Irbm最新文献

{"title":"Evaluation of a Wireless Home Sleep Monitoring System Compared to Polysomnography","authors":"Q. Pan,&nbsp;D. Brulin,&nbsp;E. Campo","doi":"10.1016/j.irbm.2022.09.002","DOIUrl":"https://doi.org/10.1016/j.irbm.2022.09.002","url":null,"abstract":"<div><h3>Objective</h3><p>Sleep is essential for human health<span>. Bad sleep and sleep disorders have been increasingly prevalent and are gradually becoming a social problem that cannot be ignored. The current gold standard in sleep monitoring is polysomnography (PSG) allowing nearly complete approach. Unfortunately, this wealth of information is obtained at the cost of invasive system, only usable in hospital environment under the control of sleep experts. Therefore, the development of a wireless body network for long-term home sleep monitoring is a good way to achieve this in a less-intrusive, portable and autonomous way. In this paper, an overall architecture from the sensors to the user's display is presented with a focus on the main functions and hardware.</span></p></div><div><h3>Method</h3><p><span>The hardware architecture is composed of simple miniaturized wearable devices. Then, we introduce the chosen indicators for sleep monitoring and the algorithms developed for sleep stages classification. Finally we show the evaluation of our approach compared to the PSG. We illustrate the sleep stage classification during one night in the sleep unit of Toulouse University Hospital and highlight correlation between body temperature on extremities and </span>Periodic Limb Movement during Sleep.</p></div><div><h3>Results</h3><p><span>Based on the confusion matrix<span> analysis, the results show that the T1 method appears to be effective for the detection of awake and deep sleep in particular. For PLMS detection, we define the detection rules based on the foot movement data. The results show that the total number of PLMS and the number of PLMS distributed in each sleep stage detected by our foot module are both very close to the PSG. Furthermore, we have found correlations between body temperature and </span></span>hypnogram and between body temperature on extremities and PLMS.</p></div><div><h3>Conclusion</h3><p>A wearable sensor system could be an alternative to PSG for long-term monitoring. Validation of the two proposed threshold-based algorithmic methods for sleep stage classification compared to the PSG gold standard shows good agreement, while the k-means based approach shows poor agreement with PSG. Furthermore, this method could be a good candidate for predicting periodic leg movements in sleep.</p></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49701286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MonEco: a Novel Health Monitoring Ecosystem to Predict Respiratory and Cardiovascular Disorders","authors":"Remo Lazazzera,&nbsp;Guy Carrault","doi":"10.1016/j.irbm.2022.09.003","DOIUrl":"https://doi.org/10.1016/j.irbm.2022.09.003","url":null,"abstract":"<div><p>Objectives: the present manuscript introduces a health monitoring ecosystem called MonEco, to monitor and predict respiratory and cardiovascular disorders.</p><p>Material and methods: the system comprehends a tablet application called eCardio and two smart devices named CareUp and UpNEA. eCardio is an application available for iOS devices that predicts cardiovascular risk based on user' data and habits. CareUp is a smartwatch for blood pressure estimation and fitness tracking. UpNEA is a smart glove for sleep monitoring, detecting sleep disruptive breathing events.</p><p>Results: MonEco smart devices embed novel algorithms and top-notch home health care monitoring technologies. The user can access data collected via a web application hosted by a remote server (AeneA), allowing clinicians to follow up on a patient's health.</p><p>Conclusion: MonEco wants to inspire and disclose the architecture of a connected health monitoring ecosystem.</p></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49700317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Therapeutic Ultrasound Applications in Cardiovascular Diseases: A Review","authors":"G. Ditac ,&nbsp;F. Bessière ,&nbsp;C. Lafon","doi":"10.1016/j.irbm.2022.07.001","DOIUrl":"https://doi.org/10.1016/j.irbm.2022.07.001","url":null,"abstract":"<div><p>This review describes the use of ultrasound as a treatment modality for cardiovascular diseases. Ultrasound is widely used for diagnosis in cardiovascular pathology. However, it is not much used for therapeutic purposes. Therapeutic ultrasound includes thermal and mechanical effects. Therapeutic applications already available or still under research in venous, arterial, and cardiac diseases will be described.</p></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49727818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Grouping Intrinsic Mode Functions and Residue for Pathological Classifications via Electroglottograms","authors":"G. Liao,&nbsp;B.W.-K. Ling,&nbsp;K.