IEEE Transactions on Information Technology in Biomedicine最新文献_第9页

Cross-database evaluation of a multilead heartbeat classifier. 多导联心跳分类器的跨数据库评估。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-07-01 Epub Date: 2012-04-18 DOI: 10.1109/TITB.2012.2193408

Mariano Llamedo, Antoun Khawaja, Juan Pablo Martínez

{"title":"Cross-database evaluation of a multilead heartbeat classifier.","authors":"Mariano Llamedo, Antoun Khawaja, Juan Pablo Martínez","doi":"10.1109/TITB.2012.2193408","DOIUrl":"https://doi.org/10.1109/TITB.2012.2193408","url":null,"abstract":"In this paper, we studied the improvement in heartbeat classification achieved by including information from multilead ECG recordings in a previously developed and validated classification model. This model includes features from the RR interval series and morphology descriptors for each lead calculated from the wavelet transform. The experiments were carried out in the INCART database, available in Physionet, and the generalization was corroborated in private and public databases. In all databases, the AAMI recommendations for class labeling and results presentation were followed. Different strategies to integrate the additional information available in the 12-leads were studied. The best performing strategy consisted in performing principal component analysis to the wavelet transform of the available ECG leads. The performance indices obtained for normal beats were sensitivity (S) 98%, positive predictive value (P(+)) 93%; for supraventricular beats, (S) 86%, (P(+)) 91%; and for ventricular beats (S) 90%, (P(+)) 90%. The generalization capability of the chosen strategy was confirmed by applying the classifier to other databases with different number of leads with comparable results. In conclusion, the performance of the reference two-lead classifier was improved by taking into account additional information from the 12-leads.","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":" ","pages":"658-64"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2193408","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40181287","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

Dyslexia diagnostics by 3-D shape analysis of the corpus callosum. 胼胝体三维形态分析诊断阅读障碍。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-07-01 Epub Date: 2012-02-10 DOI: 10.1109/TITB.2012.2187302

Ahmed Elnakib, Manuel F Casanova, Georgy Gimel'farb, Andrew E Switala, Ayman El-Baz

{"title":"Dyslexia diagnostics by 3-D shape analysis of the corpus callosum.","authors":"Ahmed Elnakib, Manuel F Casanova, Georgy Gimel'farb, Andrew E Switala, Ayman El-Baz","doi":"10.1109/TITB.2012.2187302","DOIUrl":"https://doi.org/10.1109/TITB.2012.2187302","url":null,"abstract":"Dyslexia severely impairs learning abilities; therefore, improved diagnostic methods are needed. Neuropathological studies have revealed an abnormal anatomy of the corpus callosum (CC) in dyslexic brains. We propose a new approach for the quantitative analysis of 3-D magnetic resonance images (MRI) of the brain that ensures a more accurate quantification of anatomical differences between the CC of dyslexic and control subjects. The proposed approach consists of three main processing steps: 1) segmenting the CC from a given 3-D MRI using the learned CC shape and visual appearance; 2) extracting the centerline of the CC; and 3) cylindrical mapping of the CC surface for its comparative analysis. Validation on 3-D simulated phantoms demonstrates the ability of the proposed approach to accurately detect the shape variability between two 3-D surfaces. Experimental results revealed significant differences (at the 95% confidence level) between 14 normal and 16 dyslexic subjects in all four anatomical divisions, i.e., splenium, rostrum, genu, and body of their CCs. Moreover, the initial classification results based on the centerline length and CC thickness suggest that the proposed shape analysis is a promising supplement to the current techniques for diagnosing dyslexia.","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 4","pages":"700-8"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2187302","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30459275","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: 29

An incremental learning method based on probabilistic neural networks and adjustable fuzzy clustering for human activity recognition by using wearable sensors. 基于概率神经网络和可调模糊聚类的增量学习方法在可穿戴传感器人体活动识别中的应用。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-07-01 Epub Date: 2012-05-16 DOI: 10.1109/TITB.2012.2196440

