IEEE Transactions on Information Technology in Biomedicine最新文献_第3页

Virtual caregiver: an ambient-aware elderly monitoring system. 虚拟看护者:一种环境感知老年人监测系统。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-11-01 Epub Date: 2012-06-06 DOI: 10.1109/TITB.2012.2203313

M Anwar Hossain, Dewan Tanvir Ahmed

{"title":"Virtual caregiver: an ambient-aware elderly monitoring system.","authors":"M Anwar Hossain, Dewan Tanvir Ahmed","doi":"10.1109/TITB.2012.2203313","DOIUrl":"https://doi.org/10.1109/TITB.2012.2203313","url":null,"abstract":"The growing number of elderly population at home and abroad necessitates improved approaches to elderly care provision. Elders, often with cognitive and physical impairment, need assistance in their activities of daily living (ADLs), which is usually provided by human caregivers. As the demand for caregivers assistance increases, the shortage of traditional care resources becomes obvious. In this paper, we present the Virtual Caregiver (ViCare) framework that supports a human caregiver to monitor continuously the elderly by being aware of their surroundings. The ViCare system attempts to understand the elderly persons activities and contexts based on the data captured by the sensors placed in their environment and dynamically decides what services to provide them or whether there is a need to interrupt human caregiver depending on the type of activities. It not only minimizes the cognitive load of the human caregiver but also provides a seamless assistance to the elderly toward their improved health and well-being in their living environment. We conducted the experiments in an instrumented home environment and obtained positive results in terms of the satisfaction of the elderly, interaction event handling, caregivers acceptance and their engagement. ","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 6","pages":"1024-31"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2203313","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30686924","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: 71

System identification and closed-loop control of end-tidal CO2 in mechanically ventilated patients. 机械通气患者潮末CO2的系统辨识及闭环控制。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-11-01 Epub Date: 2012-06-11 DOI: 10.1109/TITB.2012.2204067

Jin-Oh Hahn, Guy A Dumont, J Mark Anersmino

{"title":"System identification and closed-loop control of end-tidal CO2 in mechanically ventilated patients.","authors":"Jin-Oh Hahn, Guy A Dumont, J Mark Anersmino","doi":"10.1109/TITB.2012.2204067","DOIUrl":"https://doi.org/10.1109/TITB.2012.2204067","url":null,"abstract":"This paper presents a systematic approach to system identification and closed-loop control of end-tidal carbon dioxide partial pressure (PETCO2) in mechanically ventilated patients. An empirical model consisting of a linear dynamic system followed by an affine transform is proposed to derive a low-order and high-fidelity representation that can reproduce the positive and inversely proportional dynamic input-output relationship between PETCO2 and minute ventilation (MV) in mechanically ventilated patients. The predictive capability of the empirical model was evaluated using experimental respiratory data collected from eighteen mechanically ventilated human subjects. The model predicted PETCO2 response accurately with a root-mean-squared error (RMSE) of 0.22+/-0.16 mmHg and a coefficient of determination (r2) of 0.81+/-0.18 (mean+/-SD) when a second-order rational transfer function was used as its linear dynamic component. Using the proposed model, a closedloop control method for PETCO2 based on a proportionalintegral (PI) compensator was proposed by systematic analysis of the system root locus. For the eighteen mechanically ventilated patient models identified, the PI compensator exhibited acceptable closed-loop response with a settling time of 1.27+/- 0.20 min and a negligible overshoot (0.51+/-1.17%), in addition to zero steady-state PETCO2 set point tracking. The physiologic implication of the proposed empirical model was analyzed by comparing it with the traditional multi-compartmental model widely used in pharmacological modeling.","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 6","pages":"1176-84"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2204067","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30702998","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: 10

Irregular breathing classification from multiple patient datasets using neural networks. 使用神经网络从多个患者数据集进行不规则呼吸分类。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-11-01 Epub Date: 2012-08-21 DOI: 10.1109/TITB.2012.2214395

