当前位置： SCI文献检索 > IEEE Journal of Biomedical and Health Informatics期刊下所有文献 > Vein visualization using a smart phone with multispectral Wiener estimation for point-of-care applications.

Vein visualization using a smart phone with multispectral Wiener estimation for point-of-care applications.

Abstract：

:Effective vein visualization is clinically important for various point-of-care applications, such as needle insertion. It can be achieved by utilizing ultrasound imaging or by applying infrared laser excitation and monitoring its absorption. However, while these approaches can be used for vein visualization, they are not suitable for point-of-care applications because of their cost, time, and accessibility. In this paper, a new vein visualization method based on multispectral Wiener estimation is proposed and its real-time implementation on a smart phone is presented. In the proposed method, a conventional RGB camera on a commercial smart phone (i.e., Galaxy Note 2, Samsung Electronics Inc., Suwon, Korea) is used to acquire reflectance information from veins. Wiener estimation is then applied to extract the multispectral information from the veins. To evaluate the performance of the proposed method, an experiment was conducted using a color calibration chart (ColorChecker Classic, X-rite, Grand Rapids, MI, USA) and an average root-mean-square error of 12.0% was obtained. In addition, an in vivo subcutaneous vein imaging experiment was performed to explore the clinical performance of the smart phone-based Wiener estimation. From the in vivo experiment, the veins at various sites were successfully localized using the reconstructed multispectral images and these results were confirmed by ultrasound B-mode and color Doppler images. These results indicate that the presented multispectral Wiener estimation method can be used for visualizing veins using a commercial smart phone for point-of-care applications (e.g., vein puncture guidance).

journal_name

IEEE J Biomed Health Inform

journal_title

IEEE journal of biomedical and health informatics

authors

Song JH,Kim C,Yoo Y

doi

10.1109/JBHI.2014.2313145

subject

Has Abstract

pub_date

2015-03-01 00:00:00

pages

773-8

issue

2

eissn

2168-2194

issn

2168-2208

journal_volume

19

pub_type

杂志文章

相关文献

IEEE Journal of Biomedical and Health Informatics文献大全
  • How to Extract More Information With Less Burden: Fundus Image Classification and Retinal Disease Localization With Ophthalmologist Intervention.

    abstract：:Image classification using convolutional neural networks (CNNs) outperforms other state-of-the-art methods. Moreover, attention can be visualized as a heatmap to improve the explainability of results of a CNN. We designed a framework that can generate heatmaps reflecting lesion regions precisely. We generated initial ...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2020.3011805

    authors： Meng Q,Hashimoto Y,Satoh S

    更新日期：2020-12-01 00:00:00

  • Optimized Multistable Stochastic Resonance for the Enhancement of Pituitary Microadenoma in MRI.

    abstract：:Magnetic resonance imaging (MRI) is the modality of choice as far as imaging diagnosis of pathologies in the pituitary gland is concerned. Furthermore, the advent of dynamic contrast enhanced (DCE) has enhanced the capability of this modality in detecting minute benign but endocrinologically significant tumors called ...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2017.2715078

    authors： Singh M,Verma A,Sharma N

    更新日期：2018-05-01 00:00:00

  • RACE-Net: A Recurrent Neural Network for Biomedical Image Segmentation.

    abstract：:The level set based deformable models (LDM) are commonly used for medical image segmentation. However, they rely on a handcrafted curve evolution velocity that needs to be adapted for each segmentation task. The Convolutional Neural Networks (CNN) address this issue by learning robust features in a supervised end-to-e...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2018.2852635

    authors： Chakravarty A,Sivaswamy J

    更新日期：2019-05-01 00:00:00

  • Detection and Control of Unannounced Exercise in the Artificial Pancreas Without Additional Physiological Signals.

    abstract：:The purpose of this study was to develop an algorithm that detects aerobic exercise and triggers disturbance rejection actions to prevent exercise-induced hypoglycemia. This approach can provide a solution to poor glycemic control during and after aerobic exercise, a major hindrance in the participation of exercise by...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2019.2898558

    authors： Ramkissoon CM,Bertachi A,Beneyto A,Bondia J,Vehi J

    更新日期：2020-01-01 00:00:00

  • Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI.

    abstract：:Brain Metastases (BM) complicate 20-40% of cancer cases. BM lesions can present as punctate (1 mm) foci, requiring high-precision Magnetic Resonance Imaging (MRI) in order to prevent inadequate or delayed BM treatment. However, BM lesion detection remains challenging partly due to their structural similarities to norm...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2020.2982103

    authors： Dikici E,Ryu JL,Demirer M,Bigelow M,White RD,Slone W,Erdal BS,Prevedello LM

