IEEE Transactions on Information Technology in Biomedicine最新文献_第7页

Night-time EKG and HRV monitoring with bed sheet integrated textile electrodes. 夜间心电图和HRV监测与床单集成纺织电极。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-09-01 Epub Date: 2012-07-17 DOI: 10.1109/TITB.2012.2208982

Mikko Peltokangas, Jarmo Verho, Antti Vehkaoja

{"title":"Night-time EKG and HRV monitoring with bed sheet integrated textile electrodes.","authors":"Mikko Peltokangas, Jarmo Verho, Antti Vehkaoja","doi":"10.1109/TITB.2012.2208982","DOIUrl":"https://doi.org/10.1109/TITB.2012.2208982","url":null,"abstract":"A system for unobtrusive night-time electrocardiogram (EKG) and heart rate variability (HRV) monitoring as well as data analysis methods are presented, comparing bed sheet HR and HRV values with corresponding parameters obtained by a reference measurement. Our system uses eight embroidered textile electrodes attached laterally to a bed sheet for measuring bipolar contact EKG from multiple channels. The electrodes are arranged in a line so that at least two adjacent electrodes make sufficient skin contact. The focus of the signal processing development has been on selecting the best measurement channel for further analysis and minimizing the amount of incorrectly detected R-peaks. The test measurements were performed with four healthy men without previously known cardiac disorders and one who frequently had premature ventricular contractions (ectopic beats). For healthy test subjects, an average of 94.9% heartbeat detection coverage was achieved with the system during 29 measurement nights (in total 213.8 h of data). In most cases, the quality of the signal obtained from bed sheet electrodes is good enough for the computer-assisted cardiac arrhythmia detection. Applications for EKG derived RR-interval data include the calculation of HRV parameters that can be utilized in sleep quality analysis and other wellness-related topics as well as sleep apnoea detection.","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 5","pages":"935-42"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2208982","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30788049","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: 43

A joint encryption/watermarking system for verifying the reliability of medical images. 用于验证医学图像可靠性的联合加密/水印系统。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-09-01 Epub Date: 2012-07-10 DOI: 10.1109/TITB.2012.2207730

Dalel Bouslimi, Gouenou Coatrieux, Michel Cozic, Christian Roux

{"title":"A joint encryption/watermarking system for verifying the reliability of medical images.","authors":"Dalel Bouslimi, Gouenou Coatrieux, Michel Cozic, Christian Roux","doi":"10.1109/TITB.2012.2207730","DOIUrl":"https://doi.org/10.1109/TITB.2012.2207730","url":null,"abstract":"In this paper, we propose a joint encryption/water-marking system for the purpose of protecting medical images. This system is based on an approach which combines a substitutive watermarking algorithm, the quantization index modulation, with an encryption algorithm: a stream cipher algorithm (e.g., the RC4) or a block cipher algorithm (e.g., the AES in cipher block chaining (CBC) mode of operation). Our objective is to give access to the outcomes of the image integrity and of its origin even though the image is stored encrypted. If watermarking and encryption are conducted jointly at the protection stage, watermark extraction and decryption can be applied independently. The security analysis of our scheme and experimental results achieved on 8-bit depth ultrasound images as well as on 16-bit encoded positron emission tomography images demonstrate the capability of our system to securely make available security attributes in both spatial and encrypted domains while minimizing image distortion. Furthermore, by making use of the AES block cipher in CBC mode, the proposed system is compliant with or transparent to the DICOM standard.","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 5","pages":"891-9"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2207730","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30766335","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: 158

A methodology for validating artifact removal techniques for physiological signals. 一种验证生理信号伪影去除技术的方法。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-09-01 Epub Date: 2012-07-10 DOI: 10.1109/TITB.2012.2207400

Kevin T Sweeney, Hasan Ayaz, Tomás E Ward, Meltem Izzetoglu, Seán F McLoone, Banu Onaral