Suk Jin Lee, Yuichi Motai, Elisabeth Weiss, Shumei S Sun

{"title":"Irregular breathing classification from multiple patient datasets using neural networks.","authors":"Suk Jin Lee, Yuichi Motai, Elisabeth Weiss, Shumei S Sun","doi":"10.1109/TITB.2012.2214395","DOIUrl":"https://doi.org/10.1109/TITB.2012.2214395","url":null,"abstract":"Complicated breathing behaviors including uncertain and irregular patterns can affect the accuracy of predicting respiratory motion for precise radiation dose delivery [3-6, 25, 36]. So far investigations on irregular breathing patterns have been limited to respiratory monitoring of only extreme inspiration and expiration [37]. Using breathing traces acquired on a Cyberknife treatment facility, we retrospectively categorized breathing data into several classes based on the extracted feature metrics derived from breathing data of multiple patients. The novelty of this paper is that the classifier using neural networks can provide clinical merit for the statistical quantitative modeling of irregular breathing motion based on a regular ratio representing how many regular/irregular patterns exist within an observation period. We propose a new approach to detect irregular breathing patterns using neural networks, where the reconstruction error can be used to build the distribution model for each breathing class. The proposed irregular breathing classification used a regular ratio to decide whether or not the current breathing patterns were regular. The sensitivity, specificity, and receiver operating characteristic (ROC) curve of the proposed irregular breathing pattern detector was analyzed. The experimental results of 448 patients breathing patterns validated the proposed irregular breathing classifier. ","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 6","pages":"1253-64"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2214395","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30859762","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: 9

An intelligent scoring system and its application to cardiac arrest prediction. 一种智能评分系统及其在心脏骤停预测中的应用。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-11-01 DOI: 10.1109/titb.2012.2212448

Nan Liu, Zhiping Lin, Jiuwen Cao, Zhixiong Koh, Tongtong Zhang, Guang-Bin Huang, Wee Ser, Marcus Eng Hock Ong

{"title":"An intelligent scoring system and its application to cardiac arrest prediction.","authors":"Nan Liu, Zhiping Lin, Jiuwen Cao, Zhixiong Koh, Tongtong Zhang, Guang-Bin Huang, Wee Ser, Marcus Eng Hock Ong","doi":"10.1109/titb.2012.2212448","DOIUrl":"https://doi.org/10.1109/titb.2012.2212448","url":null,"abstract":"Traditional risk score prediction is based on vital signs and clinical assessment. In this paper, we present an intelligent scoring system for the prediction of cardiac arrest within 72 h. The patient population is represented by a set of feature vectors, from which risk scores are derived based on geometric distance calculation and support vector machine. Each feature vector is a combination of heart rate variability (HRV) parameters and vital signs. Performance evaluation is conducted on the leave-one-out cross-validation framework, and receiver operating characteristic, sensitivity, specificity, positive predictive value, and negative predictive value are reported. Experimental results reveal that the proposed scoring system not only achieves satisfactory performance on determining the risk of cardiac arrest within 72 h but also has the ability to generate continuous risk scores rather than a simple binary decision by a traditional classifier. Furthermore, the proposed scoring system works well for both balanced and imbalanced datasets, and the combination of HRV parameters and vital signs shows superiority in prediction to using HRV parameters only or vital signs only.","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 6","pages":"1324-31"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/titb.2012.2212448","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"31853507","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: 38

Categorization and segmentation of intestinal content frames for wireless capsule endoscopy. 无线胶囊内镜下肠内容框的分类与分割。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-11-01 DOI: 10.1109/titb.2012.2221472

Santi Seguí, Michal Drozdzal, Fernando Vilariño, Carolina Malagelada, Fernando Azpiroz, Petia Radeva, Jordi Vitrià

{"title":"Categorization and segmentation of intestinal content frames for wireless capsule endoscopy.","authors":"Santi Seguí, Michal Drozdzal, Fernando Vilariño, Carolina Malagelada, Fernando Azpiroz, Petia Radeva, Jordi Vitrià","doi":"10.1109/titb.2012.2221472","DOIUrl":"https://doi.org/10.1109/titb.2012.2221472","url":null,"abstract":"Wireless capsule endoscopy (WCE) is a device that allows the direct visualization of gastrointestinal tract with minimal discomfort for the patient, but at the price of a large amount of time for screening. In order to reduce this time, several works have proposed to automatically remove all the frames showing intestinal content. These methods label frames as {intestinal content- clear} without discriminating between types of content (with different physiological meaning) or the portion of image covered. In addition, since the presence of intestinal content has been identified as an indicator of intestinal motility, its accurate quantification can show a potential clinical relevance. In this paper, we present a method for the robust detection and segmentation of intestinal content in WCE images, together with its further discrimination between turbid liquid and bubbles. Our proposal is based on a twofold system. First, frames presenting intestinal content are detected by a support vector machine classifier using color and textural information. Second, intestinal content frames are segmented into {turbid, bubbles, and clear} regions. We show a detailed validation using a large dataset. Our system outperforms previous methods and, for the first time, discriminates between turbid from bubbles media.","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 6","pages":"1341-52"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/titb.2012.2221472","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"31853508","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 two-class approach to the detection of physiological deterioration in patient vital signs, with clinical label refinement. 两类方法来检测生理恶化的病人生命体征，与临床标签细化。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-11-01 Epub Date: 2012-08-07 DOI: 10.1109/TITB.2012.2212202

