IEEE Transactions on Information Technology in Biomedicine最新文献

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Algorithm versus physicians variability evaluation in the cardiac chambers extraction. 算法与医生在心脏腔提取中的可变性评估。
IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-09-01 Epub Date: 2012-06-19 DOI: 10.1109/TITB.2012.2201949
José Silvestre Silva, Jaime B Santos, Diogo Roxo, Paula Martins, Eduardo Castela, Rui Martins
{"title":"Algorithm versus physicians variability evaluation in the cardiac chambers extraction.","authors":"José Silvestre Silva,&nbsp;Jaime B Santos,&nbsp;Diogo Roxo,&nbsp;Paula Martins,&nbsp;Eduardo Castela,&nbsp;Rui Martins","doi":"10.1109/TITB.2012.2201949","DOIUrl":"https://doi.org/10.1109/TITB.2012.2201949","url":null,"abstract":"<p><p>Congenital heart diseases are present in eight of every 1000 newborns. The diagnosis of those pathologies usually depends on the available imaging methods. A correct diagnosis requires a detailed observation of the heart chambers, wall motions, valves function, and quantitative evaluation of the cavity volumes. For that goal numerous automatic algorithms have been proposed to segment the echocardiographic images. In this paper, the authors evaluate the performance of a level set algorithm based on the phase symmetry approach and on a new logarithmic-based stopping function to extract the heart cavity contours simultaneously, and in a fully automatic way. The extracted cardiac borders are then statistically compared with the ones manually sketched by four physicians on a set of 240 cavities. Nonparametric statistical tests are conducted on the data using several figures of merit, in order to study the inter- and intraobserver variabilities among the four physicians and the level set algorithm, concerning to the extracted contours. The results show there is a great concordance about all the used similarity indexes. A higher interobserver variability was found among the physicians than the variability obtained when the algorithm versus physician performance is compared. The statistical analysis suggests the proposed algorithm produces results similar to the ones provided by the physicians.</p>","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 5","pages":"835-41"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2201949","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30722367","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
Health informatics design for assisted diagnosis of subclinical atherosclerosis, structural, and functional arterial age calculus and patient-specific cardiovascular risk evaluation. 辅助诊断亚临床动脉粥样硬化的健康信息学设计,结构和功能动脉年龄计算和患者特定心血管风险评估。
IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-09-01 Epub Date: 2012-03-14 DOI: 10.1109/TITB.2012.2190990
Daniel Bia Santana, Yanina A Zócalo, Ignacio Farro Ventura, Juan Francisco Torrado Arrosa, Lucía Florio, Ricardo Lluberas, Ricardo L Armentano
{"title":"Health informatics design for assisted diagnosis of subclinical atherosclerosis, structural, and functional arterial age calculus and patient-specific cardiovascular risk evaluation.","authors":"Daniel Bia Santana,&nbsp;Yanina A Zócalo,&nbsp;Ignacio Farro Ventura,&nbsp;Juan Francisco Torrado Arrosa,&nbsp;Lucía Florio,&nbsp;Ricardo Lluberas,&nbsp;Ricardo L Armentano","doi":"10.1109/TITB.2012.2190990","DOIUrl":"https://doi.org/10.1109/TITB.2012.2190990","url":null,"abstract":"<p><p>Traditional methods used to assess cardiovascular risk (i.e., the Framingham Risk Score) exhibit clear limitations. To aid in patient-specific risk stratification and diagnosis it has been proposed to evaluate noninvasively structural and functional arterial parameters. A National Public University Center (CUiiDARTE) was created in Uruguay with the aim of developing and applying strategies to improve cardiovascular risk stratification and subclinical vascular disease detection. To this end a health informatics approach and tool was designed, developed, and implemented in CUiiDARTE. Its goals were to: 1) promote screening for subclinical atherosclerosis, 2) develop a centralized database to store information obtained noninvasively from anywhere in our country, 3) develop a biomathematical model integrating values for arterial structure and function into traditional cardiovascular risk assessment, 4) generate a detailed and comprehensive report for the specialist comparing patient data with reference data from the healthy population, 5) generate a similar report (using a structural and functional arterial age calculator) for the patients assessing the state of their arteries. In this paper, we present the main characteristics of the CUiiDARTE health informatics development.</p>","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 5","pages":"943-51"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2190990","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30516847","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
Prediction of high-risk asymptomatic carotid plaques based on ultrasonic image features. 基于超声图像特征预测高危无症状颈动脉斑块。
IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-09-01 Epub Date: 2012-04-03 DOI: 10.1109/TITB.2012.2192446
