abstract：:Accurately diagnosing and describing the severity of vitiligo is crucial for prognostication, treatment selection and comparison. Currently, disease severity scores require dermatologists to estimate percentage area of involvement, which is subjected to inter and intra-assessor variability. Previous studies focus on p...

journal_title：IEEE journal of biomedical and health informatics

authors： Li Y,Kong A,Thng S

更新日期：2021-01-29 00:00:00

abstract：:Owing to the high incidence rate and the severe impact of skin cancer, the precise diagnosis of malignant skin tumors is a significant goal, especially considering treatment is normally effective if the tumor is detected early. Limited published histopathological image sets and the lack of an intuitive correspondence ...

journal_title：IEEE journal of biomedical and health informatics

authors： Jiang S,Li H,Jin Z

更新日期：2021-01-15 00:00:00

abstract：:Remote photoplethysmography (rPPG) is a non-contact technique for measuring cardiac signals from facial videos. High-quality rPPG pulse signals are urgently demanded in many fields, such as health monitoring and emotion recognition. However, most of the existing rPPG methods can only be used to get average heart rate ...

journal_title：IEEE journal of biomedical and health informatics

authors： Song R,Chen H,Cheng J,Li C,Liu Y,Chen X

更新日期：2021-01-12 00:00:00

abstract：:The functional magnetic resonance imaging (fMRI) is a noninvasive technique for studying brain activity, such as brain network analysis, neural disease automated diagnosis and so on. However, many existing methods have some drawbacks, such as limitations of graph theory, lack of global topology characteristic, local s...

journal_title：IEEE journal of biomedical and health informatics

authors： Zhang Z,Ding J,Xu J,Tang J,Guo F

更新日期：2021-01-01 00:00:00

abstract：:Functional electrical stimulation (FES) provides an effective way for foot drop (FD) correction. To overcome the redundant and blind stimulation problems in the state-of-the-art methods, this study proposes a closed-loop scheme for an adaptive electromyography (EMG)-modulated stimulation profile. The developed method ...

journal_title：IEEE journal of biomedical and health informatics

authors： Li Y,Yang X,Zhou Y,Chen J,Du M,Yang Y

更新日期：2021-01-01 00:00:00

abstract：:Opioid misuse and overdose have become a public health hazard and caused drug addiction and death in the United States due to rapid increase in prescribed and non-prescribed opioid usage. The misuse and overdose are highly related to opioid over-prescription for chronic and acute pain treatment, where a one-size-fits-...

journal_title：IEEE journal of biomedical and health informatics

authors： Lee S,Wei S,White V,Bain PA,Baker C,Li J

更新日期：2021-01-01 00:00:00

abstract：:Adverse drug-drug interaction (ADDI) becomes a significant threat to public health. Despite the detection of ADDIs is experimentally implemented in the early development phase of drug design, many potential ADDIs are still clinically explored by accidents, leading to a large number of morbidity and mortality. Several ...

journal_title：IEEE journal of biomedical and health informatics

authors： Zhu J,Liu Y,Zhang Y,Li D

更新日期：2020-12-29 00:00:00

abstract：:With advances in digital stethoscopes, internet of things, signal processing and machine learning, chest sounds can be easily collected and transmitted to the cloud for remote monitoring and diagnosis. However, low quality of recordings complicates remote monitoring and diagnosis, particularly for neonatal care. This ...

journal_title：IEEE journal of biomedical and health informatics

authors： Grooby E,He J,Kiewsky J,Fattahi D,Zhou L,King A,Ramanathan A,Malhotra A,Dumont GA,Marzbanrad F

更新日期：2020-12-28 00:00:00

abstract：:Accurate detection of individual intake gestures is a key step towards automatic dietary monitoring. Both inertial sensor data of wrist movements and video data depicting the upper body have been used for this purpose. The most advanced approaches to date use a two-stage approach, in which (i) framelevel intake probab...

journal_title：IEEE journal of biomedical and health informatics

authors： Rouast PV,Adam M

更新日期：2020-12-23 00:00:00

abstract：:Diabetic retinopathy (DR) is a complication of diabetes that severely affects eyes. It can be graded into five levels of severity according to international protocol. However, optimizing a grading model to have strong generalizability requires a large amount of balanced training data, which is difficult to collect, pa...

