Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference最新文献_第7页

Deep Learning Method for Estimating Germ-layer Regions of Early Differentiated Human Induced Pluripotent Stem Cells on Micropattern Using Bright-field Microscopy Image.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Pub Date : 2024-07-01 DOI: 10.1109/EMBC53108.2024.10782655

Slo-Li Chu, Hideo Yokota, Pai-Ting Wang, Kuniya Abe, Yohei Hayashi, Dooseon Cho, Ming-Dar Tsai

{"title":"Deep Learning Method for Estimating Germ-layer Regions of Early Differentiated Human Induced Pluripotent Stem Cells on Micropattern Using Bright-field Microscopy Image.","authors":"Slo-Li Chu, Hideo Yokota, Pai-Ting Wang, Kuniya Abe, Yohei Hayashi, Dooseon Cho, Ming-Dar Tsai","doi":"10.1109/EMBC53108.2024.10782655","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10782655","url":null,"abstract":"Live cell staining is expensive and may bring potential safety issues in downstream clinical applications, bright-field images rather than staining images should be more suitable to reveal time-series changes of differentiating hiPSCs (human induced pluripotent stem cells) and three-germ layers differentiated from the hiPSCs. This study proposed a deep learning method for estimating immunofluorescence regions on a bright-field microscopy images. The networks trained by multiple types of fluorescence images can estimate the types of fluorescence images from a bright-field image. The estimated pseudo Hoechst image is used to segment hiPSCs, and the others classify the segmented hiPSCs as respective germ-layer cells. The experimental results show over 75% correct rates for the segmentation and classification were achieved, indicating the proposed method can be useful tool in evaluating pluripotency of hiPSC and delineating the germ layer formation process without cell staining.","PeriodicalId":72237,"journal":{"name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","volume":"2024 ","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143559243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ex vivo studies of efficacy of DeepFocus: a technique for minimally-invasive deep-brain stimulation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Pub Date : 2024-07-01 DOI: 10.1109/EMBC53108.2024.10781751

Yuhyun Lee, Vishal Jain, Maysamreza Chamanzar, Pulkit Grover, Mats Forssell

{"title":"Ex vivo studies of efficacy of DeepFocus: a technique for minimally-invasive deep-brain stimulation.","authors":"Yuhyun Lee, Vishal Jain, Maysamreza Chamanzar, Pulkit Grover, Mats Forssell","doi":"10.1109/EMBC53108.2024.10781751","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10781751","url":null,"abstract":"Invasive deep-brain stimulation is increasingly being investigated as a treatment for neural disorders. A non-invasive alternative for deep-brain neuromodulation would likely broaden the range of application. However, existing techniques, such as transcranial electrical or magnetic stimulation (TES, TMS), are limited in their depth of stimulation. In this work, we propose DeepFocus, a new minimally invasive approach for stimulation of the deep brain by inserting electrodes in nasal cavities in conjunction with conventional scalp electrodes. As an initial step, an ex vivo model was designed to quantify the current efficiency of the proposed electrode placement in eliciting neural responses. A simplified geometric configuration was employed, where two linear electrode arrays arranged perpendicularly were used to elicit local field potentials (LFP) in mouse brain slices. Through a combination of finite element simulations to model the electric fields, and LFP measurements, we observed that electrode-patterns that use both arrays (modeling transnasal and scalp electrodes) generated higher electric fields and required less current to evoke responses compared to those that use only a single array (modeling scalp-only or transnasal-only). The benefits of two-array stimulation increased as the distance between the electrodes and the brain slice was increased. In addition, we observed that the relative orientation of the electric field compared to the cortical columns affected the neural responses.","PeriodicalId":72237,"journal":{"name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","volume":"2024 ","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143559245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Non-invasive stroke diagnosis using speech data from dysarthria patients.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Pub Date : 2024-07-01 DOI: 10.1109/EMBC53108.2024.10781716

Sae Byeol Mun, Young Jae Kim, Kwang Gi Kim

引用次数: 0

Reproduction of central-brachial-radial arterial blood pressure wave propagation using a cardiovascular hardware simulator.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Pub Date : 2024-07-01 DOI: 10.1109/EMBC53108.2024.10782911

