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 waves of a heartbeat. The framework is based on a numeric and analytic representation of applying the Wavelet Transform at arbitrary scale to the input model. For robustly estimating model parameters, it processes lines of zero-crossings in scale-space, showing high accuracy for various noise models in synthetic signals. An initial evaluation with electrocardiography signals revealed that our basic classifier for identifying the correct lines often fails, leading to false parameter estimates. In this work, we propose a general delineation method based on a solid mathematical framework that treats each heartbeat, wave and fiducial point in the same way, tailored only by intuitive parameters and not relying on any heuristically found decision rules. The steps include a novel line classifier based on pre-filtering using domain knowledge, followed by an exhaustive search among all possible combinations of zero-crossing lines and an error-measure quantifying their agreement with the model. The combination with highest agreement is processed by the parameter estimation framework, customized to the computation of all nine fiducial points. Evaluation using the expert-annotated QT database, shows high sensitivity (P: 99.91%, QRS: 99.92%, T: 99.89%) and mean errors below 1 ms for all onset and offset fiducial points. The proposed combination of line classification and parameter estimation is well suited for delineating electrocardiograms.
journal_name
IEEE J Biomed Health Informjournal_title
IEEE journal of biomedical and health informaticsauthors
Spicher N,Kukuk Mdoi
10.1109/JBHI.2019.2963786subject
Has Abstractpub_date
2020-08-01 00:00:00pages
2216-2229issue
8eissn
2168-2194issn
2168-2208journal_volume
24pub_type
杂志文章abstract::In the last decade, data mining techniques have been applied to sensor data in a wide range of application domains, such as healthcare monitoring systems, manufacturing processes, intrusion detection, database management, and others. Many data mining techniques are based on computing the similarity between two sensor ...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2015.2424711
更新日期:2016-05-01 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
pub_type: 杂志文章
doi:10.1109/JBHI.2019.2895775
更新日期:2019-11-01 00:00:00
abstract::We proposed and tested a method to estimate sleep period time (SPT) using electrodermal activity (EDA) signals. Eight healthy subjects and six obstructive sleep apnea patients participated in the experiments. Each subject's EDA signals were measured at the middle and ring fingers of the dominant hand during polysomnog...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2015.2490480
更新日期:2017-01-01 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
pub_type: 杂志文章
doi:10.1109/JBHI.2021.3051176
更新日期:2021-01-12 00:00:00
abstract::The development of the narrow-band imaging (NBI) has been increasing the interest of medical specialists in the study of laryngeal microvascular network to establish diagnosis without biopsy and pathological examination. A possible solution to this challenging problem is presented in this paper, which proposes an auto...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2014.2374975
更新日期:2016-01-01 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
pub_type: 杂志文章
doi:10.1109/JBHI.2020.3004663
更新日期:2020-11-01 00:00:00
abstract::Colonoscopy is the most popular screening tool for colorectal cancer. Recent studies reported that retroflexion during colonoscopy helped to detect more polyps. Retroflexion is an endoscope maneuver that enables visualization of internal mucosa along the shaft of the endoscope, enabling visualization of the mucosa are...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/TITB.2012.2226595
更新日期:2013-01-01 00:00:00
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 ...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2014.2313145
更新日期:2015-03-01 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
pub_type: 杂志文章
doi:10.1109/JBHI.2019.2891729
更新日期:2019-09-01 00:00:00
abstract::Glycan structures account for up to 35% of the mass of cardiac sodium ( Nav ) channels. To question whether and how reduced sialylation affects Nav activity and cardiac electrical signaling, we conducted a series of in vitro experiments on ventricular apex myocytes under two different glycosylation conditions, reduced...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2015.2458791
更新日期:2016-09-01 00:00:00
abstract::This paper describes an in-vehicle nonintrusive biopotential measurement system for driver health monitoring and fatigue detection. Previous research has found that the physiological signals including eye features, electrocardiography (ECG), electroencephalography (EEG) and their secondary parameters such as heart rat...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2014.2305403
更新日期:2014-11-01 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
pub_type: 杂志文章
doi:10.1109/JBHI.2020.3041669
更新日期:2020-12-01 00:00:00
abstract::The development of a system for the automatic, objective, and reliable detection of cough events is a need underlined by the medical literature for years. The benefit of such a tool is clear as it would allow the assessment of pathology severity in chronic cough diseases. Even though some approaches have recently repo...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/jbhi.2013.2239303
更新日期:2013-05-01 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
pub_type: 杂志文章
doi:10.1109/JBHI.2020.3024563
更新日期:2020-09-18 00:00:00
abstract::This work deals with the extraction of patient-specific coronary venous anatomy in preoperative multislice computed tomography (MSCT) volumes. A hybrid approach has been specifically designed for low-contrast vascular structure detection. It makes use of a minimum cost path technique with a Fast-Marching front propaga...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2013.2245420
更新日期:2013-03-01 00:00:00
abstract::This paper introduces a low-complexity algorithm for the extraction of the fiducial points from the Electrocardiogram (ECG). The application area we consider is that of remote cardiovascular monitoring, where continuous sensing and processing takes place in low-power, computationally constrained devices, thus the powe...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/TITB.2012.2231312
更新日期:2013-03-01 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
pub_type: 杂志文章
doi:10.1109/JBHI.2018.2872581
更新日期:2019-07-01 00:00:00
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
更新日期:2014-05-01 00:00:00
abstract::A novel meal-detection algorithm is developed based on continuous glucose measurements. Bergman's minimal model is modified and used in an unscented Kalman filter for state estimations. The estimated rate of appearance of glucose is used for meal detection. Data from nine subjects are used to assess the performance of...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2015.2446413
更新日期:2016-01-01 00:00:00
abstract::Intestinal contractions are one of the most important events to diagnose motility pathologies of the small intestine. When visualized by wireless capsule endoscopy (WCE), the sequence of frames that represents a contraction is characterized by a clear wrinkle structure in the central frames that corresponds to the fol...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2014.2304179
更新日期:2014-11-01 00:00:00
abstract::Seismocardiogram (SCG) is the low-frequency vibrations signal recorded from the chest using accelerometers. Peaks on dorsoventral and sternal SCG correspond to specific cardiac events. Prior research work has shown the potential of extracting such peaks for various types of monitoring and diagnosis applications. Howev...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2014.2360156
更新日期:2015-07-01 00:00:00
abstract::In this paper, we investigate the spectral efficiency of a communication link in a wireless body area network (WBAN) capable of harvesting energy from the environment. We consider two scenarios for the transmission which are single- and dual-hop and achieve the power management policy for each scenario. In the first s...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2016.2536642
更新日期:2017-05-01 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
pub_type: 杂志文章
doi:10.1109/JBHI.2020.2995139
更新日期:2020-11-01 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
pub_type: 杂志文章
doi:10.1109/JBHI.2020.2982103
更新日期:2020-10-01 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
pub_type: 杂志文章
doi:10.1109/JBHI.2019.2931842
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
pub_type: 杂志文章
doi:10.1109/JBHI.2019.2898558
更新日期:2020-01-01 00:00:00
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
更新日期:2015-11-01 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
pub_type: 杂志文章
doi:10.1109/JBHI.2020.2973285
更新日期:2020-09-01 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
pub_type: 杂志文章
doi:10.1109/JBHI.2020.3002805
更新日期:2020-06-16 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
pub_type: 杂志文章
doi:10.1109/JBHI.2019.2960862
更新日期:2020-08-01 00:00:00