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

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

abstract：:The seismocardiogram (SCG) measures the movement of the chest wall in response to underlying cardiovascular events. Though this signal contains clinically-relevant information, its morphology is both patient-specific and highly transient. In light of recent work suggesting the existence of population-level patterns in...

journal_title：IEEE journal of biomedical and health informatics

authors： Zia J,Kimball J,Hersek S,Inan OT

更新日期：2020-07-01 00:00:00

abstract：:Many clinical studies have revealed the high biological similarities existing among different skin pathological states. These similarities create difficulties in the efficient diagnosis of skin cancer, and encourage to study and design new intelligent clinical decision support systems. In this sense, gene expression a...

journal_title：IEEE journal of biomedical and health informatics

authors： Galvez JM,Castillo-Secilla D,Herrera LJ,Valenzuela O,Caba O,Prados JC,Ortuno FM,Rojas I

更新日期：2020-07-01 00:00:00

abstract：:High costs in health care and everlasting need for quality improvement in care delivery is increasingly becoming the motivating factor for novel predictive studies in health care informatics. Surgical services impact both the operating theatre costs and revenues and play critical role in care quality. Efficiency of su...

journal_title：IEEE journal of biomedical and health informatics

authors： Khaleghi T,Murat A,Arslanturk S,Davies E

更新日期：2020-07-01 00:00:00

abstract：OBJECTIVE:Left ventricular assist devices (LVADs) fail in up to 10% of patients due to the development of pump thrombosis. Remote monitoring of patients with LVADs can enable early detection and, subsequently, treatment and prevention of pump thrombosis. We assessed whether acoustical signals measured on the chest of p...

journal_title：IEEE journal of biomedical and health informatics

authors： Semiz B,Hersek S,Pouyan MB,Partida C,Blazquez-Arroyo L,Selby V,Wieselthaler G,Rehg JM,Klein L,Inan OT

更新日期：2020-07-01 00:00:00

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

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

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

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

更新日期：2020-06-01 00:00:00

abstract：:This paper presents a novel deep learning framework for the inter-patient electrocardiogram (ECG) heartbeat classification. A symbolization approach especially designed for ECG is introduced, which can jointly represent the morphology and rhythm of the heartbeat and alleviate the influence of inter-patient variation t...

journal_title：IEEE journal of biomedical and health informatics

authors： Niu J,Tang Y,Sun Z,Zhang W

更新日期：2020-05-01 00:00:00

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

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

abstract：:The Timed-Up-and-Go (TUG) test is a simple clinical tool commonly used to quickly assess the mobility of patients. Researchers have endeavored to automate the test using sensors or motion tracking systems to improve its accuracy and to extract more resolved information about its sub-phases. While some approaches have ...

journal_title：IEEE journal of biomedical and health informatics

authors： Savoie P,Cameron JAD,Kaye ME,Scheme EJ

更新日期：2020-04-01 00:00:00

abstract：:This study in preterm infants was designed to characterize the prognostic potential of several features of heart rate variability (HRV), respiration, and (infant) motion for the predictive monitoring of late-onset sepsis (LOS). In a neonatal intensive care setting, the cardiorespiratory waveforms of infants with blood...

journal_title：IEEE journal of biomedical and health informatics

authors： Joshi R,Kommers D,Oosterwijk L,Feijs L,van Pul C,Andriessen P

更新日期：2020-03-01 00:00:00

abstract：:Cataract is one of the most serious eye diseases leading to blindness. Early detection and treatment can reduce the rate of blindness in cataract patients. However, the professional knowledge of ophthalmologists is necessary for the clinical cataract detection. Therefore, the potential costs may make it difficult for ...

journal_title：IEEE journal of biomedical and health informatics

authors： Xu X,Zhang L,Li J,Guan Y,Zhang L

更新日期：2020-02-01 00:00:00

abstract：:For people with Type 1 diabetes (T1D), forecasting of blood glucose (BG) can be used to effectively avoid hyperglycemia, hypoglycemia and associated complications. The latest continuous glucose monitoring (CGM) technology allows people to observe glucose in real-time. However, an accurate glucose forecast remains a ch...

journal_title：IEEE journal of biomedical and health informatics

authors： Li K,Liu C,Zhu T,Herrero P,Georgiou P

更新日期：2020-02-01 00:00:00

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

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

更新日期：2020-02-01 00:00:00

abstract：:This paper proposes a novel hybrid network named multiple-feature-branch convolutional bidirectional recurrent neural network (MFB-CBRNN) for myocardial infarction (MI) detection using 12-lead ECGs. The model efficiently combines convolutional neural network-based and recurrent neural network-based structures. Each fe...

