109/OJIM.2025.3650259
Swathi Muthyala Ramesh;Kristen M. Donnell
Frequency selective surfaces (FSSs) are arrays of conductive elements or apertures that exhibit frequency-dependent reflection and transmission properties. Their electromagnetic response is influenced by geometry and environmental conditions, making them attractive for wireless strain-sensing applications. However, temperature variations can produce frequency shifts similar to those caused by strain, reducing measurement accuracy. This work investigates the effects of intrinsic temperature compensation on two common FSS unit cell geometries—loop and patch—through comprehensive simulation analysis. The results show that loop-based cells offer superior thermal stability, while patch-based cells provide greater strain sensitivity, illustrating the tradeoff between thermal robustness and mechanical responsiveness. A patch-type FSS strain sensor was designed, fabricated, and characterized under varying temperature and strain. The sensor achieves a strain sensitivity of ~150 MHz per 1%${varepsilon }_{l}$ , while temperature-induced drift is limited to ~12 MHz over a 200°C range, confirming the effectiveness of the intrinsic compensation strategy. The results provide valuable insights for optimizing FSS-based sensor design in structural health monitoring applications and balancing thermal stability with mechanical sensitivity to ensure reliable performance in thermally dynamic environments.
{"title":"Temperature Compensation in Loop and Patch FSS Strain Sensors: Analysis and Experimental Validation","authors":"Swathi Muthyala Ramesh;Kristen M. Donnell","doi":"10.1109/OJIM.2025.3650259","DOIUrl":"https://doi.org/10.1109/OJIM.2025.3650259","url":null,"abstract":"Frequency selective surfaces (FSSs) are arrays of conductive elements or apertures that exhibit frequency-dependent reflection and transmission properties. Their electromagnetic response is influenced by geometry and environmental conditions, making them attractive for wireless strain-sensing applications. However, temperature variations can produce frequency shifts similar to those caused by strain, reducing measurement accuracy. This work investigates the effects of intrinsic temperature compensation on two common FSS unit cell geometries—loop and patch—through comprehensive simulation analysis. The results show that loop-based cells offer superior thermal stability, while patch-based cells provide greater strain sensitivity, illustrating the tradeoff between thermal robustness and mechanical responsiveness. A patch-type FSS strain sensor was designed, fabricated, and characterized under varying temperature and strain. The sensor achieves a strain sensitivity of ~150 MHz per 1%<inline-formula> <tex-math>${varepsilon }_{l}$ </tex-math></inline-formula>, while temperature-induced drift is limited to ~12 MHz over a 200°C range, confirming the effectiveness of the intrinsic compensation strategy. The results provide valuable insights for optimizing FSS-based sensor design in structural health monitoring applications and balancing thermal stability with mechanical sensitivity to ensure reliable performance in thermally dynamic environments.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"5 ","pages":"1-13"},"PeriodicalIF":1.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11321304","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145929500","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}
Pub Date : 2025-12-17DOI: 10.1109/OJIM.2025.3640443
Meng Lu;Manojit Pramanik
{"title":"Guest Editorial of Special Section on Biomedical Instrumentation for Sensing and Measurement","authors":"Meng Lu;Manojit Pramanik","doi":"10.1109/OJIM.2025.3640443","DOIUrl":"https://doi.org/10.1109/OJIM.2025.3640443","url":null,"abstract":"","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"4 ","pages":"1-2"},"PeriodicalIF":1.5,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11301669","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145778199","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}
Pub Date : 2025-12-10DOI: 10.1109/OJIM.2025.3638528
{"title":"IEEE Instrumentation and Measurement Society","authors":"","doi":"10.1109/OJIM.2025.3638528","DOIUrl":"https://doi.org/10.1109/OJIM.2025.3638528","url":null,"abstract":"","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"4 ","pages":"C3-C3"},"PeriodicalIF":1.5,"publicationDate":"2025-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11296864","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145729433","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}
Pub Date : 2025-12-10DOI: 10.1109/OJIM.2025.3638527