-G. Pang","doi":"10.1016/j.irbm.2022.11.001","DOIUrl":"https://doi.org/10.1016/j.irbm.2022.11.001","url":null,"abstract":"<div><h3>Objectives</h3><p>The electroglottogram<span> (EGG) is a signal used for measuring the change of the relative contact area in the vocal cord during the throat production. In the recent years, the low cost and the non-invasive applications have been derived. Hence, the EGG has been applied in various science, engineering and medical fields such as in the basic voice science including the phonetics, the singing and the hearing as well as in the speech and the language therapy and the related clinical works including the voice production physiology, the swallowing and the psychology. However, the pathological classifications using the EGGs usually yield the poor performances. This is because the EGGs are required to decompose into the various components for extracting the features for performing the classifications. Nevertheless, the total numbers of the components decomposed by some time frequency representation such as the empirical mode decomposition (EMD) for different EGGs are different. Hence, the dimension of the feature vectors extracted from different EGGs is different. This introduces to the difficulty for building a machine learning model for performing the classification. This paper is to address this issue.</span></p></div><div><h3>Material and methods</h3><p>This paper proposes a method for grouping the intrinsic mode functions<span><span> (IMFs) and the residue obtained by applying the EMD to the EGGs for classifying between the healthy subjects and the pathological subjects. More precisely, this paper proposes a clustering based method to group the IMFs and the residue so that the total numbers of the grouped IMFs of different EGGs are the same. First, the IMFs and the residue of the EGGs are categorized into a desired number of groups based on their correlation coefficients. Second, the IMFs or the residue in each group are summed together to obtain the grouped IMF. Third, the mean frequency and the first formant of each grouped IMF are computed. Finally, a random forest is employed for performing the classification. To our best knowledge, this joint EMD and clustering based method is firstly proposed to preform the pathological voice detection. The </span>computer numerical simulations are conducted using the online available Saarbrücken voice database.</span></p></div><div><h3>Results</h3><p>Here, five cross validations have been performed. The mean accuracy, the mean specificity and the mean sensitivity among these five validations are 86.98, 79.92 and 91.57, respectively. The standard deviation of the accuracy, the specificity and the sensitivity among these five validations are ±2.00%, ±3.71% and ±2.13%, respectively. The simulation results show that our proposed method outperforms the common EGG or speech processing based methods.</p></div><div><h3>Conclusion</h3><p><span>This paper proposes a clustering based method for grouping the IMFs and the residue for performing the pathological classifications via the EGGs. Th","PeriodicalId":14605,"journal":{"name":"Irbm","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49700166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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 Wearable Framework for the Assessment of a Mechanical-Based Indicator of Falling Risk in the Field","authors":"H. Pillet ,&nbsp;B. Watier","doi":"10.1016/j.irbm.2022.11.003","DOIUrl":"https://doi.org/10.1016/j.irbm.2022.11.003","url":null,"abstract":"<div><h3>Objectives</h3><p>The characterization of the instability of gait is a current challenge of biomechanics. Indeed, risks of falling naturally result from the difficulty to control perturbations of the locomotion pattern. Hence, the assessment of a synthetic parameter able to quantify the instability in real time will be useful for the prevention of falls occurring in this context. Thus, the objective of the present study, in two steps, was to propose and evaluate a relevant parameter to quantify the risk of fallings.</p></div><div><h3>Material and Methods</h3><p>Experimental analysis of the gait of 11 able-bodied subjects from a motion capture system in laboratory condition was performed. The distance of the Body Center of Mass (BCOM) to the Minimal Moment Axis (MMA) was computed as a proxy of whole-body angular momentum<span> variations. In a second step, we quantified the kinematics during gait with wearable Inertial Measurement Units (IMU) fixed on two individuals (one able bodied person and one person with transfemoral amputation). We compared the IMU-based BCOM kinematics with a motion capture reference system to verify the accuracy of our measures in the field.</span></p></div><div><h3>Results</h3><p>Normative thresholds of the distance of the Body Center of Mass (BCOM) to the Minimal Moment Axis (MMA) during able-bodied level walking were assessed. The average error between the BCoM displacement computed from the IMU and from the reference vicon data of 4 mm, 3 mm and 53 mm on the mediolateral, anteroposterior and vertical axes respectively.</p></div><div><h3>Conclusion</h3><p>All these results make it possible to consider the determination of the risks of falls in the field at mid-term. the research on an optimal configuration that maintain the performance while simplifying the device will be essential to make it acceptable by the individuals.