{"title":"A methodology for validating artifact removal techniques for physiological signals.","authors":"Kevin T Sweeney, Hasan Ayaz, Tomás E Ward, Meltem Izzetoglu, Seán F McLoone, Banu Onaral","doi":"10.1109/TITB.2012.2207400","DOIUrl":"https://doi.org/10.1109/TITB.2012.2207400","url":null,"abstract":"Artifact removal from physiological signals is an essential component of the biosignal processing pipeline. The need for powerful and robust methods for this process has become particularly acute as healthcare technology deployment undergoes transition from the current hospital-centric setting toward a wearable and ubiquitous monitoring environment. Currently, determining the relative efficacy and performance of the multiple artifact removal techniques available on real world data can be problematic, due to incomplete information on the uncorrupted desired signal. The majority of techniques are presently evaluated using simulated data, and therefore, the quality of the conclusions is contingent on the fidelity of the model used. Consequently, in the biomedical signal processing community, there is considerable focus on the generation and validation of appropriate signal models for use in artifact suppression. Most approaches rely on mathematical models which capture suitable approximations to the signal dynamics or underlying physiology and, therefore, introduce some uncertainty to subsequent predictions of algorithm performance. This paper describes a more empirical approach to the modeling of the desired signal that we demonstrate for functional brain monitoring tasks which allows for the procurement of a \"ground truth\" signal which is highly correlated to a true desired signal that has been contaminated with artifacts. The availability of this \"ground truth,\" together with the corrupted signal, can then aid in determining the efficacy of selected artifact removal techniques. A number of commonly implemented artifact removal techniques were evaluated using the described methodology to validate the proposed novel test platform.","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 5","pages":"918-26"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2207400","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30766332","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: 110

Anonymous indexing of health conditions for a similarity measure. 为相似度度量对健康状况进行匿名索引。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-07-01 Epub Date: 2012-04-16 DOI: 10.1109/TITB.2012.2194717

Insu Song, Nigel V Marsh

{"title":"Anonymous indexing of health conditions for a similarity measure.","authors":"Insu Song, Nigel V Marsh","doi":"10.1109/TITB.2012.2194717","DOIUrl":"https://doi.org/10.1109/TITB.2012.2194717","url":null,"abstract":"A health social network is an online information service which facilitates information sharing between closely related members of a community with the same or a similar health condition. Over the years, many automated recommender systems have been developed for social networking in order to help users find their communities of interest. For health social networking, the ideal source of information for measuring similarities of patients is the medical information of the patients. However, it is not desirable that such sensitive and private information be shared over the Internet. This is also true for many other security sensitive domains. A new information-sharing scheme is developed where each patient is represented as a small number of (possibly disjoint) d-words (discriminant words) and the d-words are used to measure similarities between patients without revealing sensitive personal information. The d-words are simple words like \"food,'' and thus do not contain identifiable personal information. This makes our method an effective one-way hashing of patient assessments for a similarity measure. The d-words can be easily shared on the Internet to find peers who might have similar health conditions.","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":" ","pages":"737-44"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2194717","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40181288","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: 31

Automated diagnosis of diseases based on classification: dynamic determination of the number of trees in random forests algorithm. 基于分类的疾病自动诊断:随机森林中动态确定树数的算法。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-07-01 Epub Date: 2011-11-14 DOI: 10.1109/TITB.2011.2175938

Evanthia E Tripoliti, Dimitrios I Fotiadis, George Manis

{"title":"Automated diagnosis of diseases based on classification: dynamic determination of the number of trees in random forests algorithm.","authors":"Evanthia E Tripoliti, Dimitrios I Fotiadis, George Manis","doi":"10.1109/TITB.2011.2175938","DOIUrl":"https://doi.org/10.1109/TITB.2011.2175938","url":null,"abstract":"The accurate diagnosis of diseases with high prevalence rate, such as Alzheimer, Parkinson, diabetes, breast cancer, and heart diseases, is one of the most important biomedical problems whose administration is imperative. In this paper, we present a new method for the automated diagnosis of diseases based on the improvement of random forests classification algorithm. More specifically, the dynamic determination of the optimum number of base classifiers composing the random forests is addressed. The proposed method is different from most of the methods reported in the literature, which follow an overproduce-and-choose strategy, where the members of the ensemble are selected from a pool of classifiers, which is known a priori. In our case, the number of classifiers is determined during the growing procedure of the forest. Additionally, the proposed method produces an ensemble not only accurate, but also diverse, ensuring the two important properties that should characterize an ensemble classifier. The method is based on an online fitting procedure and it is evaluated using eight biomedical datasets and five versions of the random forests algorithm (40 cases). The method decided correctly the number of trees in 90% of the test cases.","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 4","pages":"615-22"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2011.2175938","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30271935","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: 46

Quantitative and comparative assessment of learning in a tongue-operated computer input device--part II: navigation tasks. 在舌头操作的计算机输入设备中学习的定量和比较评估。第二部分:导航任务。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-07-01 Epub Date: 2012-06-06 DOI: 10.1109/TITB.2012.2191793