{"title":"IEEE Instrumentation and Measurement Society","authors":"","doi":"10.1109/OJIM.2025.3638527","DOIUrl":"https://doi.org/10.1109/OJIM.2025.3638527","url":null,"abstract":"","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"4 ","pages":"C2-C2"},"PeriodicalIF":1.5,"publicationDate":"2025-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11296842","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145729285","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}
This article presents a comprehensive assessment of power quality (PQ) disturbances in the industrial power network of the Deutsches Elektronen-Synchrotron (DESY), a leading research facility for particle physics. The study leverages high-resolution measurements (7-days) from Fluke 435 Series II and long-term monitoring data (6-months) from Janitza UMG 512 analyzers to characterize PQ issues. Measurement data were collected from various substations and Points of Common Coupling (PCC) to evaluate harmonics, voltage fluctuations, flicker, and transient events. The high-resolution data (sampled at 500 ms) revealed voltage deviations of up to ±4%, current unbalance exceeding ±10%, and flicker spikes reaching 0.63 Pst, all attributed to nonlinear load dynamics and switching events. In total, 17 voltage swell events and 12 dips were recorded, along with 6 transient disturbances linked to PETRA’s 12-pulse converter operations. Also, voltage and current total harmonic distortion (THD) levels peaked at 3.6% and 7.5%, respectively, breaching IEEE 519 thresholds under dynamic loading. These findings highlight the necessity of coordinated PQ monitoring strategies and support the development of predictive, data-driven PQ management frameworks tailored to mission-critical industrial networks.
本文介绍了德国电子同步加速器（DESY）工业电网中电能质量（PQ）扰动的综合评估，DESY是粒子物理学的领先研究设施。该研究利用Fluke 435 Series II的高分辨率测量（7天）和Janitza UMG 512分析仪的长期监测数据（6个月）来表征PQ问题。测量数据从不同的变电站和共耦合点（PCC）收集，以评估谐波、电压波动、闪烁和瞬态事件。高分辨率数据（在500 ms采样）显示电压偏差高达±4%，电流不平衡超过±10%，闪烁峰值达到0.63 Pst，所有这些都归因于非线性负载动态和开关事件。总共记录了17次电压膨胀事件和12次电压下降，以及6次与PETRA的12脉冲转换器操作相关的瞬态干扰。电压和电流总谐波失真（THD）峰值分别为3.6%和7.5%，突破了IEEE 519动态负载阈值。这些发现强调了协调PQ监测策略的必要性，并支持针对关键任务工业网络量身定制的预测性、数据驱动的PQ管理框架的开发。
{"title":"Assessment of Power Quality in an Industrial Facility: A Case Study at DESY Hamburg","authors":"Sulaiman Elrajoubi;Markus Faesing;Hans-Jörg Eckoldt;Ferdinanda Ponci;Antonello Monti","doi":"10.1109/OJIM.2025.3629874","DOIUrl":"https://doi.org/10.1109/OJIM.2025.3629874","url":null,"abstract":"This article presents a comprehensive assessment of power quality (PQ) disturbances in the industrial power network of the Deutsches Elektronen-Synchrotron (DESY), a leading research facility for particle physics. The study leverages high-resolution measurements (7-days) from Fluke 435 Series II and long-term monitoring data (6-months) from Janitza UMG 512 analyzers to characterize PQ issues. Measurement data were collected from various substations and Points of Common Coupling (PCC) to evaluate harmonics, voltage fluctuations, flicker, and transient events. The high-resolution data (sampled at 500 ms) revealed voltage deviations of up to ±4%, current unbalance exceeding ±10%, and flicker spikes reaching 0.63 Pst, all attributed to nonlinear load dynamics and switching events. In total, 17 voltage swell events and 12 dips were recorded, along with 6 transient disturbances linked to PETRA’s 12-pulse converter operations. Also, voltage and current total harmonic distortion (THD) levels peaked at 3.6% and 7.5%, respectively, breaching IEEE 519 thresholds under dynamic loading. These findings highlight the necessity of coordinated PQ monitoring strategies and support the development of predictive, data-driven PQ management frameworks tailored to mission-critical industrial networks.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"4 ","pages":"1-11"},"PeriodicalIF":1.5,"publicationDate":"2025-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11236960","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145729292","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}
Pub Date : 2025-10-23DOI: 10.1109/OJIM.2025.3619249
Paritosh Manurkar;Sudantha Perera;Kate A. Remley;Dylan F. Williams;Mohamed Kashef;Joshua M. Kast;Robert D. Horansky
We present a straightforward and systematic approach for identifying the dominant uncertainties related to vector network analyzer measurements of chambers utilized for free-field test of wireless devices. We assess the uncertainty related to long cable runs and discuss the tradeoffs between the ease of calibration due to the choice of calibration location and the resulting measurement uncertainty. We illustrate these concepts by assessing the combined uncertainty in the power-delay profile and angle-of-arrival of reflected signals within a hybrid anechoic/reflective chamber for three common calibration locations. The framework presented here allows users to quantitatively consider the tradeoffs between uncertainty and ease-of-measurement that are uniquely important to over-the-air chamber-based measurements.
