{"title":"A feasibility study of enhancing independent task performance for people with cognitive impairments through use of a handheld location-based prompting system.","authors":"Yao-Jen Chang, Shu-Fang Chen, Li-Der Chou","doi":"10.1109/TITB.2012.2198484","DOIUrl":"https://doi.org/10.1109/TITB.2012.2198484","url":null,"abstract":"<p><p>An autonomous task-prompting system is presented to increase workplace and life independence for people with cognitive impairments such as traumatic brain injury, intellectual disability, schizophrenia, and Down syndrome. This paper describes an approach to providing distributed cognition support of work engagement for persons with cognitive disabilities. In the pilot study, a prototype was built and tested in a community-based rehabilitation program involving pre-service food preparation training of 8 participants with cognitive impairments. The results show improvement in helping with task engagement is statistically significant compared to the oral-instruction method. A follow-up comparative study with 2 participants evaluated the shadow-team approach against the proposed system. Although the number of participants was few, the participants were studied in depth and the findings were very promising. The results in the autonomous task prompting without staff intervention indicate that the performance is statistically as good as the shadow-team approach. Our findings suggest that acquisition of job skills may be facilitated by the proposed system in conjunction with operant conditioning strategies. </p>","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 6","pages":"1157-63"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2198484","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30613865","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}
Tsung-Heng Tsai, Jia-Hua Hong, Liang-Hung Wang, Shuenn-Yuh Lee
{"title":"Low-power analog integrated circuits for wireless ECG acquisition systems.","authors":"Tsung-Heng Tsai, Jia-Hua Hong, Liang-Hung Wang, Shuenn-Yuh Lee","doi":"10.1109/TITB.2012.2188412","DOIUrl":"https://doi.org/10.1109/TITB.2012.2188412","url":null,"abstract":"<p><p>This paper presents low-power analog ICs for wireless ECG acquisition systems. Considering the power-efficient communication in the body sensor network, the required low-power analog ICs are developed for a healthcare system through miniaturization and system integration. To acquire the ECG signal, a low-power analog front-end system, including an ECG signal acquisition board, an on-chip low-pass filter, and an on-chip successive-approximation analog-to-digital converter for portable ECG detection devices is presented. A quadrature CMOS voltage-controlled oscillator and a 2.4 GHz direct-conversion transmitter with a power amplifier and upconversion mixer are also developed to transmit the ECG signal through wireless communication. In the receiver, a 2.4 GHz fully integrated CMOS RF front end with a low-noise amplifier, differential power splitter, and quadrature mixer based on current-reused folded architecture is proposed. The circuits have been implemented to meet the specifications of the IEEE 802.15.4 2.4 GHz standard. The low-power ICs of the wireless ECG acquisition systems have been fabricated using a 0.18 μm Taiwan Semiconductor Manufacturing Company (TSMC) CMOS standard process. The measured results on the human body reveal that ECG signals can be acquired effectively by the proposed low-power analog front-end ICs.</p>","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 5","pages":"907-17"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2188412","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30494910","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}
Spyretta Golemati, John S Stoitsis, Aimilia Gastounioti, Alexandros C Dimopoulos, Vassiliki Koropouli, Konstantina S Nikita
{"title":"Comparison of block matching and differential methods for motion analysis of the carotid artery wall from ultrasound images.","authors":"Spyretta Golemati, John S Stoitsis, Aimilia Gastounioti, Alexandros C Dimopoulos, Vassiliki Koropouli, Konstantina S Nikita","doi":"10.1109/TITB.2012.2193411","DOIUrl":"https://doi.org/10.1109/TITB.2012.2193411","url":null,"abstract":"Motion of the carotid artery wall is important for the quantification of arterial elasticity and contractility and can be estimated with a number of techniques. In this paper, a framework for quantitative evaluation of motion analysis techniques from B-mode ultrasound images is introduced. Six synthetic sequences were produced using 1) a real image corrupted by Gaussian and speckle noise of 25 and 15 dB, and 2) the ultrasound simulation package Field II. In both cases, a mathematical model was used, which simulated the motion of the arterial wall layers and the surrounding tissue, in the radial and longitudinal directions. The performance of four techniques, namely optical flow (OFHS), weighted least-squares optical flow (OFLK(WLS)), block matching (BM), and affine block motion model (ABMM), was