journal_title：IEEE journal of biomedical and health informatics

authors： Zhou Y,Wang B,He X,Cui S,Shao L

更新日期：2020-12-17 00:00:00

abstract：:Optical coherence tomography angiography (OCTA) is an emerging non-invasive imaging technique for imaging the microvasculature of the eye based on phase variance or amplitude decorrelation derived from repeated OCT images of the same tissue area. Stripe noise occurs during the OCTA acquisition process due to the invol...

journal_title：IEEE journal of biomedical and health informatics

authors： Wu X,Gao D,Borroni D,Madhusudhan S,Jin Z,Zheng Y

更新日期：2020-12-01 00:00:00

abstract：:Vascular structures in the retina contain important information for the detection and analysis of ocular diseases, including age-related macular degeneration, diabetic retinopathy and glaucoma. Commonly used modalities in diagnosis of these diseases are fundus photography, scanning laser ophthalmoscope (SLO) and fluor...

journal_title：IEEE journal of biomedical and health informatics

authors： Rodrigues EO,Conci A,Liatsis P

更新日期：2020-12-01 00:00:00

abstract：:The direct analysis of 3D Optical Coherence Tomography (OCT) volumes enables deep learning models (DL) to learn spatial structural information and discover new bio-markers that are relevant to glaucoma. Downsampling 3D input volumes is the state-of-art solution to accommodate for the limited number of training volumes...

journal_title：IEEE journal of biomedical and health informatics

authors： George Y,Antony BJ,Ishikawa H,Wollstein G,Schuman JS,Garnavi R

更新日期：2020-12-01 00:00:00

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

authors： Meng Q,Hashimoto Y,Satoh S

更新日期：2020-12-01 00:00:00

abstract：:Dry eye syndrome is one of the most frequently reported eye diseases in ophthalmological practice. The diagnosis of this disease is a challenging task due to its multifactorial etiology. One of the most applied tests is the manual classification of tear film images captured with the Doane interferometer. The interfere...

journal_title：IEEE journal of biomedical and health informatics

authors： da Cruz LB,Souza JC,de Paiva AC,de Almeida JDS,Junior GB,Aires KRT,Silva AC,Gattass M

更新日期：2020-12-01 00:00:00

abstract：OBJECTIVE:Functional electrical stimulation (FES) is a common technique to elicit muscle contraction and help improve muscle strength. Traditional FES over the muscle belly typically only activates superficial muscle regions. In the case of hand FES, this prevents the activation of the deeper flexor muscles which contr...

journal_title：IEEE journal of biomedical and health informatics

authors： Shin H,Hawari MA,Hu X

更新日期：2020-12-01 00:00:00

abstract：:Intensive attention on personalised skin-health solutions is on account of incomparable love of skin and an urgent need for effective treatment. In the meanwhile, people have great expectations on how to utilise genetic knowledge of our body to provide a precise solution for different individuals, such as daily use of...

journal_title：IEEE journal of biomedical and health informatics

authors： Liu X,Chen CH,Karvela M,Toumazou C

更新日期：2020-11-01 00:00:00

abstract：:Depression is the leading cause of disability, often undiagnosed, and one of the most treatable mood disorders. As such, unobtrusively diagnosing depression is important. Many studies are starting to utilize machine learning for depression sensing from social media and Smartphone data to replace the survey instruments...

journal_title：IEEE journal of biomedical and health informatics

authors： Tlachac ML,Rundensteiner E

更新日期：2020-11-01 00:00:00

abstract：:The investigation of cell proliferation can provide useful insights for the comprehension of cancer progression, resistance to chemotherapy and relapse. To this aim, computational methods and experimental measurements based on in vivo label-retaining assays can be coupled to explore the dynamic behavior of tumoral cel...

journal_title：IEEE journal of biomedical and health informatics

authors： Nobile MS,Nisoli E,Vlachou T,Spolaor S,Cazzaniga P,Mauri G,Pelicci PG,Besozzi D

更新日期：2020-11-01 00:00:00

abstract：:Sepsis is defined by life-threatening organ dysfunction during infection and is one of the leading causes of critical illness. During sepsis, there is high risk that new-onset of atrial fibrillation (AF) can occur, which is associated with significant morbidity and mortality. As a result, computer aided automated and ...

