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-culture positive LOS were analyzed to characterize the prognostic potential of 22 features for discriminating control from sepsis-state, using the Naïve Bayes algorithm. Historical data of the subjects acquired from a period sufficiently before the clinical suspicion of LOS was used as control state, whereas data from the 24 h preceding the clinical suspicion of LOS were used as sepsis state (test data). The overall prognostic potential of all features was quantified at three-hourly intervals for the period corresponding to test data by calculating the area under the receiver operating characteristics curve. For the 49 infants studied, features of HRV, respiration, and movement showed characteristic changes in the hours leading up to the clinical suspicion of sepsis, namely, an increased propensity toward pathological heart rate decelerations, increased respiratory instability, and a decrease in spontaneous infant activity, i.e., lethargy. While features characterizing HRV and respiration can be used to probe the state of the autonomic nervous system, those characterizing movement probe the state of the motor system-dysregulation of both reflects an increased likelihood of sepsis. By using readily interpretable features derived from cardiorespiratory monitoring, opportunities for pre-emptively identifying and treating LOS can be developed.
journal_name
IEEE J Biomed Health Informjournal_title
IEEE journal of biomedical and health informaticsauthors
Joshi R,Kommers D,Oosterwijk L,Feijs L,van Pul C,Andriessen Pdoi
10.1109/JBHI.2019.2927463subject
Has Abstractpub_date
2020-03-01 00:00:00pages
681-692issue
3eissn
2168-2194issn
2168-2208journal_volume
24pub_type
杂志文章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
pub_type: 杂志文章
doi:10.1109/JBHI.2019.2934342
更新日期:2020-04-01 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
pub_type: 杂志文章
doi:10.1109/JBHI.2019.2956973
更新日期:2020-07-01 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::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
更新日期:2016-05-01 00:00:00
abstract::The recorded electroencephalography (EEG) signals are usually contaminated by electrooculography (EOG) artifacts. In this paper, by using independent component analysis (ICA) and multivariate empirical mode decomposition (MEMD), the ICA-based MEMD method was proposed to remove EOG artifacts (EOAs) from multichannel EE...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2015.2450196
更新日期:2016-09-01 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
pub_type: 杂志文章
doi:10.1109/JBHI.2020.2992973
更新日期:2021-01-01 00:00:00
abstract::This paper proposes a new blind end-member and abundance extraction (BEAE) method for multispectral fluorescence lifetime imaging microscopy (m-FLIM) data. The chemometrical analysis relies on an iterative estimation of the fluorescence decay end-members and their abundances. The proposed method is based on a linear m...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2013.2279335
更新日期:2014-03-01 00:00:00
abstract::Brain activities commonly recorded using the electroencephalogram (EEG) are contaminated with ocular artifacts. These activities can be suppressed using a robust independent component analysis (ICA) tool, but its efficiency relies on manual intervention to accurately identify the independent artifactual components. In...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2014.2333010
更新日期:2015-01-01 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
pub_type: 杂志文章
doi:10.1109/JBHI.2018.2792404
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
pub_type: 杂志文章
doi:10.1109/JBHI.2018.2803793
更新日期:2019-01-01 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::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
更新日期:2020-02-01 00:00:00
abstract::We present a smartphone-only solution for the detection of atrial fibrillation (AFib), which utilizes the built-in accelerometer and gyroscope sensors [inertial measurement unit, (IMU)] in the detection. Depending on the patient's situation, it is possible to use the developed smartphone application either regularly o...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2017.2688473
更新日期:2018-01-01 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
pub_type: 杂志文章
doi:10.1109/JBHI.2020.2993072
更新日期:2020-08-01 00:00:00
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
pub_type: 杂志文章
doi:10.1109/JBHI.2021.3055213
更新日期:2021-01-29 00:00:00
abstract::Applications of genomic studies are spreading rapidly in many domains of science and technology such as healthcare, biomedical research, direct-to-consumer services, and legal and forensic. However, there are a number of obstacles that make it hard to access and process a big genomic database for these applications. F...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2016.2625299
更新日期:2017-09-01 00:00:00
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
更新日期:2014-01-01 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
pub_type: 杂志文章
doi:10.1109/JBHI.2020.2983456
更新日期:2021-01-01 00:00:00
abstract::With the passage of recent federal legislation, many medical institutions are now responsible for reaching target hospital readmission rates. Chronic diseases account for many hospital readmissions and chronic obstructive pulmonary disease has been recently added to the list of diseases for which the United States gov...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2017.2684121
更新日期:2018-03-01 00:00:00
abstract::Core body temperature is a reliable marker for circadian rhythm. As characteristics of the circadian body temperature rhythm change during diverse health problems, such as sleep disorder and depression, body temperature monitoring is often used in clinical diagnosis and treatment. However, the use of current thermomet...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2016.2529655
更新日期:2017-03-01 00:00:00
abstract::The synchronization and registration of dynamic computed tomography (CT) and magnetic resonance images (MRI) of the heart is required to perform a combined analysis of their complementary information. We propose a novel method that synchronizes and registers intrapatient dynamic CT and cine-MRI short axis view (SAX). ...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2015.2453639
更新日期:2016-09-01 00:00:00
abstract::Loneliness is a common condition in elderly associated with severe health consequences including increased mortality, decreased cognitive function, and poor quality of life. Identifying and assisting lonely individuals is therefore increasingly important-especially in the home setting-as the very nature of loneliness ...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2013.2294276
更新日期:2014-09-01 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
pub_type: 杂志文章
doi:10.1109/JBHI.2020.2966178
更新日期:2020-07-01 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::With a massive influx of multimodality data, the role of data analytics in health informatics has grown rapidly in the last decade. This has also prompted increasing interests in the generation of analytical, data driven models based on machine learning in health informatics. Deep learning, a technique with its founda...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章,评审
doi:10.1109/JBHI.2016.2636665
更新日期:2017-01-01 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
pub_type: 杂志文章
doi:10.1109/JBHI.2019.2910082
更新日期:2020-02-01 00:00:00
abstract:PURPOSE:Women with BRCA1/2 mutations have higher risk for breast and ovarian cancers. Available intervention actions include prophylactic surgeries and breast screening, which vary significantly in cost, cancer prevention, and in resulting death from other causes. We present a model designed to yield optimal interventi...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2014.2319246
更新日期:2015-03-01 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
pub_type: 杂志文章
doi:10.1109/JBHI.2020.3046613
更新日期:2020-12-23 00:00:00
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::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