    更新日期：2020-10-01 00:00:00

  • Arrhythmia discrimination using a smart phone.

    abstract：:We hypothesize that our smartphone-based arrhythmia discrimination algorithm with data acquisition approach reliably differentiates between normal sinus rhythm (NSR), atrial fibrillation (AF), premature ventricular contractions (PVCs) and premature atrial contraction (PACs) in a diverse group of patients having these ...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2015.2418195

    authors： Chong JW,Esa N,McManus DD,Chon KH

    更新日期：2015-05-01 00:00:00

  • Using Lexical Chains to Identify Text Difficulty: A Corpus Statistics and Classification Study.

    abstract：:Our goal is data-driven discovery of features for text simplification. In this paper, we investigate three types of lexical chains: exact, synonymous, and semantic. A lexical chain links semantically related words in a document. We examine their potential with a document-level corpus statistics study (914 texts) to es...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2018.2885465

    authors： Mukherjee P,Leroy G,Kauchak D

    更新日期：2019-09-01 00:00:00

  • Data mining in bone marrow transplant records to identify patients with high odds of survival.

    abstract：:Patients undergoing a bone marrow stem cell transplant (BMT) face various risk factors. Analyzing data from past transplants could enhance the understanding of the factors influencing success. Records up to 120 measurements per transplant procedure from 1751 patients undergoing BMT were collected (Shariati Hospital). ...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2013.2274733

    authors： Taati B,Snoek J,Aleman D,Ghavamzadeh A

    更新日期：2014-01-01 00:00:00

  • A Fuzzy Kernel Motion Classifier for Autonomous Stroke Rehabilitation.

    abstract：:Autonomous poststroke rehabilitation systems which can be deployed outside hospital with no or reduced supervision have attracted increasing amount of research attentions due to the high expenditure associated with the current inpatient stroke rehabilitation systems. To realize an autonomous systems, a reliable patien...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2015.2430524

    authors： Zhang Z,Liparulo L,Panella M,Gu X,Fang Q

    更新日期：2016-05-01 00:00:00

  • 2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-center Study.

    abstract：OBJECTIVE:Radiomics, an emerging tool for medical image analysis, is potential towards precisely characterizing gastric cancer (GC). Whether using one-slice 2D annotation or whole-volume 3D annotation remains a long-time debate, especially for heterogeneous GC. We comprehensively compared 2D and 3D radiomic features' r...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2020.3002805

    authors： Meng L,Dong D,Chen X,Fang M,Wang R,Li J,Liu Z,Tian J

    更新日期：2020-06-16 00:00:00

  • The technologically integrated oncosimulator: combining multiscale cancer modeling with information technology in the in silico oncology context.

    abstract：:This paper outlines the major components and function of the technologically integrated oncosimulator developed primarily within the Advancing Clinico Genomic Trials on Cancer (ACGT) project. The Oncosimulator is defined as an information technology system simulating in vivo tumor response to therapeutic modalities wi...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2013.2284276

    authors： Stamatakos G,Dionysiou D,Lunzer A,Belleman R,Kolokotroni E,Georgiadi E,Erdt M,Pukacki J,Rüeping S,Giatili S,d'Onofrio A,Sfakianakis S,Marias K,Desmedt C,Tsiknakis M,Graf N

    更新日期：2014-05-01 00:00:00

  • Automatic motion analysis system for pyloric flow in ultrasonic videos.

    abstract：:Ultrasonography has been widely used to evaluate duodenogastric reflux (DGR). But to the best of our knowledge, no automatic analysis system was developed to realize the quantitative computer-aided analysis. In this paper, we propose a system to perform the automatic detection of DGR in the ultrasonic image sequences ...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2013.2272090

    authors： Chen C,Wang Y,Yu J,Zhou Z,Shen L,Chen YQ

    更新日期：2014-01-01 00:00:00

  • A Resampling Based Grid Search Method to Improve Reliability and Robustness of Mixture-Item Response Theory Models of Multimorbid High-Risk Patients.

    abstract：:There are many statistics available to the applied statistician for assessing model fit and even more methods for assessing internal and external validity. We detail a useful approach using a grid search technique that balances the internal model consistency with generalizability and can be used with models that natur...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2019.2948734

    authors： Batten AJ,Thorpe J,Piegari RI,Rosland AM

    更新日期：2020-06-01 00:00:00

  • Simultaneous Clustering and Feature Weighting Using Multiobjective Optimization for Identifying Functionally Similar miRNAs.