journal_title：IEEE journal of biomedical and health informatics

authors： Bashar SK,Hossain MB,Ding E,Walkey AJ,McManus DD,Chon KH

更新日期：2020-11-01 00:00:00

abstract：:In personalized medicine, a challenging task is to identify the most effective treatment for a patient. In oncology, several computational models have been developed to predict the response of drugs to therapy. However, the performance of these models depends on multiple factors. This paper presents a new approach, ca...

journal_title：IEEE journal of biomedical and health informatics

authors： Daoud S,Mdhaffar A,Jmaiel M,Freisleben B

更新日期：2020-11-01 00:00:00

abstract：:Comorbidity is an important factor to consider when trying to predict the cost of treating asthma patients. When an asthmatic patient suffered from comorbidity, the cost of treating such a patient becomes dependent on the nature of the comorbidity. Therefore, lack of recognition of comorbidity on asthmatic patient pos...

journal_title：IEEE journal of biomedical and health informatics

authors： Luo L,Yu X,Yong Z,Li C,Gu Y

更新日期：2020-10-27 00:00:00

abstract：:Physicians increasingly depend on electronic health records (EHRs) to manage patients. However, many patient records have substantial missing values that pose a fundamental challenge to their clinical use. To address this prevailing challenge, we propose an unsupervised deep-learning method that can facilitate physici...

journal_title：IEEE journal of biomedical and health informatics

authors： Xu D,Sheng JQ,Hu PJ,Huang TS,Hsu CC

更新日期：2020-10-23 00:00:00

abstract：:Spectral Doppler measurements are an important part of the standard echocardiographic examination. These measurements give insight into myocardial motion and blood flow providing clinicians with parameters for diagnostic decision making. Many of these measurements are performed automatically with high accuracy, increa...

journal_title：IEEE journal of biomedical and health informatics

authors： Gilbert A,Holden M,Eikvil L,Rakhmail M,Babic A,Aase SA,Samset E,McLeod K

更新日期：2020-10-07 00:00:00

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

authors： Donahue S,Jin L,Hahn M

更新日期：2020-10-05 00:00:00

abstract：:Precise skin lesion classification is still challenging due to two problems, i.e., (1) inter-class similarity and intra-class variation of skin lesion images, and (2) the weak generalization ability of single Deep Convolutional Neural Network trained with limited data. Therefore, we propose a Global-Part Convolutional...

journal_title：IEEE journal of biomedical and health informatics

authors： Tang P,Liang Q,Yan X,Xiang S,Zhang D

更新日期：2020-10-01 00:00:00

abstract：:Sleep staging is to score the sleep state of a subject into different sleep stages such as Wake and Rapid Eye Movement (REM). It plays an indispensable role in the diagnosis and treatment of sleep disorders. As manual sleep staging through well-trained sleep experts is time consuming, tedious, and subjective, many aut...

journal_title：IEEE journal of biomedical and health informatics

authors： Qu W,Wang Z,Hong H,Chi Z,Feng DD,Grunstein R,Gordon C

更新日期：2020-10-01 00:00:00

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

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

abstract：:The fast evolving and deadly outbreak of coronavirus disease (COVID-19) has posed grand challenges to human society. To slow the spread of virus infections and better respond for community mitigation, by advancing capabilities of artificial intelligence (AI) and leveraging the large-scale and up-to-date data generated...

journal_title：IEEE journal of biomedical and health informatics

authors： Ye Y,Hou S,Fan Y,Zhang Y,Qian Y,Sun S,Peng Q,Ju M,Song W,Loparo K

更新日期：2020-10-01 00:00:00

abstract：:Coronavirus Disease 2019 (COVID-19) has rapidly spread worldwide since first reported. Timely diagnosis of COVID-19 is crucial both for disease control and patient care. Non-contrast thoracic computed tomography (CT) has been identified as an effective tool for the diagnosis, yet the disease outbreak has placed tremen...

journal_title：IEEE journal of biomedical and health informatics

authors： Li Y,Wei D,Chen J,Cao S,Zhou H,Zhu Y,Wu J,Lan L,Sun W,Qian T,Ma K,Xu H,Zheng Y