</p></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49701290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"High Intensity Focused Ultrasound (HIFU) in Digestive Diseases: An Overview of Clinical Applications for Liver and Pancreatic Tumors","authors":"A. Dupré ,&nbsp;D. Melodelima ,&nbsp;C. Cilleros ,&nbsp;L. De Crignis ,&nbsp;P. Peyrat ,&nbsp;J. Vincenot ,&nbsp;M. Rivoire","doi":"10.1016/j.irbm.2022.09.005","DOIUrl":"https://doi.org/10.1016/j.irbm.2022.09.005","url":null,"abstract":"<div><p><span>High Intensity Focused Ultrasound (HIFU) is an emerging technology of focal destruction in daily clinical practice. Alternative techniques of focal destruction, such as </span>radiofrequency ablation<span><span><span> (RFA) or more recently irreversible electroporation, have been used in </span>digestive diseases<span> for many years, mainly in hepatobiliary and pancreatic systems. Likewise, HIFU is currently used in the treatment of tumors located in the liver and in the pancreas. HIFU is quite exclusively applied for the treatment of </span></span>malignancies<span><span>, with an extracorporeal<span><span> approach. Treatment of the liver is difficult because presence of the ribcage may stop propagation of ultrasound waves and respiratory motion may cause targeting problems. Pancreatic cancer<span> is also challenging to treat with HIFU because the pancreas is a deep-seated organ surrounded by major vessels. The interposition of bowel gas may significantly obstruct the acoustic window, potentially leading to incomplete tumor ablation and injury of the interposed bowel and/or other intra-abdominal organs. The two main applications of HIFU are the treatment of hepatocellular carcinoma (HCC) and pancreatic cancer. In the management of HCC, HIFU with </span></span>transarterial chemoembolization<span> (TACE) seems to provide a survival advantage compared to TACE alone. HIFU showed similar results when compared to RFA for small tumors. HIFU could be interesting for tumors located in difficult location. For pancreatic cancer, HIFU is mostly used in the palliative setting to treat cancer-related pain. Some publications showed encouraging results about downsizing when HIFU is used in combination with chemotherapy and/or radiotherapy, which could be interesting in locally advanced tumors. This review focused on the clinical applications of HIFU in liver and </span></span></span>pancreatic tumors.</span></span></p></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49727819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Geodata Production System","authors":"A. Patarot ,&nbsp;N. Samama","doi":"10.1016/j.irbm.2022.100744","DOIUrl":"https://doi.org/10.1016/j.irbm.2022.100744","url":null,"abstract":"<div><h3>Objectives</h3><p>The well-being of people depends in part on the sense of freedom, and one aspect is certainly the possibility for people to remain at home. However, there is a need for “following” the movements and, if possible, the activity of the person. The problem is that very few home systems make it possible to have these data at a reasonable price, and at an acceptable reliability level. We offer a simple to use, reliable and energy self-sufficient person location system. People are the first “targets”, but objects could be involved.</p></div><div><h3>Material and methods</h3><p>The system is described and their performance analyzed in real conditions of use. The positioning algorithms are explained and the practical implementations described.</p></div><div><h3>Results</h3><p>First results on the activity of a person at home are presented as well as some tracks on the type of data processing that could be considered.</p><p>The simplicity of deployment is shown and the usefulness of the available data is discussed in the context of home care of an elderly person as well as the monitoring of hospital equipment.</p></div><div><h3>Conclusion</h3><p>Our approach provides simplicity of implementation and very high reliability in real time, without aiming for high accuracy in all cases. Conceptually taking into account the high variability of indoor radio measurements makes it possible to significantly increase the reliability of the geo-data produced. Moreover, we will mention two real deployments and the associated performances obtained, carried out in order to follow the behavior of an old autonomous man living alone at home, and in another hand to follow the stretchers of the emergency department of a French hospital.</p></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49700320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Review of Frailty Analysis in Older Adults: From Clinical Tools Towards Fully Automated Preventive Systems","authors":"M. Abbas,&nbsp;R. Le Bouquin Jeannès","doi":"10.1016/j.irbm.2022.11.004","DOIUrl":"https://doi.org/10.1016/j.irbm.2022.11.004","url":null,"abstract":"<div><h3>Objectives</h3><p>Frailty<span><span> is a geriatric syndrome characterized by </span>sarcopenia and physiological impairment. Although the majority of older adults wish to age at home, being frail threatens this choice since it increases the risk of falls and loss of functional independence. Hence, frailty screening and early detection are needed to stop or at least slow down the physical weakening process. In this paper, we present a review in which we discuss the proposed methods from the literature that targets frailty detection and analysis, starting from traditional clinical tools then introducing data-driven studies before highlighting the importance of fully automated systems.</span></p></div><div><h3>Material and methods</h3><p>We conducted a review study by searching several databases such as Google Scholar, IEEE Xplore, MDPI, and ScienceDirect to name a few. This work presents clinical tools and classical performance tests to assess the health status and the physical function, as well as statistical and observational studies to analyze the frailty syndrome<span>. Moreover, we discuss briefly the work of our research team in this context, represented by the development of a telemonitoring system which aims at the transition from a curative to a preventive model.