investigated in the context of this framework. The average warping indices were lowest for OFLK(WLS) (1.75 pixels), slightly higher for ABMM (2.01 pixels), and highest for BM (6.57 pixels) and OFHS (11.57 pixels). Due to its superior performance, OFLK(WLS) was used to quantify motion of selected regions of the arterial wall in real ultrasound image sequences of the carotid artery. Preliminary results indicate that OFLK(WLS) is promising, because it efficiently quantified radial, longitudinal, and shear strains in healthy adults and diseased subjects.","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 5","pages":"852-8"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2193411","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30564989","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}
Marie Xavier, Alain Lalande, Paul M Walker, François Brunotte, Louis Legrand
{"title":"An adapted optical flow algorithm for robust quantification of cardiac wall motion from standard cine-MR examinations.","authors":"Marie Xavier, Alain Lalande, Paul M Walker, François Brunotte, Louis Legrand","doi":"10.1109/TITB.2012.2204893","DOIUrl":"https://doi.org/10.1109/TITB.2012.2204893","url":null,"abstract":"<p><p>This paper presents a method for local myocardial motion estimation from a conventional steady-state free precession cine-MRI sequence using a modified phase-based optical flow (OF) technique. Initially, the technique was tested on synthetic images to evaluate its robustness with regards to Rician noise and to brightness variations. The method was then applied to cardiac images acquired on 11 healthy subjects. Myocardial velocity is measured in centimeter per second in each studied pixel and visualized as colored vectors superimposed on MRI images. The estimated phase-based OF results were compared with a reference OF method and gave similar results on synthetic images, i.e., without a significant difference of the mean angular error. Applied on cine-MRI of normal hearts, the calculated velocities from short-axis images concord with values obtained in the literature. The advantage of the presented method is its robustness with respect to Rician noise and to brightness changes often observed in cine-MRI sequences, and especially with the through-plane movement of the heart. Motion assessment using our method on cine-MR images gives promising results on motion estimation on a pixel-by-pixel basis, leading to a regional measurement of the time-velocity course of myocardial displacement in different segments of the heart wall.</p>","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 5","pages":"859-68"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2204893","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30706061","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}
Che-Wei Lin, Ya-Ting C Yang, Jeen-Shing Wang, Yi-Ching Yang
{"title":"A wearable sensor module with a neural-network-based activity classification algorithm for daily energy expenditure estimation.","authors":"Che-Wei Lin, Ya-Ting C Yang, Jeen-Shing Wang, Yi-Ching Yang","doi":"10.1109/TITB.2012.2206602","DOIUrl":"https://doi.org/10.1109/TITB.2012.2206602","url":null,"abstract":"<p><p>This paper presents a wearable module and neural-network-based activity classification algorithm for energy expenditure estimation. The purpose of our design is first to categorize physical activities with similar intensity levels, and then to construct energy expenditure regression (EER) models using neural networks in order to optimize the estimation performance. The classification of physical activities for EER model construction is based on the acceleration and ECG signal data collected by wearable sensor modules developed by our research lab. The proposed algorithm consists of procedures for data collection, data preprocessing, activity classification, feature selection, and construction of EER models using neural networks. In order to reduce the computational load and achieve satisfactory estimation performance, we employed sequential forward and backward search strategies for feature selection. Two representative neural networks, a radial basis function network (RBFN) and a generalized regression neural network (GRNN), were employed as EER models for performance comparisons. Our experimental results have successfully validated the effectiveness of our wearable sensor module and its neural-network-based activity classification algorithm for energy expenditure estimation. In addition, our results demonstrate the superior performance of GRNN as compared to RBFN.</p>","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 5","pages":"991-8"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2206602","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30821461","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}
Xinjian Chen, Marcelo S Nacif, Songtao Liu, Christopher Sibley, Ronald M Summers, David A Bluemke, Jianhua Yao