Behnaz Yousefi, Xueliang Huo, Jeonghee Kim, Emir Veledar, Maysam Ghovanloo

{"title":"Quantitative and comparative assessment of learning in a tongue-operated computer input device--part II: navigation tasks.","authors":"Behnaz Yousefi, Xueliang Huo, Jeonghee Kim, Emir Veledar, Maysam Ghovanloo","doi":"10.1109/TITB.2012.2191793","DOIUrl":"10.1109/TITB.2012.2191793","url":null,"abstract":"Tongue drive system (TDS) is a novel tongue-operated assistive technology (AT) for the mobility impaired, to empower them to access computers and drive powered wheelchairs (PWC) using their free voluntary tongue motion. We have evaluated the TDS performance in five sessions over 5-8 weeks to study the learning process in different tasks of computer access and PWC navigation on nine able-bodied subjects who already had tongue piercing and used our magnetic tongue studs throughout the trial. Computer access tasks included on-screen maze navigation and issuing random commands to measure the TDS information transfer rate. PWC navigation included driving through a ~50-m obstacle course using three control strategies. Some of the qualitative aspects of using the TDS were also evaluated based on the two Likert scale questionnaires, one of which was short (eight questions) and asked at the end of each session and the other one (46 questions) at the end of the trial. Included in this study was also a task to measure the tongue fatigue as a result of using the TDS continuously for a few hours. All performance measures showed significant improvement from the first to the second session as well as further gradual improvements throughout the rest of the sessions, suggesting a rapid learning process.","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 4","pages":"633-43"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2191793","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30686923","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}

引用次数: 34

Optimizing medical data quality based on multiagent web service framework. 基于多代理web服务框架的医疗数据质量优化。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-07-01 Epub Date: 2012-05-16 DOI: 10.1109/TITB.2012.2195498

Ching-Seh Wu, Ibrahim Khoury, Hemant Shah

{"title":"Optimizing medical data quality based on multiagent web service framework.","authors":"Ching-Seh Wu, Ibrahim Khoury, Hemant Shah","doi":"10.1109/TITB.2012.2195498","DOIUrl":"https://doi.org/10.1109/TITB.2012.2195498","url":null,"abstract":"One of the most important issues in e-healthcare information systems is to optimize the medical data quality extracted from distributed and heterogeneous environments, which can extremely improve diagnostic and treatment decision making. This paper proposes a multiagent web service framework based on service-oriented architecture for the optimization of medical data quality in the e-healthcare information system. Based on the design of the multiagent web service framework, an evolutionary algorithm (EA) for the dynamic optimization of the medical data quality is proposed. The framework consists of two main components; first, an EA will be used to dynamically optimize the composition of medical processes into optimal task sequence according to specific quality attributes. Second, a multiagent framework will be proposed to discover, monitor, and report any inconstancy between the optimized task sequence and the actual medical records. To demonstrate the proposed framework, experimental results for a breast cancer case study are provided. Furthermore, to show the unique performance of our algorithm, a comparison with other works in the literature review will be presented.","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 4","pages":"745-57"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2195498","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30633706","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: 26

Trigger learning and ECG parameter customization for remote cardiac clinical care information system. 远程心脏临床护理信息系统的触发学习和心电参数定制。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-07-01 Epub Date: 2012-02-23 DOI: 10.1109/TITB.2012.2188812

Mohamed Ezzeldin A Bashir, Dong Gyu Lee, Meijing Li, Jang-Whan Bae, Ho Sun Shon, Myung Chan Cho, Keun Ho Ryu

{"title":"Trigger learning and ECG parameter customization for remote cardiac clinical care information system.","authors":"Mohamed Ezzeldin A Bashir, Dong Gyu Lee, Meijing Li, Jang-Whan Bae, Ho Sun Shon, Myung Chan Cho, Keun Ho Ryu","doi":"10.1109/TITB.2012.2188812","DOIUrl":"https://doi.org/10.1109/TITB.2012.2188812","url":null,"abstract":"Coronary heart disease is being identified as the largest single cause of death along the world. The aim of a cardiac clinical information system is to achieve the best possible diagnosis of cardiac arrhythmias by electronic data processing. Cardiac information system that is designed to offer remote monitoring of patient who needed continues follow up is demanding. However, intra- and interpatient electrocardiogram (ECG) morphological descriptors are varying through the time as well as the computational limits pose significant challenges for practical implementations. The former requires that the classification model be adjusted continuously, and the latter requires a reduction in the number and types of ECG features, and thus, the computational burden, necessary to classify different arrhythmias. We propose the use of adaptive learning to automatically train the classifier on up-to-date ECG data, and employ adaptive feature selection to define unique feature subsets pertinent to different types of arrhythmia. Experimental results show that this hybrid technique outperforms conventional approaches and is, therefore, a promising new intelligent diagnostic tool.","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 4","pages":"561-71"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2188812","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30494911","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: 14