Jae-Hak Jeong, Bomi Lee, Junki Hong, Changhee Min, Adelle Ria Persad, Yong-Hwa Park

{"title":"Reproduction of central-brachial-radial arterial blood pressure wave propagation using a cardiovascular hardware simulator.","authors":"Jae-Hak Jeong, Bomi Lee, Junki Hong, Changhee Min, Adelle Ria Persad, Yong-Hwa Park","doi":"10.1109/EMBC53108.2024.10782911","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10782911","url":null,"abstract":"This study reproduced changes according to the central-brachial-radial blood pressure wave propagation using a cardiovascular hardware simulator. Blood pressure is a key indicator of cardiovascular health, and its importance has recently emerged, and research into the correlation between the two is in progress. This requires a large amount of clinical data, but the amount and distribution are limited. The hardware simulator in this study mimics the structure and properties of the human cardiovascular system. This reproduces the pulse wave velocity and the generation of a blood pressure wave. The reproduced central-brachial-radial blood pressure waves are similar to those of humans in magnitude, waveform, and changes due to propagation. Blood pressure waves propagate from the central aorta to the radial artery, showing waveform changes due to systolic amplification and reduced overlap area. Reproducing these blood pressure waveforms can compensate for the lack of quantity and quality in clinical data. In the future, it can be expanded to a testbed for health sensors and research on the origin of bio-signals through the addition of upper arm and wrist phantoms.","PeriodicalId":72237,"journal":{"name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","volume":"2024 ","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143559810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimizing Magnetic Induction Sensors for Non-Obtrusive Vital Signs Monitoring: Impact of Current Control on Operational Quality.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Pub Date : 2024-07-01 DOI: 10.1109/EMBC53108.2024.10782633

Mahdi Momeni, Adrian Radomski, Ulkuhan Guler, Daniel Teichmann

{"title":"Optimizing Magnetic Induction Sensors for Non-Obtrusive Vital Signs Monitoring: Impact of Current Control on Operational Quality.","authors":"Mahdi Momeni, Adrian Radomski, Ulkuhan Guler, Daniel Teichmann","doi":"10.1109/EMBC53108.2024.10782633","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10782633","url":null,"abstract":"This paper investigates the advancement of magnetic induction-based heart and respiration rate sensing by actively controlling the coil current. This is realized through the implementation of a current-starved inverter mechanism. Experiments show a notable level of accuracy of the proposed circuit in measuring heart and respiration activity when compared to a reference sensor. The direct manipulation of current levels was found to have a direct impact on the signal strength. Incrementing the overall current within the proposed circuit from 60 mA to 100 mA resulted in an augmentation of the output amplitude of the heart rate signal from 8.5 mV to 27 mV, accompanied by a marginal enhancement in beat-to-beat interval accuracy. Moreover, the proposed sensor demonstrates noteworthy precision in monitoring the respiratory rate when compared with the reference sensor under different current values, exhibiting the same trend in signal strength. This finding offers valuable insight for the development of future power-optimized magnetic induction sensors with enhanced robustness.","PeriodicalId":72237,"journal":{"name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","volume":"2024 ","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143559814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Residual Neural Networks for the Prediction of the Regularization Parameters in PET Reconstruction.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Pub Date : 2024-07-01 DOI: 10.1109/EMBC53108.2024.10782195