Efthyvoulos C Kyriacou, Styliani Petroudi, Constantinos S Pattichis, Marios S Pattichis, Maura Griffin, Stavros Kakkos, Andrew Nicolaides
{"title":"Prediction of high-risk asymptomatic carotid plaques based on ultrasonic image features.","authors":"Efthyvoulos C Kyriacou,&nbsp;Styliani Petroudi,&nbsp;Constantinos S Pattichis,&nbsp;Marios S Pattichis,&nbsp;Maura Griffin,&nbsp;Stavros Kakkos,&nbsp;Andrew Nicolaides","doi":"10.1109/TITB.2012.2192446","DOIUrl":"https://doi.org/10.1109/TITB.2012.2192446","url":null,"abstract":"<p><p>Carotid plaques have been associated with ipsilateral neurological symptoms. High-resolution ultrasound can provide information not only on the degree of carotid artery stenosis but also on the characteristics of the arterial wall including the size and consistency of atherosclerotic plaques. The aim of this study is to determine whether the addition of ultrasonic plaque texture features to clinical features in patients with asymptomatic internal carotid artery stenosis (ACS) improves the ability to identify plaques that will produce stroke. 1121 patients with ACS have been scanned with ultrasound and followed for a mean of 4 years. It is shown that the combination of texture features based on second-order statistics spatial gray level dependence matrices (SGLDM) and clinical factors improves stroke prediction (by correctly predicting 89 out of the 108 cases that were symptomatic). Here, the best classification results of 77 ±1.8% were obtained from the use of the SGLDM texture features with support vector machine classifiers. The combination of morphological features with clinical features gave slightly worse classification results of 76 ±2.6% . These findings need to be further validated in additional prospective studies.</p>","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 5","pages":"966-73"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2192446","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30557115","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: 63
Cardiovascular genomics: a biomarker identification pipeline. 心血管基因组学:生物标志物鉴定管道。
IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-09-01 Epub Date: 2012-05-16 DOI: 10.1109/TITB.2012.2199570
John H Phan, Chang F Quo, May Dongmei Wang
{"title":"Cardiovascular genomics: a biomarker identification pipeline.","authors":"John H Phan,&nbsp;Chang F Quo,&nbsp;May Dongmei Wang","doi":"10.1109/TITB.2012.2199570","DOIUrl":"https://doi.org/10.1109/TITB.2012.2199570","url":null,"abstract":"<p><p>Genomic biomarkers are essential for understanding the underlying molecular basis of human diseases such as cardiovascular disease. In this review, we describe a biomarker identification pipeline for cardiovascular disease, which includes 1) high-throughput genomic data acquisition, 2) preprocessing and normalization of data, 3) exploratory analysis, 4) feature selection, 5) classification, and 6) interpretation and validation of candidate biomarkers. We review each step in the pipeline, presenting current and widely used bioinformatics methods. Furthermore, we analyze several publicly available cardiovascular genomics datasets to illustrate the pipeline. Finally, we summarize the current challenges and opportunities for further research.</p>","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 5","pages":"809-22"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2199570","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30634157","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: 12
Investigation on cardiovascular risk prediction using genetic information. 基于遗传信息的心血管风险预测研究。
IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-09-01 Epub Date: 2012-06-18 DOI: 10.1109/TITB.2012.2205009
Li-Na Pu, Ze Zhao, Yuan-Ting Zhang
{"title":"Investigation on cardiovascular risk prediction using genetic information.","authors":"Li-Na Pu,&nbsp;Ze Zhao,&nbsp;Yuan-Ting Zhang","doi":"10.1109/TITB.2012.2205009","DOIUrl":"https://doi.org/10.1109/TITB.2012.2205009","url":null,"abstract":"Cardiovascular disease (CVD) has become the primary killer worldwide and is expected to cause more deaths in the future. Prediction and prevention of CVD have therefore become important social problems. Many groups have developed prediction models for asymptomatic CVD by classifying its risk based on established risk factors (e.g., age, sex, etc.). More recently, studies have uncovered that many genetic variants are associated with CVD outcomes/traits. If treated as single or multiple risk factors, the genetic information could improve the performance of prediction models as well as promote the development of individually tailored risk models. In this paper, eligible genome-wide association studies for CVD outcomes/traits will be overviewed. Clinical trials on CVD prediction using genetic information will be summarized from overall aspects. As yet, most of the single or multiple genetic markers, which have been evaluated in the follow-up clinical studies, did not significantly improve discrimination of CVD. However, the potential clinical utility of genetic information has been uncovered initially and is expected for further development.","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 5","pages":"795-808"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2205009","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30722368","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: 28