S Khalid, D Clifton, L Clifton, L Tarassenko

引用次数: 21

Optical tracking-based model surgery for orthognathic surgical planning using a quantifying evaluation method. 基于光学跟踪的模型外科正颌手术计划量化评价方法。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-11-01 Epub Date: 2012-08-24 DOI: 10.1109/TITB.2012.2204894

Tai-Hong Kuo, Tung-Yiu Wong, Tung-Chin Wu, Jing-Jing Fang

引用次数: 5

Accurate coronary centerline extraction, caliber estimation and catheter detection in angiographies. 准确的冠状动脉中心线提取，口径估计和导管检测在血管造影。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-11-01 Epub Date: 2012-09-28 DOI: 10.1109/TITB.2012.2220781

Antonio Hernandez-Vela, Carlo Gatta, Sergio Escalera, Laura Igual, Victoria Martin-Yuste, Manel Sabate, Petia Radeva

{"title":"Accurate coronary centerline extraction, caliber estimation and catheter detection in angiographies.","authors":"Antonio Hernandez-Vela, Carlo Gatta, Sergio Escalera, Laura Igual, Victoria Martin-Yuste, Manel Sabate, Petia Radeva","doi":"10.1109/TITB.2012.2220781","DOIUrl":"https://doi.org/10.1109/TITB.2012.2220781","url":null,"abstract":"Segmentation of coronary arteries in X-Ray angiography is a fundamental tool to evaluate arterial diseases and choose proper coronary treatment. The accurate segmentation of coronary arteries has become an important topic for the registration of different modalities which allows physicians rapid access to different medical imaging information from Computed Tomography (CT) scans or Magnetic Resonance Imaging (MRI). In this paper, we propose an accurate fully automatic algorithm based on Graph-cuts for vessel centerline extraction, caliber estimation, and catheter detection. Vesselness, geodesic paths, and a new multi-scale edgeness map are combined to customize the Graph-cuts approach to the segmentation of tubular structures, by means of a global optimization of the Graph-cuts energy function. Moreover, a novel supervised learning methodology that integrates local and contextual information is proposed for automatic catheter detection. We evaluate the method performance on three datasets coming from different imaging systems. The method performs as good as the expert observer w.r.t. centerline detection and caliber estimation. Moreover, the method discriminates between arteries and catheter with an accuracy of 96.5%, sensitivity of 72%, and precision of 97.4%. ","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 6","pages":"1332-40"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2220781","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30951328","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: 55

ECG-cryptography and authentication in body area networks. 体域网络中的心电加密与认证。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-11-01 Epub Date: 2012-06-26 DOI: 10.1109/TITB.2012.2206115

Zhaoyang Zhang, Honggang Wang, Athanasios V Vasilakos, Hua Fang

{"title":"ECG-cryptography and authentication in body area networks.","authors":"Zhaoyang Zhang, Honggang Wang, Athanasios V Vasilakos, Hua Fang","doi":"10.1109/TITB.2012.2206115","DOIUrl":"https://doi.org/10.1109/TITB.2012.2206115","url":null,"abstract":"Wireless body area networks (BANs) have drawn much attention from research community and industry in recent years. Multimedia healthcare services provided by BANs can be available to anyone, anywhere, and anytime seamlessly. A critical issue in BANs is how to preserve the integrity and privacy of a person's medical data over wireless environments in a resource efficient manner. This paper presents a novel key agreement scheme that allows neighboring nodes in BANs to share a common key generated by electrocardiogram (ECG) signals. The improved Jules Sudan (IJS) algorithm is proposed to set up the key agreement for the message authentication. The proposed ECG-IJS key agreement can secure data communications over BANs in a plug-n-play manner without any key distribution overheads. Both the simulation and experimental results are presented, which demonstrate that the proposed ECG-IJS scheme can achieve better security performance in terms of serval performance metrics such as false acceptance rate (FAR) and false rejection rate (FRR) than other existing approaches. In addition, the power consumption analysis also shows that the proposed ECG-IJS scheme can achieve energy efficiency for BANs.","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 6","pages":"1070-8"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2206115","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30732839","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: 241

Increasing the signal-to-noise ratio by using vertically stacked phased array coils for low-field magnetic resonance imaging. 利用垂直堆叠相控阵线圈提高低场磁共振成像信噪比。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-11-01 Epub Date: 2012-05-03 DOI: 10.1109/TITB.2012.2197633

Dandan Liang, Hon Tat Hui, Tat Soon Yeo

引用次数: 5