更新日期：2020-10-01 00:00:00

abstract：:Stroke is an acute cerebral vascular disease that is likely to cause long-term disabilities and death. Immediate emergency care with accurate diagnosis of computed tomographic (CT) images is crucial for dealing with a hemorrhagic stroke. However, due to the high variability of a stroke's location, contrast, and shape,...

journal_title：IEEE journal of biomedical and health informatics

authors： Li L,Wei M,Liu B,Atchaneeyasakul K,Zhou F,Pan Z,Kumar S,Zhang J,Pu Y,Liebeskind DS,Scalzo F

更新日期：2020-10-01 00:00:00

abstract：:Recently, the advances in passive brain-computer interfaces (BCIs) based on electroencephalogram (EEG) have shed light on real-world neuromonitoring technologies. However, human variability in the EEG activities hinders the development of practical applications of EEG-based BCI. To tackle this problem, many transfer-l...

journal_title：IEEE journal of biomedical and health informatics

authors： Jeng PY,Wei CS,Jung TP,Wang LC

更新日期：2020-09-22 00:00:00

abstract：:Accurate segmentation and segmentation of lesions in PET images provide computer-aided procedures and doctors with parameters for tumour diagnosis, staging and prognosis. Currently, PET segmentation and lesion partitioning are manually measured by radiologists, which is time consuming and laborious, and tedious manual...

journal_title：IEEE journal of biomedical and health informatics

authors： Cui R,Chen Z,Wu J,Tan Y,Yu G

更新日期：2020-09-18 00:00:00

abstract：:Parkinson's Disease (PD) is a slowly evolving neurological disease that affects about [Formula: see text] of the population above 60 years old, causing symptoms that are subtle at first, but whose intensity increases as the disease progresses. Automated detection of these symptoms could offer clues as to the early ons...

journal_title：IEEE journal of biomedical and health informatics

authors： Papadopoulos A,Kyritsis K,Klingelhoefer L,Bostanjopoulou S,Chaudhuri KR,Delopoulos A

更新日期：2020-09-01 00:00:00

abstract：:In data-driven deep learning-based modeling, data quality may substantially influence classification performance. Correct data labeling for deep learning modeling is critical. In weakly-supervised learning, a challenge lies in dealing with potentially inaccurate or mislabeled training data. In this paper, we proposed ...

journal_title：IEEE journal of biomedical and health informatics

authors： Hao D,Zhang L,Sumkin J,Mohamed A,Wu S

更新日期：2020-09-01 00:00:00

abstract：:Accurate prediction of a patient's length-of-stay (LOS) in the hospital enables an efficient and effective management of hospital beds. This paper studies LOS prediction for pediatric patients with respiratory diseases using three decision tree methods: Bagging, Adaboost, and Random forest. A data set of 11,206 record...

journal_title：IEEE journal of biomedical and health informatics

authors： Ma F,Yu L,Ye L,Yao DD,Zhuang W

更新日期：2020-09-01 00:00:00

abstract：:Accurate lymphoma segmentation on Positron Emission Tomography (PET) images is of great importance for medical diagnoses, such as for distinguishing benign and malignant. To this end, this paper proposes an adaptive weighting and scalable distance regularized level set evolution (AW-SDRLSE) method for delineating lymp...

journal_title：IEEE journal of biomedical and health informatics

authors： Li S,Jiang H,Li H,Yao YD

更新日期：2020-08-25 00:00:00

abstract：OBJECTIVE:Bi-Frequency Symmetry Difference (BFSD)-EIT can detect, localize and identify unilateral perturbations in symmetric scenes. Here, we test the viability and robustness of BFSD-EIT in stroke diagnosis. METHODS:A realistic 4-layer Finite Element Method (FEM) head model with and without bleed and clot lesions is...

journal_title：IEEE journal of biomedical and health informatics

authors： McDermott B,O'Halloran M,Avery J,Porter E

更新日期：2020-08-01 00:00:00

abstract：:The continuing interest in unobtrusive electrocardiography requires the development of algorithms, compensating for an increased number of artifacts. In previous work, we proposed a framework for robust parameter estimation of signals following a piecewise Gaussian derivative model, well suited for describing all wave...

journal_title：IEEE journal of biomedical and health informatics

authors： Spicher N,Kukuk M

更新日期：2020-08-01 00:00:00

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

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

更新日期：2020-08-01 00:00:00