Zhelong Wang, Ming Jiang, Yaohua Hu, Hongyi Li

{"title":"An incremental learning method based on probabilistic neural networks and adjustable fuzzy clustering for human activity recognition by using wearable sensors.","authors":"Zhelong Wang, Ming Jiang, Yaohua Hu, Hongyi Li","doi":"10.1109/TITB.2012.2196440","DOIUrl":"https://doi.org/10.1109/TITB.2012.2196440","url":null,"abstract":"Human activity recognition by using wearable sensors has gained tremendous interest in recent years among a range of health-related areas. To automatically recognize various human activities from wearable sensor data, many classification methods have been tried in prior studies, but most of them lack the incremental learning abilities. In this study, an incremental learning method is proposed for sensor-based human activity recognition. The proposed method is designed based on probabilistic neural networks and an adjustable fuzzy clustering algorithm. The proposed method may achieve the following features. 1) It can easily learn additional information from new training data to improve the recognition accuracy. 2) It can freely add new activities to be detected, as well as remove existing activities. 3) The updating process from new training data does not require previously used training data. An experiment was performed to collect realistic wearable sensor data from a range of activities of daily life. The experimental results showed that the proposed method achieved a good tradeoff between incremental learning ability and the recognition accuracy. The experimental results from comparison with other classification methods demonstrated the effectiveness of the proposed method further.","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 4","pages":"691-9"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2196440","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30633707","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: 135

Combination of heterogeneous features for wrist pulse blood flow signal diagnosis via multiple kernel learning. 基于多核学习的腕部脉搏血流信号异质特征组合诊断。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-07-01 Epub Date: 2012-06-13 DOI: 10.1109/TITB.2012.2195188

Lei Liu, Wangmeng Zuo, David Zhang, Naimin Li, Hongzhi Zhang

{"title":"Combination of heterogeneous features for wrist pulse blood flow signal diagnosis via multiple kernel learning.","authors":"Lei Liu, Wangmeng Zuo, David Zhang, Naimin Li, Hongzhi Zhang","doi":"10.1109/TITB.2012.2195188","DOIUrl":"https://doi.org/10.1109/TITB.2012.2195188","url":null,"abstract":"Wrist pulse signal is of great importance in the analysis of the health status and pathologic changes of a person. A number of feature extraction methods have been proposed to extract linear and nonlinear, and time and frequency features of wrist pulse signal. These features are heterogeneous in nature and are likely to contain complementary information, which highlights the need for the integration of heterogeneous features for pulse classification and diagnosis. In this paper, we propose a novel effective method to classify the wrist pulse blood flow signals by using the multiple kernel learning (MKL) algorithm to combine multiple types of features. In the proposed method, seven types of features are first extracted from the wrist pulse blood flow signals using the state-of-the-art pulse feature extraction methods, and are then fed to an efficient MKL method, SimpleMKL, to combine heterogeneous features for more effective classification. Experimental results show that the proposed method is promising in integrating multiple types of pulse features to further enhance the classification performance.","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 4","pages":"598-606"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2195188","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30702997","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: 45

Understanding clinical work practices for cross-boundary decision support in e-health. 了解电子医疗中跨境决策支持的临床工作实践。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-07-01 Epub Date: 2012-02-13 DOI: 10.1109/TITB.2012.2187673

Hissam Tawfik, Obinna Anya, Atulya K Nagar

{"title":"Understanding clinical work practices for cross-boundary decision support in e-health.","authors":"Hissam Tawfik, Obinna Anya, Atulya K Nagar","doi":"10.1109/TITB.2012.2187673","DOIUrl":"https://doi.org/10.1109/TITB.2012.2187673","url":null,"abstract":"One of the major concerns of research in integrated healthcare information systems is to enable decision support among clinicians across boundaries of organizations and regional workgroups. A necessary precursor, however, is to facilitate the construction of appropriate awareness of local clinical practices, including a clinician's actual cognitive capabilities, peculiar workplace circumstances, and specific patient-centered needs based on real-world clinical contexts across work settings. In this paper, a user-centered study aimed to investigate clinical practices across three different geographical areas-the U.K., the UAE and Nigeria-is presented. The findings indicate that differences in clinical practices among clinicians are associated with differences in local work contexts across work settings, but are moderated by adherence to best practice guidelines and the need for patient-centered care. The study further reveals that an awareness especially of the ontological, stereotypical, and situated practices plays a crucial role in adapting knowledge for cross-boundary decision support. The paper then outlines a set of design guidelines for the development of enterprise information systems for e-health. Based on the guidelines, the paper proposes the conceptual design of CaDHealth, a practice-centered framework for making sense of clinical practices across work settings for effective cross-boundary e-health decision support.","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 4","pages":"530-41"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2187673","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30469408","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: 30