{"title":"A framework of whole heart extracellular volume fraction estimation for low-dose cardiac CT images.","authors":"Xinjian Chen, Marcelo S Nacif, Songtao Liu, Christopher Sibley, Ronald M Summers, David A Bluemke, Jianhua Yao","doi":"10.1109/TITB.2012.2204405","DOIUrl":"10.1109/TITB.2012.2204405","url":null,"abstract":"<p><p>Cardiac CT (CCT) is widely available and has been validated for the detection of focal myocardial scar using a delayed enhancement technique in this paper. CCT, however, has not been previously evaluated for quantification of diffuse myocardial fibrosis. In our investigation, we sought to evaluate the potential of low-dose CCT for the measurement of myocardial whole heart extracellular volume (ECV) fraction. ECV is altered under conditions of increased myocardial fibrosis. A framework consisting of three main steps was proposed for CCT whole heart ECV estimation. First, a shape-constrained graph cut (GC) method was proposed for myocardium and blood pool segmentation on postcontrast image. Second, the symmetric demons deformable registration method was applied to register precontrast to postcontrast images. So the correspondences between the voxels from precontrast to postcontrast images were established. Finally, the whole heart ECV value was computed. The proposed method was tested on 20 clinical low-dose CCT datasets with precontrast and postcontrast images. The preliminary results demonstrated the feasibility and efficiency of the proposed method.</p>","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 5","pages":"842-51"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3491075/pdf/nihms-413058.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30702999","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}
Craig J Hartley, Morteza Naghavi, Oberdan Parodi, Constantinos S Pattichis, Carmen C Y Poon, Yuan-Ting Zhang
{"title":"Cardiovascular health informatics: risk screening and intervention.","authors":"Craig J Hartley, Morteza Naghavi, Oberdan Parodi, Constantinos S Pattichis, Carmen C Y Poon, Yuan-Ting Zhang","doi":"10.1109/TITB.2012.2216057","DOIUrl":"https://doi.org/10.1109/TITB.2012.2216057","url":null,"abstract":"<p><p>Despite enormous efforts to prevent cardiovascular disease (CVD) in the past, it remains the leading cause of death in most countries worldwide. Around two-thirds of these deaths are due to acute events, which frequently occur suddenly and are often fatal before medical care can be given. New strategies for screening and early intervening CVD, in addition to the conventional methods, are therefore needed in order to provide personalized and pervasive healthcare. In this special issue, selected emerging technologies in health informatics for screening and intervening CVDs are reported. These papers include reviews or original contributions on 1) new potential genetic biomarkers for screening CVD outcomes and high-throughput techniques for mining genomic data; 2) new imaging techniques for obtaining faster and higher resolution images of cardiovascular imaging biomarkers such as the cardiac chambers and atherosclerotic plaques in coronary arteries, as well as possible automatic segmentation, identification, or fusion algorithms; 3) new physiological biomarkers and novel wearable and home healthcare technologies for monitoring them in daily lives; 4) new personalized prediction models of plaque formation and progression or CVD outcomes; and 5) quantifiable indices and wearable systems to measure them for early intervention of CVD through lifestyle changes. It is hoped that the proposed technologies and systems covered in this special issue can result in improved CVD management and treatment at the point of need, offering a better quality of life to the patient.</p>","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 5","pages":"791-4"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2216057","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30921915","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}
Christina Strohrmann, Holger Harms, Cornelia Kappeler-Setz, Gerhard Tröster
{"title":"Monitoring kinematic changes with fatigue in running using body-worn sensors.","authors":"Christina Strohrmann, Holger Harms, Cornelia Kappeler-Setz, Gerhard Tröster","doi":"10.1109/TITB.2012.2201950","DOIUrl":"https://doi.org/10.1109/TITB.2012.2201950","url":null,"abstract":"<p><p>In this paper, we investigate monitoring of kinematic changes evoked by fatigue in running using wearable technology. Movement data were recorded with ETHOS devices. ETHOS is the ETH Orientation Sensor, a customized inertial measurement unit for unconstrained monitoring of human movement. We perform two real-world experiments, in which 21 runners of different skill levels participated. The real-world experiments capture two exhausting 45-min runs: one on a treadmill and one on a conventional outdoor track. We describe and evaluate algorithms to extract kinematic parameters from the sensor data. We identified parameters that change with fatigue for all runners, ones that change for runners of distinct skill levels, and ones that are dependent on an individual's running technique. Overall, we found that observations from treadmill running are not always generalizable to outdoor running. We, thus, argue for using wearable technology to provide athletes and trainers with continuous, quantitative objective measurements of running technique. These could be used to further gain insight into the complex relationship of running kinematics, injury risk, fatigue, and running economy.</p>","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 5","pages":"983-90"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2201950","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30673107","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}