An adaptive window-setting scheme for segmentation of bladder tumor surface via MR cystography. 一种基于MR膀胱造影的膀胱肿瘤表面分割自适应窗口设置方案。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-07-01 Epub Date: 2012-05-22 DOI: 10.1109/TITB.2012.2200496

Chaijie Duan, Kehong Yuan, Fanghua Liu, Ping Xiao, Guoqing Lv, Zhengrong Liang

{"title":"An adaptive window-setting scheme for segmentation of bladder tumor surface via MR cystography.","authors":"Chaijie Duan, Kehong Yuan, Fanghua Liu, Ping Xiao, Guoqing Lv, Zhengrong Liang","doi":"10.1109/TITB.2012.2200496","DOIUrl":"https://doi.org/10.1109/TITB.2012.2200496","url":null,"abstract":"This paper proposes an adaptive window-setting scheme for noninvasive detection and segmentation of bladder tumor surface in T(1)-weighted magnetic resonance (MR) images. The inner border of the bladder wall is first covered by a group of ball-shaped detecting windows with different radii. By extracting the candidate tumor windows and excluding the false positive (FP) candidates, the entire bladder tumor surface is detected and segmented by the remaining windows. Different from previous bladder tumor detection methods that are mostly focusing on the existence of a tumor, this paper emphasizes segmenting the entire tumor surface in addition to detecting the presence of the tumor. The presented scheme was validated by ten clinical T(1)-weighted MR image datasets (five volunteers and five patients). The bladder tumor surfaces and the normal bladder wall inner borders in the ten datasets were covered by 223 and 10,491 windows, respectively. Such a large number of the detecting windows makes the validation statistically meaningful. In the FP reduction step, the best feature combination was obtained by using receiver operating characteristics or ROC analysis. The validation results demonstrated the potential of this presented scheme in segmenting the entire tumor surface with high sensitivity and low FP rate. This study inherits our previous results of automatic segmentation of the bladder wall and will be an important element in our MR-based virtual cystoscopy or MR cystography system.","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 4","pages":"720-9"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2200496","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30653141","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}

引用次数: 24

An integrated healthcare information system for end-to-end standardized exchange and homogeneous management of digital ECG formats. 一个集成的医疗信息系统，用于端到端的标准化交换和数字心电格式的同质管理。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-07-01 Epub Date: 2012-03-19 DOI: 10.1109/TITB.2012.2191296

Jesús Daniel Trigo, Ignacio Martínez, Alvaro Alesanco, Alexander Kollmann, Javier Escayola, Dieter Hayn, Günter Schreier, José García

{"title":"An integrated healthcare information system for end-to-end standardized exchange and homogeneous management of digital ECG formats.","authors":"Jesús Daniel Trigo, Ignacio Martínez, Alvaro Alesanco, Alexander Kollmann, Javier Escayola, Dieter Hayn, Günter Schreier, José García","doi":"10.1109/TITB.2012.2191296","DOIUrl":"https://doi.org/10.1109/TITB.2012.2191296","url":null,"abstract":"This paper investigates the application of the enterprise information system (EIS) paradigm to standardized cardiovascular condition monitoring. There are many specifications in cardiology, particularly in the ECG standardization arena. The existence of ECG formats, however, does not guarantee the implementation of homogeneous, standardized solutions for ECG management. In fact, hospital management services need to cope with various ECG formats and, moreover, several different visualization applications. This heterogeneity hampers the normalization of integrated, standardized healthcare information systems, hence the need for finding an appropriate combination of ECG formats and a suitable EIS-based software architecture that enables standardized exchange and homogeneous management of ECG formats. Determining such a combination is one objective of this paper. The second aim is to design and develop the integrated healthcare information system that satisfies the requirements posed by the previous determination. The ECG formats selected include ISO/IEEE11073, Standard Communications Protocol for Computer-Assisted Electrocardiography, and an ECG ontology. The EIS-enabling techniques and technologies selected include web services, simple object access protocol, extensible markup language, or business process execution language. Such a selection ensures the standardized exchange of ECGs within, or across, healthcare information systems while providing modularity and accessibility.","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 4","pages":"518-29"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2191296","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30532586","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: 24