{"title":"Two-Tier Vector-Network-Analyzer Calibrations for Uncertainties in Laboratory-Based Over-the-Air and Channel Measurements","authors":"Paritosh Manurkar;Sudantha Perera;Kate A. Remley;Dylan F. Williams;Mohamed Kashef;Joshua M. Kast;Robert D. Horansky","doi":"10.1109/OJIM.2025.3619249","DOIUrl":"https://doi.org/10.1109/OJIM.2025.3619249","url":null,"abstract":"We present a straightforward and systematic approach for identifying the dominant uncertainties related to vector network analyzer measurements of chambers utilized for free-field test of wireless devices. We assess the uncertainty related to long cable runs and discuss the tradeoffs between the ease of calibration due to the choice of calibration location and the resulting measurement uncertainty. We illustrate these concepts by assessing the combined uncertainty in the power-delay profile and angle-of-arrival of reflected signals within a hybrid anechoic/reflective chamber for three common calibration locations. The framework presented here allows users to quantitatively consider the tradeoffs between uncertainty and ease-of-measurement that are uniquely important to over-the-air chamber-based measurements.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"4 ","pages":"1-17"},"PeriodicalIF":1.5,"publicationDate":"2025-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11214490","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145778160","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}
Pub Date : 2025-10-16DOI: 10.1109/OJIM.2025.3619319
Maximilian Noll;Sören Kohnert;Pau Caldero;Christoph Seidel
In this study, an approach to self-localization for rail vehicles using ground-penetrating radar (GPR) is evaluated. This method involves matching a current measurement window with a prerecorded map. Typical substructure and superstructure materials of railway lines are analyzed, and their effects on GPR imaging are discussed. An initial preprocessing chain is introduced, and the properties of processed GPR scans are examined. Three specific measurement properties that reduce the comparability of preprocessed measurement windows, thus hindering matching, are identified and explained. To address these challenges, a normalization-based correlation approach is proposed, which scales the data to counteract disruptive properties. Its performance is evaluated by its matching success rate over a 24 km route with four track types, including ballasted and ballastless tracks. Within a 10 km search range, successful matches were possible in 53.8% of the cases for ballastless tracks with sound absorbers and 99.4% for mixed ballastless and ballasted tracks.
{"title":"Investigation of GPR-Based Self-Localization for Rail Vehicles: Evaluating Track Structures and a Correlation-Based Approach","authors":"Maximilian Noll;Sören Kohnert;Pau Caldero;Christoph Seidel","doi":"10.1109/OJIM.2025.3619319","DOIUrl":"https://doi.org/10.1109/OJIM.2025.3619319","url":null,"abstract":"In this study, an approach to self-localization for rail vehicles using ground-penetrating radar (GPR) is evaluated. This method involves matching a current measurement window with a prerecorded map. Typical substructure and superstructure materials of railway lines are analyzed, and their effects on GPR imaging are discussed. An initial preprocessing chain is introduced, and the properties of processed GPR scans are examined. Three specific measurement properties that reduce the comparability of preprocessed measurement windows, thus hindering matching, are identified and explained. To address these challenges, a normalization-based correlation approach is proposed, which scales the data to counteract disruptive properties. Its performance is evaluated by its matching success rate over a 24 km route with four track types, including ballasted and ballastless tracks. Within a 10 km search range, successful matches were possible in 53.8% of the cases for ballastless tracks with sound absorbers and 99.4% for mixed ballastless and ballasted tracks.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"4 ","pages":"1-15"},"PeriodicalIF":1.5,"publicationDate":"2025-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11205510","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145778162","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}
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