</span></p></div><div><h3>Results</h3><p>Firstly, this review points out the absence of a gold standard to detect frailty in older individuals. Secondly, it discusses the limitations of self-reported measures/questionnaires and other traditional performance tests which are based on subjective data and done under supervised conditions. Thirdly, our study emphasizes the lack of robust approaches that target the early detection of frailty and the prediction of a future risk of physical worsening. We propose new research directions based, on the one hand, on automatic activity identification and tracking and, on the other hand, on the analysis of spontaneous speech of elderly.</p></div><div><h3>Conclusion</h3><p>This paper describes research findings and highlights the existing gaps in the context of frailty, and serves as a state of the art for researchers. Additionally, this work suggests future research directions regarding the early detection and prevention of frailty.</p></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49700168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of Carotid Plaques Composition Through a Compact CSRR-Based Microwave Sensor","authors":"R. Shahbaz ,&nbsp;F. Deshours ,&nbsp;G. Alquie ,&nbsp;H. Kokabi ,&nbsp;F. Koskas ,&nbsp;I. Brocheriou ,&nbsp;G. Le Naour ,&nbsp;C. Hannachi ,&nbsp;J.-M. Davaine","doi":"10.1016/j.irbm.2022.09.001","DOIUrl":"https://doi.org/10.1016/j.irbm.2022.09.001","url":null,"abstract":"<div><h3>Objectives</h3><p>This study aims to identify the dielectric constant of the carotid atherosclerotic plaques<span> and categorise them using a CSRR based microwave sensor.</span></p></div><div><h3>Material and methods</h3><p>A Complementary Split Ring Resonator (CSRR) at 2.3 GHz measured 33 samples of carotid plaques obtained after endarterectomy. HFSS software simulations were employed to substantiate the measurements. Histological analyses were performed simultaneously to classify the plaques.</p></div><div><h3>Results</h3><p>The constant dielectric of dangerous carotid plaques identified by histology was much higher than that of low-risk calcified carotid plaques. Microwave data were pertinent to the simulations.</p></div><div><h3>Conclusion</h3><p>The current study, performed on ex-vivo carotid plaques, illustrates the sensor's ability to differentiate plaques with diverse components. Calcified low-risk plaques displayed distinct values from dangerous soft plaques. Further statistical correlation of the 33 samples is required. After validation, an in-vivo prototype will be designed and tested.</p></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49700138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Catheter Tracking Using a Convolutional Neural Network for Decreasing Interventional Radiology X-Ray Exposure","authors":"J. Zegarra Flores,&nbsp;J.P. Radoux","doi":"10.1016/j.irbm.2022.09.004","DOIUrl":"https://doi.org/10.1016/j.irbm.2022.09.004","url":null,"abstract":"<div><h3>Introduction</h3><p><span>Although the many advantages of Interventional Radiology not only being a </span>minimally invasive surgery but also providing minimal risk of infection for the patient, this procedure could cause serious damage (radio dermatitis) to the patient and surgeons if exposed for long periods to the X-ray radiation. Some medical solutions have been found, but need the installation of extra equipment in the operating room.</p></div><div><h3>Objectives</h3><p>The aim of the Medic@ team is to reduce the doses of X-rays using sensors integrated into the catheter to reconstruct images without the need of continuous imaging. To do that, accurate and reliable information on the position of the catheter is required to correct the drift of the catheter's sensors. The use of artificial intelligence with a U-Net convolutional neural network is a possible solution for detecting the entire catheter (body and head) and for obtaining precise coordinates in X-ray images.</p></div><div><h3>Material and methods</h3><p>The use of artificial intelligence with a U-Net convolutional neural network is a possible solution for detecting the entire catheter (body and head) and for obtaining precise coordinates in X-ray images. We have created and used synthetic data to generate training datasets and videos that simulate real-world operations because we only have low quantity of data.</p></div><div><h3>Results</h3><p><span>The results using the metrics binary cross entropy and dice loss testing in the synthetic data are 0. 048 and 0.98 respectively. We have also tested to predict catheter shapes on some real images; in a general way, the results show good approximation in the detection of the head of the catheter (around 3.1 pixels) using Euclidean distance. Finally, the predictions are also robust in blurry </span>synthetic images using 5, 10 and 15 kernel sizes; in this case, the binary cross entropy in all the cases is less than 0.05 and the dice loss in all the cases is more than 0.98.</p></div><div><h3>Conclusions</h3><p>The methodology used to create synthetic images and videos seems to be correct. The predictions in the detection of the shape of catheters, after training with synthetic images calibrated with the same histogram of the real images, show very good results in the metrics: binary cross entropy and dice loss. The same for the case of blurry images. The tests in the few real images are encouraging because the error detection in the head of the catheter is small (&lt;3.1 pixels). More tests with real data are still necessary for validating this first approach.</p></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49701289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}