An SNMP-based solution to enable remote ISO/IEEE 11073 technical management. 基于snmp的解决方案，实现远程ISO/IEEE 11073技术管理。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-07-01 Epub Date: 2012-04-04 DOI: 10.1109/TITB.2012.2193409

Nelia Lasierra, Alvaro Alesanco, José García

{"title":"An SNMP-based solution to enable remote ISO/IEEE 11073 technical management.","authors":"Nelia Lasierra, Alvaro Alesanco, José García","doi":"10.1109/TITB.2012.2193409","DOIUrl":"https://doi.org/10.1109/TITB.2012.2193409","url":null,"abstract":"This paper presents the design and implementation of an architecture based on the integration of simple network management protocol version 3 (SNMPv3) and the standard ISO/IEEE 11073 (X73) to manage technical information in home-based telemonitoring scenarios. This architecture includes the development of an SNMPv3-proxyX73 agent which comprises a management information base (MIB) module adapted to X73. In the proposed scenario, medical devices (MDs) send information to a concentrator device [designated as compute engine (CE)] using the X73 standard. This information together with extra information collected in the CE is stored in the developed MIB. Finally, the information collected is available for remote access via SNMP connection. Moreover, alarms and events can be configured by an external manager in order to provide warnings of irregularities in the MDs' technical performance evaluation. This proposed SNMPv3 agent provides a solution to integrate and unify technical device management in home-based telemonitoring scenarios fully adapted to X73.","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 4","pages":"709-19"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2193409","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30564987","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: 15

Toward multiple catheters detection in fluoroscopic image guided interventions. 透视图像引导介入治疗中多导管检测的探讨。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-07-01 Epub Date: 2012-02-28 DOI: 10.1109/TITB.2012.2189407

Liron Yatziv, Mathieu Chartouni, Saurabh Datta, Guillermo Sapiro

{"title":"Toward multiple catheters detection in fluoroscopic image guided interventions.","authors":"Liron Yatziv, Mathieu Chartouni, Saurabh Datta, Guillermo Sapiro","doi":"10.1109/TITB.2012.2189407","DOIUrl":"https://doi.org/10.1109/TITB.2012.2189407","url":null,"abstract":"Catheters are routinely inserted via vessels to cavities of the heart during fluoroscopic image guided interventions for electrophysiology (EP) procedures such as ablation. During such interventions, the catheter undergoes nonrigid deformation due to physician interaction, patient's breathing, and cardiac motions. EP clinical applications can benefit from fast and accurate automatic catheter tracking in the fluoroscopic images. The typical low quality in fluoroscopic images and the presence of other medical instruments in the scene make the automatic detection and tracking of catheters in clinical environments very challenging. Toward the development of such an application, a robust and efficient method for detecting and tracking the catheter sheath is developed. The proposed approach exploits the clinical setup knowledge to constrain the search space while boosting both tracking speed and accuracy, and is based on a computationally efficient framework to trace the sheath and simultaneously detect one or multiple catheter tips. The algorithm is based on a modification of the fast marching weighted distance computation that efficiently calculates, on the fly, important geodesic properties in relevant regions of the image. This is followed by a cascade classifier for detecting the catheter tips. The proposed technique is validated on 1107 fluoroscopic images acquired on multiple patients across four different clinics, achieving multiple catheter tracking at a rate of 10 images/s with a very low false positive rate of 1.06.","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 4","pages":"770-81"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2189407","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30505012","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: 33