GPU-based visualization and synchronization of 4-D cardiac MR and ultrasound images. 基于gpu的4维心脏MR和超声图像的可视化和同步。
IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-09-01 Epub Date: 2012-06-18 DOI: 10.1109/TITB.2012.2205011
Qi Zhang, Roy Eagleson, Terry M Peters
{"title":"GPU-based visualization and synchronization of 4-D cardiac MR and ultrasound images.","authors":"Qi Zhang,&nbsp;Roy Eagleson,&nbsp;Terry M Peters","doi":"10.1109/TITB.2012.2205011","DOIUrl":"https://doi.org/10.1109/TITB.2012.2205011","url":null,"abstract":"<p><p>In minimally invasive image-guided interventions, different imaging modalities, such as magnetic resonance imaging (MRI), computed tomography (CT), and 3-D ultrasound (US), can provide complementary, multispectral image information. Dynamic image registration is a well-established approach that permits real-time diagnostic information to be enhanced by placing lower-quality real-time images within a high quality anatomical context. For the guidance of cardiac interventions, it would be valuable to register dynamic MRI or CT with intra-operative US. However, in practice, either the high computational cost prohibits such real-time visualization, or else the resulting image quality is not satisfactory for accurate interventional guidance. Modern graphics processing units (GPUs) provide the programmability, parallelism and increased computational precision to address this problem. In this paper, we first outline our research on dynamic 3-D cardiac MR and US image acquisition, real-time dual-modality registration and US tracking. Next, we describe our contributions on image processing and optimization techniques for 4-D (3-D + time) cardiac image rendering, and our GPU-accelerated methodologies for multimodality 4-D medical image visualization and optical blending, along with real-time synchronization of dual-modality dynamic cardiac images. Finally, multiple transfer functions, various image composition schemes, and an extended window-level setting and adjustment approach are proposed and applied to facilitate the dynamic volumetric MR and US cardiac data exploration and enhance the feature of interest of US image that is usually restricted to a narrow voxel intensity range.</p>","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 5","pages":"878-90"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2205011","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30722369","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: 16
A state-of-the-art review on segmentation algorithms in intravascular ultrasound (IVUS) images. 血管内超声(IVUS)图像分割算法的最新综述。
IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-09-01 Epub Date: 2012-02-28 DOI: 10.1109/TITB.2012.2189408
Amin Katouzian, Elsa D Angelini, Stéphane G Carlier, Jasjit S Suri, Nassir Navab, Andrew F Laine
{"title":"A state-of-the-art review on segmentation algorithms in intravascular ultrasound (IVUS) images.","authors":"Amin Katouzian,&nbsp;Elsa D Angelini,&nbsp;Stéphane G Carlier,&nbsp;Jasjit S Suri,&nbsp;Nassir Navab,&nbsp;Andrew F Laine","doi":"10.1109/TITB.2012.2189408","DOIUrl":"https://doi.org/10.1109/TITB.2012.2189408","url":null,"abstract":"<p><p>Over the past two decades, intravascular ultrasound (IVUS) image segmentation has remained a challenge for researchers while the use of this imaging modality is rapidly growing in catheterization procedures and in research studies. IVUS provides cross-sectional grayscale images of the arterial wall and the extent of atherosclerotic plaques with high spatial resolution in real time. In this paper, we review recently developed image processing methods for the detection of media-adventitia and luminal borders in IVUS images acquired with different transducers operating at frequencies ranging from 20 to 45 MHz. We discuss methodological challenges, lack of diversity in reported datasets, and weaknesses of quantification metrics that make IVUS segmentation still an open problem despite all efforts. In conclusion, we call for a common reference database, validation metrics, and ground-truth definition with which new and existing algorithms could be benchmarked.</p>","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 5","pages":"823-34"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2189408","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30505013","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: 134
Posture recognition based on fuzzy logic for home monitoring of the elderly. 基于模糊逻辑的姿态识别在老年人居家监控中的应用。
IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-09-01 DOI: 10.1109/TITB.2012.2208757
Damien Brulin, Yannick Benezeth, Estelle Courtial