Younes Moussaoui, Diana Mateus, Said Moussaoui, Thomas Carlier, Simon Stute

{"title":"Residual Neural Networks for the Prediction of the Regularization Parameters in PET Reconstruction.","authors":"Younes Moussaoui, Diana Mateus, Said Moussaoui, Thomas Carlier, Simon Stute","doi":"10.1109/EMBC53108.2024.10782195","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10782195","url":null,"abstract":"Positron Emission Tomography (PET) is a medical imaging modality relying on numerical methods that integrate the statistical properties of the measurements and prior assumptions about the images. In order to maximize the computed image quality, PET reconstruction algorithms require the setting of hyperparameters that balance data fidelity with regularization. However, their optimal tuning depends on the statistical properties of the raw data and on the clinical objectives. To address this issue, we propose a supervised deep learning strategy based on a residual neural network that takes the raw measured data (sinogram) as input and automatically predicts the optimal value of the regularization parameter of the modified block Sequential Regularized Expectation Maximization (BSREM) algorithm. The proposed strategy is trained on a synthetic dataset consisting of 2D sinograms and their corresponding optimal regularization parameters. Our results demonstrate the feasibility of the approach leading to improved image reconstruction compared to classical manual tuning methods.","PeriodicalId":72237,"journal":{"name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","volume":"2024 ","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143559821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Predicting Early Deterioration in Lower Acuity Telehealth Patients Using Gradient Boosting.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Pub Date : 2024-07-01 DOI: 10.1109/EMBC53108.2024.10782253

Ricardo Ricci Lopes, Holly Chavez, Louis Atallah

{"title":"Predicting Early Deterioration in Lower Acuity Telehealth Patients Using Gradient Boosting.","authors":"Ricardo Ricci Lopes, Holly Chavez, Louis Atallah","doi":"10.1109/EMBC53108.2024.10782253","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10782253","url":null,"abstract":"Timely recognition of physiological abnormalities is vital for early intervention, potentially preventing adverse outcomes and minimizing the need for transfer to a higher level of care. This is a primary focus of telehealth monitoring in which remote clinicians utilize population management to identify and prioritize patients of concern or instability. This work proposes an Early Warning Score model based on gradient boosting, emphasizing prompt deterioration detection, especially tailored to patients in lower acuity units (e.g. - medical/surgical) who are also receiving telehealth monitoring. Data included 36,963 patient encounters from the eICU Research Institute database. The model utilizes 35 features extracted from demographics, vital signs, and laboratory data. It showed enhanced performance in comparison to a version of the Modified Early Warning Score (MEWS*) that considers age and oxygen saturation instead of the level of consciousness. The model achieved an AUROC of 0.79 and AUPRC of 0.28, 24 hours before deterioration, surpassing MEWS* with values of 0.67 and 0.07, respectively. Within an hour before deterioration happens, the proposed model achieved an AUROC of 0.86 and AUPRC of 0.42 while MEWS* achieved 0.74 and 0.21, respectively. Future investigations will focus on exploring the impact of missing data, continuous performance for individual patients, and integration into clinical workflows.","PeriodicalId":72237,"journal":{"name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","volume":"2024 ","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143559840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Predicting Lymph Node Metastasis of Lung Cancer: A Two-stage Multimodal Data Fusion Approach.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Pub Date : 2024-07-01 DOI: 10.1109/EMBC53108.2024.10782471

Danqing Hu, Bing Liu, Xiaofeng Zhu, Xudong Lu, Nan Wu

{"title":"Predicting Lymph Node Metastasis of Lung Cancer: A Two-stage Multimodal Data Fusion Approach.","authors":"Danqing Hu, Bing Liu, Xiaofeng Zhu, Xudong Lu, Nan Wu","doi":"10.1109/EMBC53108.2024.10782471","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10782471","url":null,"abstract":"Lung cancer is the leading cause of cancer death worldwide. Lymph node metastasis (LNM) status plays a vital role in determining the initial treatment for lung cancer patients, but it is difficult to diagnose accurately before surgery. Developing an LNM prediction model using multimodal data is the mainstream solution for this clinical problem. However, the current multimodal fusion methods may suffer from performance degradation when one type of modal data has poor predictive performance. In this study, we presented a two-stage multimodal data fusion approach to alleviate this problem. We first constructed unimodal prediction models using unimodal data separately and then used the encoders of the unimodal with frozen parameters as feature extractors and re-trained a new decoder to achieve the multimodal data fusion. We conducted experiments on real clinical multimodal data of 681 lung cancer patients collected from Peking University Cancer Hospital. Experimental results show that the proposed approach outperformed the state-of-the-art LNM prediction models and different multimodal fusion strategies. We conclude that the proposed method is a good option for multimodal data fusion when image data has poor discriminative performance.","PeriodicalId":72237,"journal":{"name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","volume":"2024 ","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143559874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Methodology for Measurement in Vivo Ankle Joint Kinematics after Two Different Types of Total Ankle Arthroplasty.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Pub Date : 2024-07-01 DOI: 10.1109/EMBC53108.2024.10782043