Matching 3-D prone and supine CT colonography scans using graphs. 匹配三维俯卧位和仰卧位CT结肠镜扫描图。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-07-01 Epub Date: 2012-04-27 DOI: 10.1109/TITB.2012.2194297

Shijun Wang, Nicholas Petrick, Robert L Van Uitert, Senthil Periaswamy, Zhuoshi Wei, Ronald M Summers

{"title":"Matching 3-D prone and supine CT colonography scans using graphs.","authors":"Shijun Wang, Nicholas Petrick, Robert L Van Uitert, Senthil Periaswamy, Zhuoshi Wei, Ronald M Summers","doi":"10.1109/TITB.2012.2194297","DOIUrl":"10.1109/TITB.2012.2194297","url":null,"abstract":"In this paper, we propose a new registration method for prone and supine computed tomographic colonography scans using graph matching. We formulate 3-D colon registration as a graph matching problem and propose a new graph matching algorithm based on mean field theory. In the proposed algorithm, we solve the matching problem in an iterative way. In each step, we use mean field theory to find the matched pair of nodes with highest probability. During iterative optimization, one-to-one matching constraints are added to the system in a step-by-step approach. Prominent matching pairs found in previous iterations are used to guide subsequent mean field calculations. The proposed method was found to have the best performance with smallest standard deviation compared with two other baseline algorithms called the normalized distance along the colon centerline (NDACC) ( p = 0.17) with manual colon centerline correction and spectral matching ( p < 1e-5). A major advantage of the proposed method is that it is fully automatic and does not require defining a colon centerline for registration. For the latter NDACC method, user interaction is almost always needed for identifying the colon centerlines.","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 4","pages":"676-82"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3498489/pdf/nihms409937.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30588951","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: 0

EMG and EPP-integrated human-machine interface between the paralyzed and rehabilitation exoskeleton. 瘫痪与康复外骨骼之间肌电图与epp集成的人机界面。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-07-01 Epub Date: 2012-01-09 DOI: 10.1109/TITB.2011.2178034

Yue H Yin, Yuan J Fan, Li D Xu

{"title":"EMG and EPP-integrated human-machine interface between the paralyzed and rehabilitation exoskeleton.","authors":"Yue H Yin, Yuan J Fan, Li D Xu","doi":"10.1109/TITB.2011.2178034","DOIUrl":"https://doi.org/10.1109/TITB.2011.2178034","url":null,"abstract":"Although a lower extremity exoskeleton shows great prospect in the rehabilitation of the lower limb, it has not yet been widely applied to the clinical rehabilitation of the paralyzed. This is partly caused by insufficient information interactions between the paralyzed and existing exoskeleton that cannot meet the requirements of harmonious control. In this research, a bidirectional human-machine interface including a neurofuzzy controller and an extended physiological proprioception (EPP) feedback system is developed by imitating the biological closed-loop control system of human body. The neurofuzzy controller is built to decode human motion in advance by the fusion of the fuzzy electromyographic signals reflecting human motion intention and the precise proprioception providing joint angular feedback information. It transmits control information from human to exoskeleton, while the EPP feedback system based on haptic stimuli transmits motion information of the exoskeleton back to the human. Joint angle and torque information are transmitted in the form of air pressure to the human body. The real-time bidirectional human-machine interface can help a patient with lower limb paralysis to control the exoskeleton with his/her healthy side and simultaneously perceive motion on the paralyzed side by EPP. The interface rebuilds a closed-loop motion control system for paralyzed patients and realizes harmonious control of the human-machine system.","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 4","pages":"542-9"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2011.2178034","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30391362","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: 195

Near-affine-invariant texture learning for lung tissue analysis using isotropic wavelet frames. 基于各向同性小波帧的肺组织分析的近仿射不变纹理学习。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-07-01 Epub Date: 2012-05-11 DOI: 10.1109/TITB.2012.2198829

Adrien Depeursinge, Dimitri Van de Ville, Alexandra Platon, Antoine Geissbuhler, Pierre-Alexandre Poletti, Henning Müller

引用次数: 88