journal_title：IEEE journal of biomedical and health informatics

authors： Liu W,Wang F,Huang Q,Chang S,Wang H,He J

更新日期：2020-02-01 00:00:00

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

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

更新日期：2020-01-01 00:00:00

abstract：OBJECTIVE:Systolic time intervals, such as the pre-ejection period (PEP), are important parameters for assessing cardiac contractility that can be measured non-invasively using seismocardiography (SCG). Recent studies have shown that specific points on accelerometer- and gyroscope-based SCG signals can be used for PEP ...

journal_title：IEEE journal of biomedical and health informatics

authors： Shandhi MMH,Semiz B,Hersek S,Goller N,Ayazi F,Inan OT

更新日期：2019-11-01 00:00:00

abstract：:Mental illnesses are vast and cause a lot of individual and social discomfort, with significant healthcare costs associated in terms of diagnosis and treatment. They can be triggered by a number of factors including stress, fatigue or anxiety. The associated physiological, cardiac and autonomic changes can be assessed...

journal_title：IEEE journal of biomedical and health informatics

authors： Rosa BMG,Yang GZ

更新日期：2019-11-01 00:00:00

abstract：:We propose an extended model of cardiovascular regulation to assess heart rate variability in patients poisoned with organophosphate during their treatment with mechanical ventilation. The model was modified to fit a population of 21 patients poisoned with organophosphorus compounds and undergoing mechanical ventilati...

journal_title：IEEE journal of biomedical and health informatics

authors： Salazar MB,Mauricio Hernandez A,Mananas MA,Cortes Daza C

更新日期：2019-11-01 00:00:00

abstract：:Knowledge of the pathological instabilities in the breathing pattern can provide valuable insights into the cardiorespiratory status of the critically-ill infant as well as their maturation level. This paper is concerned with the measurement of respiratory rate in premature infants. We compare the rates estimated from...

journal_title：IEEE journal of biomedical and health informatics

authors： Jorge J,Villarroel M,Chaichulee S,Green G,McCormick K,Tarassenko L

更新日期：2019-11-01 00:00:00

abstract：:Automated tissue classification is an essential step for quantitative analysis and treatment of emphysema. Although many studies have been conducted in this area, there still remain two major challenges. First, different emphysematous tissue appears in different scales, which we call "inter-class variations." Second, ...

journal_title：IEEE journal of biomedical and health informatics

authors： Peng L,Lin L,Hu H,Li H,Chen Q,Ling X,Wang D,Han X,Iwamoto Y,Chen YW

更新日期：2019-11-01 00:00:00

abstract：BACKGROUND AND OBJECTIVE:New technology enables constant boost to the powers of mobile devices, which in the previous years have transformed from simple mobile phones to smart phones. Computational powers of these electronics enable actions that previously were possible only for computers. By the use of special applica...

journal_title：IEEE journal of biomedical and health informatics

authors： Lauraitis A,Maskeliunas R,Damasevicius R,Polap D,Wozniak M

更新日期：2019-09-01 00:00:00

abstract：:In this paper, an intuitionistic center-free fuzzy c-means clustering method (ICFFCM) is proposed for magnetic resonance (MR) brain image segmentation. First, in order to suppress the effect of noise in MR brain images, a pixel-to-pixel similarity with spatial information is defined. Then, for the purpose of handling ...

journal_title：IEEE journal of biomedical and health informatics

authors： Bai X,Zhang Y,Liu H,Wang Y

更新日期：2019-09-01 00:00:00

abstract：:Recognizing the factors that cause stress is a crucial step toward early detection of stressors. In this regard, several studies make an effort to recognize individuals' stress using an Electroencephalogram (EEG). However, current EEG-based stress recognition frameworks have several drawbacks. First, they are mostly d...

journal_title：IEEE journal of biomedical and health informatics

authors： Jebelli H,Mahdi Khalili M,Lee S

更新日期：2019-09-01 00:00:00

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

authors： Mukherjee P,Leroy G,Kauchak D

更新日期：2019-09-01 00:00:00

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

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

更新日期：2019-09-01 00:00:00

abstract：:In order to meet the health needs of the coming "age wave," technology needs to be designed that supports remote health monitoring and assessment. In this study we design clinician in the loop (CIL), a clinician-in-the-loop visual interface, that provides clinicians with patient behavior patterns, derived from smart h...

journal_title：IEEE journal of biomedical and health informatics

authors： Ghods A,Caffrey K,Lin B,Fraga K,Fritz R,Schmitter-Edgecombe M,Hundhausen C,Cook DJ

更新日期：2019-07-01 00:00:00

abstract：:Alzheimer's disease (AD) is a neurodegenerative and non-curable disease, with serious cognitive impairment, such as dementia. Clinically, it is critical to study the disease with multi-source data in order to capture a global picture of it. In this respect, an adaptive ensemble manifold learning (AEML) algorithm is pr...