Rea Ikeda, Hiroaki Kurokawa, Shinichi Kosugi, Yasuhito Tanaka, Masataka Yamamoto, Hiroshi Takemura

{"title":"Methodology for Measurement in Vivo Ankle Joint Kinematics after Two Different Types of Total Ankle Arthroplasty.","authors":"Rea Ikeda, Hiroaki Kurokawa, Shinichi Kosugi, Yasuhito Tanaka, Masataka Yamamoto, Hiroshi Takemura","doi":"10.1109/EMBC53108.2024.10782043","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10782043","url":null,"abstract":"Revision surgery due to relatively high rates of loosening and implant subsidence is one of critical problems after total ankle arthroplasty (TAA). In Japan, ahead of the world, two types of TAA with differently shaped alumina ceramic implants are being used in recently. For one type, Standard TAA, an analysis of ankle joint kinematics after replacement has been performed. However, the method is specific to its implant for standard TAA, and ankle joint kinematics after the other type, Combined TAA, has not been analyzed or compared in terms of kinematics. In addition, the previous method has critical issue of reproducibility because it includes manual processes. The purpose of this study is to develop in vivo kinematics analysis method of ankle joint after Standard TAA and Combined TAA that can be used to compare them. Definition of reference systems using common implant shapes features enabled kinematics analysis independent of its shape. Also, calculating ankle joint kinematics using iterative closest point (ICP) algorithm enabled a uniform analysis without any manual processes. The proposed method allows comparison of ankle joint kinematics after Standard TAA and Combined TAA with automatically and reproducibility. The analysis results may lead to the development of optimal implant shapes.","PeriodicalId":72237,"journal":{"name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","volume":"2024 ","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143559876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deep Learning-Based Estimation of Arterial Stiffness from PPG Spectrograms: A Novel Approach for Non-Invasive Cardiovascular Diagnostics.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Pub Date : 2024-07-01 DOI: 10.1109/EMBC53108.2024.10782553

Kiana Pilevar Abrisham, Khalil Alipour, Bahram Tarvirdizadeh, Mohammad Ghamari

{"title":"Deep Learning-Based Estimation of Arterial Stiffness from PPG Spectrograms: A Novel Approach for Non-Invasive Cardiovascular Diagnostics.","authors":"Kiana Pilevar Abrisham, Khalil Alipour, Bahram Tarvirdizadeh, Mohammad Ghamari","doi":"10.1109/EMBC53108.2024.10782553","DOIUrl":"https://doi.org/10.1109/EMBC53108.2024.10782553","url":null,"abstract":"Cardiovascular diseases (CVDs), a leading cause of global mortality, are intricately linked to arterial stiffness, a key factor in cardiovascular health. Non-invasive assessment of arterial stiffness, particularly through Carotid-to-femoral Pulse Wave Velocity (cf-PWV) - the gold standard in this field - is vital for early detection and management of CVDs. This study introduces a novel approach, utilizing photoplethysmogram (PPG) signal spectrograms as inputs for deep learning models to estimate cf-PWV, a significant advancement over traditional methods. Employing a modified ResNet-18 architecture, we analyze PPG signals from digital, radial, and brachial arteries of a simulated dataset of 4374 healthy adults. Our methodology's innovation lies in its direct use of finely tuned spectrogram images, bypassing the complex feature extraction processes. This approach achieved R2 (correlation coefficient) values of up to 0.9902 for the digital artery, 0.9898 for the radial artery, and 0.9825 for the brachial artery, coupled with significantly lower Mean Absolute Percentage Errors (MAPE) of approximately 1.61% for the digital, 1.87% for the radial, and 2.08% for the brachial artery. These findings highlight the efficacy of PPG spectrograms, especially from the digital artery, in providing an accurate, user-friendly, and non-invasive method for cf-PWV estimation, thereby enhancing the capabilities of non-invasive cardiovascular diagnostics.","PeriodicalId":72237,"journal":{"name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","volume":"2024 ","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143559255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0