    abstract：:MicroRNAs (miRNAs) are a type of RNAs, which are responsible for monitoring the gene expression values. Recent research asserts that miRNAs form some clustering on chromosomes. The miRNAs belonging to a particular cluster are highly similar in terms of their activity and they are termed as "coregulated" miRNAs. The cu...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2017.2784898

    authors： Saha S,Acharya S,K K,Miriyala S

    更新日期：2018-09-01 00:00:00

  • Sleeve for Knee Angle Monitoring: An IMU-POF Sensor Fusion System.

    abstract：:The knee flexion-extension angle is an important variable to be monitored in various clinical scenarios, for example, during physical rehabilitation assessment. The purpose of this work is to develop and validate a sensor fusion system based on a knee sleeve for monitoring of physical therapy. The system consists of m...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2020.2988360

    authors： Vargas Valencia LS,B A Schneider F,Leal-Junior A,Caicedo-Rodriguez P,Sierra-Arevalo WA,Rodriguez-Cheu LE,Bastos-Filho TF,Frizera A

    更新日期：2020-04-20 00:00:00

  • DBN-Extended: A Dynamic Bayesian Network Model Extended With Temporal Abstractions for Coronary Heart Disease Prognosis.

    abstract：:Dynamic Bayesian networks (DBNs) are temporal probabilistic graphical models that model temporal events and their causal and temporal dependencies. Temporal abstraction (TA) is a knowledge-based process that abstracts raw temporal data into higher level interval-based concepts. In this paper, we present an extended DB...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2015.2420534

    authors： Orphanou K,Stassopoulou A,Keravnou E

    更新日期：2016-05-01 00:00:00

  • Fast QRS Detection and ECG Compression Based on Signal Structural Analysis.

    abstract：OBJECTIVE:This paper presents a fast approach to detect QRS complexes based on a simple analysis of the temporal ECG structure. METHODS:The ECG is processed through several steps involving noise removal, feature detection, and feature analysis. The obtained feature set, which holds most of the ECG information while re...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2018.2792404

    authors： Burguera A

    更新日期：2019-01-01 00:00:00

  • Contribution of a Trunk Accelerometer System to the Characterization of Gait in Patients With Mild-to-Moderate Parkinson's Disease.

    abstract：OBJECTIVE:Gait disturbances like shuffling and short steps are obvious at visual observation in patients with advanced Parkinson's disease (PD). However, quantitative methods are increasingly used to evaluate the wide range of gait abnormalities that may occur over the disease course. The goal of this study was to test...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2015.2469540

    authors： Demonceau M,Donneau AF,Croisier JL,Skawiniak E,Boutaayamou M,Maquet D,Garraux G

    更新日期：2015-11-01 00:00:00

  • A Workflow-Driven Formal Methods Approach to the Generation of Structured Checklists for Intrahospital Patient Transfers.

    abstract：:Intrahospital transfers are a common but hazardous aspect of hospital care, with a large number of incidents posing a threat to patient safety. A growing body of work advocates the use of checklists for minimizing intrahospital transfer risk, but the majority of existing checklists are not guaranteed to be error-free ...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2016.2579881

    authors： Manataki A,Fleuriot J,Papapanagiotou P

    更新日期：2017-07-01 00:00:00

  • Compressed sensing technology-based spectral estimation of heart rate variability using the integral pulse frequency modulation model.

    abstract：:In this paper, a compressed sensing (CS)-based spectral estimation of heart rate variability (HRV) using the integral pulse frequency modulation (IPFM) model is introduced. Previous research in the literature indicated that the IPFM model is widely accepted as a functional description of the cardiac pacemaker, and thu...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2013.2282307

    authors： Chen SW,Chao SC

    更新日期：2014-05-01 00:00:00

  • Feasibility of Fingertip Oscillometric Blood Pressure Measurement: Model-Based Analysis and Experimental Validation.

    abstract：:The most commonly used oscillometric upper-arm (UA) blood pressure (BP) monitors are not convenient enough for ambulatory BP monitoring, given the large size of the arm cuff and the compression of UA during the measurement. Finger-worn oscillometric BP devices featuring miniaturized finger cuff have been developed and...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2019.2919896

    authors： Liu J,Sodini CG,Ou Y,Yan B,Zhang YT,Zhao N

    更新日期：2020-02-01 00:00:00

  • Investigating the Correlation of Ktrans With Semi-Quantitative MRI Parameters Towards More Robust and Reproducible Perfusion Imaging Biomarkers in Three Cancer Types.