journal_title：IEEE journal of biomedical and health informatics

authors： Lei B,Yang P,Zhuo Y,Zhou F,Ni D,Chen S,Xiao X,Wang T

更新日期：2019-07-01 00:00:00

abstract：:Multichannel image registration is an important challenge in medical image analysis. Multichannel images result from modalities such as dual-energy CT or multispectral microscopy. Besides, multichannel feature images can be derived from acquired images, for instance, by applying multiscale feature banks to the origina...

journal_title：IEEE journal of biomedical and health informatics

authors： Guyader JM,Huizinga W,Fortunati V,Poot DHJ,Veenland JF,Paulides MM,Niessen WJ,Klein S

更新日期：2019-05-01 00:00:00

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

authors： Chakravarty A,Sivaswamy J

更新日期：2019-05-01 00:00:00

abstract：:Attribute-based encryption has been a promising encryption technology to secure personal health records (PHRs) sharing in cloud computing. PHRs consist of the patient data often collected from various sources including hospitals and general practice centres. Different patients' access policies have a common access sub...

journal_title：IEEE journal of biomedical and health informatics

authors： Li W,Liu BM,Liu D,Liu RP,Wang P,Luo S,Ni W

更新日期：2019-05-01 00:00:00

abstract：:In recent years, there has been growing interest in the use of fitness trackers and smartphone applications for promoting physical activity. Many of these applications use accelerometers to estimate the level of activity that users engage in and provide visual reports of a user's step counts. When provided, most recom...

journal_title：IEEE journal of biomedical and health informatics

authors： Li Z,Das S,Codella J,Hao T,Lin K,Maduri C,Chen CH

更新日期：2019-05-01 00:00:00

abstract：:This paper presents a QuadTree-based melanoma detection system inspired by dermatologists' color perception. Clinical color assessment in dermoscopy images is challenging because of subtle differences in shades, location-dependent color information, poor color contrast, and wide variation among images of the same clas...

journal_title：IEEE journal of biomedical and health informatics

authors： Sabbaghi Mahmouei S,Aldeen M,Stoecker WV,Garnavi R

更新日期：2019-03-01 00:00:00

abstract：:The structure of the cumulative food intake (CFI) curve has been associated with obesity and eating disorders. Scales that record the weight loss of a plate from which a subject eats food are used for capturing this curve; however, their measurements are contaminated by additive noise and are distorted by certain type...

journal_title：IEEE journal of biomedical and health informatics

authors： Papapanagiotou V,Diou C,Ioakimidis I,Sodersten P,Delopoulos A

更新日期：2019-03-01 00:00:00

abstract：OBJECTIVE:This paper presents a methodology to automatically screen for sleep apnea based on the detection of apnea and hypopnea events in the blood oxygen saturation (SpO2) signal. METHODS:It starts by detecting all desaturations in the SpO2 signal. From these desaturations, a total of 143 time-domain features are ex...

journal_title：IEEE journal of biomedical and health informatics

authors： Deviaene M,Testelmans D,Buyse B,Borzee P,Van Huffel S,Varon C

更新日期：2019-03-01 00:00:00

abstract：:The role of sensing technologies, such as wearables, in delivering precision care is becoming widely acceptable. Given the very large quantities of sensor data that rapidly accumulate, there is a need to employ automated algorithms to label biosignal sensor data. In many real-life clinical applications, no such expert...

journal_title：IEEE journal of biomedical and health informatics

authors： Zhu T,Pimentel MAF,Clifford GD,Clifton DA

更新日期：2019-01-01 00:00:00

abstract：:Due to the importance of nuclear structure in cancer diagnosis, several predictive models have been described for diagnosing a wide variety of cancers based on nuclear morphology. In many computer-aided diagnosis (CAD) systems, cancer detection tasks can be generally formulated as set classification problems, which ca...

journal_title：IEEE journal of biomedical and health informatics

authors： Liu C,Huang Y,Ozolek JA,Hanna MG,Singh R,Rohde GK

更新日期：2019-01-01 00:00:00

abstract：:Fall detection is an important public healthcare problem. Timely detection could enable instant delivery of medical service to the injured. A popular nonintrusive solution for fall detection is based on videos obtained through ambient camera, and the corresponding methods usually require a large dataset to train a cla...

journal_title：IEEE journal of biomedical and health informatics

authors： Lu N,Wu Y,Feng L,Song J

更新日期：2019-01-01 00:00:00

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

authors： Burguera A

更新日期：2019-01-01 00:00:00

abstract：:This paper proposes an anaesthesia monitoring system that accurately measures the depth of anaesthesia through 40-Hz auditory steady-state response. With accurate and fast depth of anaesthesia measuring, the monitor can reduce the incidence of awareness during surgical operation. The proposed denoising method for extr...

journal_title：IEEE journal of biomedical and health informatics

authors： Haghighi SJ,Komeili M,Hatzinakos D,Beheiry HE

更新日期：2018-11-01 00:00:00