{"title":"Posture recognition based on fuzzy logic for home monitoring of the elderly.","authors":"Damien Brulin,&nbsp;Yannick Benezeth,&nbsp;Estelle Courtial","doi":"10.1109/TITB.2012.2208757","DOIUrl":"https://doi.org/10.1109/TITB.2012.2208757","url":null,"abstract":"<p><p>We propose in this paper a computer vision-based posture recognition method for home monitoring of the elderly. The proposed system performs human detection prior to the posture analysis; posture recognition is performed only on a human silhouette. The human detection approach has been designed to be robust to different environmental stimuli. Thus, posture is analyzed with simple and efficient features that are not designed to manage constraints related to the environment but only designed to describe human silhouettes. The posture recognition method, based on fuzzy logic, identifies four static postures and is robust to variation in the distance between the camera and the person, and to the person's morphology. With an accuracy of 74.29% of satisfactory posture recognition, this approach can detect emergency situations such as a fall within a health smart home.</p>","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 5","pages":"974-82"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2208757","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30921916","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: 85
QT variability index changes with severity of cardiovascular autonomic neuropathy. QT变异性指数随心血管自主神经病变严重程度的变化。
IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-09-01 Epub Date: 2012-08-24 DOI: 10.1109/TITB.2012.2205010
Ahsan H Khandoker, Mohammad Hasan Imam, Jean-Philippe Couderc, Marimuthu Palaniswami, Herbert F Jelinek
{"title":"QT variability index changes with severity of cardiovascular autonomic neuropathy.","authors":"Ahsan H Khandoker,&nbsp;Mohammad Hasan Imam,&nbsp;Jean-Philippe Couderc,&nbsp;Marimuthu Palaniswami,&nbsp;Herbert F Jelinek","doi":"10.1109/TITB.2012.2205010","DOIUrl":"https://doi.org/10.1109/TITB.2012.2205010","url":null,"abstract":"<p><p>Cardiovascular autonomic neuropathy (CAN) has been frequently postulated to increase susceptibility to ventricular arrhythmias and sudden cardiac death in diabetic patients. The relation between the progression of CAN in diabetes and ventricular repolarization remains to be fully described. Therefore, this study examined QT interval variability and heart rate interbeat variability to identify any alterations of cardiac repolarization in diabetic patients in relation to severity of CAN. Seventy control participants without (CAN-) and 74 patients with CAN (CAN+) were enrolled in this study. Among 74 CAN + patients, 62 are early CAN + (eCAN +) , and 12 are definite CAN + (dCAN +) according to autonomic nervous system function tests as described by Ewing. The results showed that the QT variability index (QTVI) was significantly higher and positive in the dCAN + (0.51 ±1.32) group than in the eCAN + (-0.39 ±0.91) and CAN - (-0.54 ±0.72) groups. The QT variability to heart-rate variability ratio provides a measure of the balance between QT and heart interbeat variability. QTVI was more sensitive in identifying disease progression at all stages. Our study supports the hypothesis that QTVI could be used as a clinical test to identify early CAN and as a marker of CAN progression in diabetic patients and may help physicians in determining the best therapeutic strategy for these patients.</p>","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 5","pages":"900-6"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2205010","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30863170","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: 32
Noncontact millimeter-wave real-time detection and tracking of heart rate on an ambulatory subject. 非接触式毫米波实时检测和跟踪动态受试者的心率。
IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-09-01 Epub Date: 2012-06-13 DOI: 10.1109/TITB.2012.2204760
Ilya V Mikhelson, Philip Lee, Sasan Bakhtiari, Thomas W Elmer, Aggelos K Katsaggelos, Alan V Sahakian
{"title":"Noncontact millimeter-wave real-time detection and tracking of heart rate on an ambulatory subject.","authors":"Ilya V Mikhelson,&nbsp;Philip Lee,&nbsp;Sasan Bakhtiari,&nbsp;Thomas W Elmer,&nbsp;Aggelos K Katsaggelos,&nbsp;Alan V Sahakian","doi":"10.1109/TITB.2012.2204760","DOIUrl":"https://doi.org/10.1109/TITB.2012.2204760","url":null,"abstract":"<p><p>This paper presents a solution to an aiming problem in the remote sensing of vital signs using an integration of two systems. The problem is that to collect meaningful data with a millimeter-wave sensor, the antenna must be pointed very precisely at the subject's chest. Even small movements could make the data unreliable. To solve this problem, we attached a camera to the millimeter-wave antenna, and mounted this combined system on a pan/tilt base. Our algorithm initially finds a subject's face and then tracks him/her through subsequent frames, while calculating the position of the subject's chest. For each frame, the camera sends the location of the chest to the pan/tilt base, which rotates accordingly to make the antenna point at the subject's chest. This paper presents a system for concurrent tracking and data acquisition with results from some sample scenarios.</p>","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 5","pages":"927-34"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2204760","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30700788","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: 41
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