    abstract：:MRI Imaging biomarkers (IBs) have the potential to deliver quantitative cancer descriptors of pathophysiology for non-invasively screening, diagnosing, and monitoring cancer patients across the cancer continuum. Despite a worldwide effort to standardize IBs involving major cancer organizations, significant variability...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2018.2888979

    authors： Ioannidis GS,Maris TG,Nikiforaki K,Karantanas A,Marias K

    更新日期：2019-09-01 00:00:00

  • A Deep Convolutional Neural Network-Based Framework for Automatic Fetal Facial Standard Plane Recognition.

    abstract：:Ultrasound imaging has become a prevalent examination method in prenatal diagnosis. Accurate acquisition of fetal facial standard plane (FFSP) is the most important precondition for subsequent diagnosis and measurement. In the past few years, considerable effort has been devoted to FFSP recognition using various hand-...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2017.2705031

    authors： Yu Z,Tan EL,Ni D,Qin J,Chen S,Li S,Lei B,Wang T

    更新日期：2018-05-01 00:00:00

  • Robotic-Assisted Needle Steering Around Anatomical Obstacles Using Notched Steerable Needles.

    abstract：:Robotic-assisted needle steering can enhance the accuracy of needle-based interventions. Application of current needle steering techniques are restricted by the limited deflection curvature of needles. Here, a novel steerable needle with improved curvature is developed and used with an online motion planner to steer t...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2017.2780192

    authors： Khadem M,Rossa C,Usmani N,Sloboda RS,Tavakoli M

    更新日期：2018-11-01 00:00:00

  • The single equivalent moving dipole model does not require spatial anatomical information to determine cardiac sources of activation.

    abstract：:Radio-frequency catheter ablation (RCA) is an established treatment for ventricular tachycardia (VT). A key feature of the RCA procedure is the need for a mapping approach that facilitates the identification of the target ablation site. In this study, we investigate the effect of the location of the reference potentia...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2013.2268012

    authors： Sohn K,Lv W,Lee K,Galea AM,Hirschman GB,Hayward AM,Cohen RJ,Armoundas AA

    更新日期：2014-01-01 00:00:00

  • Attention-aware Residual Network based Manifold Learning for White Blood Cells Classification.

    abstract：:The classification of six types of white blood cells (WBCs) is considered essential for leukemia diagnosis, while the classification is labor-intensive and strict with the clinical experience. To relieve the complicated process with an efficient and automatic method, we propose the Attention-aware Residual Network bas...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2020.3012711

    authors： Huang P,Wang J,Zhang J,Shen Y,Liu C,Song W,Wu S,Zuo Y,Lu Z,Li D

    更新日期：2020-07-29 00:00:00

  • User independent estimations of gait events with minimal sensor data.

    abstract：GOAL:The purpose of this study was to provide an initial examination of the utility of the Beta Process - Auto Regressive - Hidden Markov Model (BP-AR-HMM) for the prior identification of gait events. A secondary objective was to determine whether the output of the model could be used for classification and prediction ...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2020.3028827

    authors： Donahue S,Jin L,Hahn M

    更新日期：2020-10-05 00:00:00

  • A joint FED watermarking system using spatial fusion for verifying the security issues of teleradiology.

    abstract：:Teleradiology allows transmission of medical images for clinical data interpretation to provide improved e-health care access, delivery, and standards. The remote transmission raises various ethical and legal issues like image retention, fraud, privacy, malpractice liability, etc. A joint FED watermarking system means...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2013.2281322

    authors： Viswanathan P,Krishna PV

    更新日期：2014-05-01 00:00:00

  • LMI-Based Approaches for the Calibration of Continuous Glucose Measurement Sensors.

    abstract：:The problem of online calibration and recalibration of continuous glucose monitoring (CGM) devices is considered. Two different parametric relations between interstitial and blood glucose are investigated and constructive algorithms to adaptively estimate the parameters within those relations are proposed. One charact...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2014.2341703

    authors： Kirchsteiger H,Zaccarian L,Renard E,del Re L

    更新日期：2015-09-01 00:00:00

  • A Patient-Centric Health Information Exchange Framework Using Blockchain Technology.

    abstract：:Health Information Exchange (HIE) exhibits remarkable benefits for patient care such as improving healthcare quality and expediting coordinated care. The Office of the National Coordinator (ONC) for Health Information Technology is seeking patient-centric HIE designs that shift data ownership from providers to patient...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2020.2993072

    authors： Zhuang Y,Sheets LR,Chen YW,Shae ZY,Tsai JJP,Shyu CR

    更新日期：2020-08-01 00:00:00