Oberdan Parodi, Themis P Exarchos, Paolo Marraccini, Federico Vozzi, Zarko Milosevic, Dalibor Nikolic, Antonis Sakellarios, Panagiotis K Siogkas, Dimitrios I Fotiadis, Nenad Filipovic
{"title":"Patient-specific prediction of coronary plaque growth from CTA angiography: a multiscale model for plaque formation and progression.","authors":"Oberdan Parodi, Themis P Exarchos, Paolo Marraccini, Federico Vozzi, Zarko Milosevic, Dalibor Nikolic, Antonis Sakellarios, Panagiotis K Siogkas, Dimitrios I Fotiadis, Nenad Filipovic","doi":"10.1109/TITB.2012.2201732","DOIUrl":"https://doi.org/10.1109/TITB.2012.2201732","url":null,"abstract":"<p><p>Computational fluid dynamics methods based on in vivo 3-D vessel reconstructions have recently been identified the influence of wall shear stress on endothelial cells as well as on vascular smooth muscle cells, resulting in different events such as flow mediated vasodilatation, atherosclerosis, and vascular remodeling. Development of image-based modeling technologies for simulating patient-specific local blood flows is introducing a novel approach to risk prediction for coronary plaque growth and progression. In this study, we developed 3-D model of plaque formation and progression that was tested in a set of patients who underwent coronary computed tomography angiography (CTA) for anginal symptoms. The 3-D blood flow is described by the Navier-Stokes equations, together with the continuity equation. Mass transfer within the blood lumen and through the arterial wall is coupled with the blood flow and is modeled by a convection-diffusion equation. The low density lipoprotein (LDL) transports in lumen of the vessel and through the vessel tissue (which has a mass consumption term) are coupled by Kedem-Katchalsky equations. The inflammatory process is modeled using three additional reaction-diffusion partial differential equations. A full 3-D model was created. It includes blood flow and LDL concentration, as well as plaque formation and progression. Furthermore, features potentially affecting plaque growth, such as patient risk score, circulating biomarkers, localization and composition of the initial plaque, and coronary vasodilating capability were also investigated. The proof of concept of the model effectiveness was assessed by repetition of CTA, six months after.</p>","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":" ","pages":"952-65"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2201732","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39971885","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}
Carson A Wick, Jin-Jyh Su, James H McClellan, Oliver Brand, Pamela T Bhatti, Ashley L Buice, Arthur E Stillman, Xiangyang Tang, Srini Tridandapani
{"title":"A system for seismocardiography-based identification of quiescent heart phases: implications for cardiac imaging.","authors":"Carson A Wick, Jin-Jyh Su, James H McClellan, Oliver Brand, Pamela T Bhatti, Ashley L Buice, Arthur E Stillman, Xiangyang Tang, Srini Tridandapani","doi":"10.1109/TITB.2012.2198071","DOIUrl":"https://doi.org/10.1109/TITB.2012.2198071","url":null,"abstract":"<p><p>Seismocardiography (SCG), a representation of mechanical heart motion, may more accurately determine periods of cardiac quiescence within a cardiac cycle than the electrically derived electrocardiogram (EKG) and, thus, may have implications for gating in cardiac computed tomography. We designed and implemented a system to synchronously acquire echocardiography, EKG, and SCG data. The device was used to study the variability between EKG and SCG and characterize the relationship between the mechanical and electrical activity of the heart. For each cardiac cycle, the feature of the SCG indicating Aortic Valve Closure was identified and its time position with respect to the EKG was observed. This position was found to vary for different heart rates and between two human subjects. A color map showing the magnitude of the SCG acceleration and computed velocity was derived, allowing for direct visualization of quiescent phases of the cardiac cycle with respect to heart rate.</p>","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 5","pages":"869-77"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2198071","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30613864","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}