当前位置： SCI文献检索 > IEEE Journal of Biomedical and Health Informatics期刊下所有文献 > A Multidimensional Time-Series Similarity Measure With Applications to Eldercare Monitoring.

A Multidimensional Time-Series Similarity Measure With Applications to Eldercare Monitoring.

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 data patterns. A variety of representations and similarity measures for multiattribute time series have been proposed in the literature. In this paper, we describe a novel method for computing the similarity of two multiattribute time series based on a temporal version of Smith-Waterman (SW), a well-known bioinformatics algorithm. We then apply our method to sensor data from an eldercare application for early illness detection. Our method mitigates difficulties related to data uncertainty and aggregation that often arise when processing sensor data. The experiments take place at an aging-in-place facility, TigerPlace, located in Columbia, MO, USA. To validate our method, we used data from nonwearable sensor networks placed in TigerPlace apartments, combined with information from an electronic health record. We provide a set of experiments that investigate temporal version of SW properties, together with experiments on TigerPlace datasets. On a pilot sensor dataset from nine residents, with a total of 1902 days and around 2.1 million sensor hits of collected data, we obtained an average abnormal events prediction F-measure of 0.75.

journal_name

IEEE J Biomed Health Inform

journal_title

IEEE journal of biomedical and health informatics

authors

Hajihashemi Z,Popescu M

doi

10.1109/JBHI.2015.2424711

subject

Has Abstract

pub_date

2016-05-01 00:00:00

pages

953-962

issue

3

eissn

2168-2194

issn

2168-2208

journal_volume

20

pub_type

杂志文章

相关文献

IEEE Journal of Biomedical and Health Informatics文献大全
  • A study on quality assessment for medical ultrasound video compressed via HEVC.

    abstract：:The quality of experience and quality of service provided in the healthcare sector are critical in evaluating the reliable delivery of the healthcare services provided. Medical images and videos play a major role in modern e-health services and have become an integral part of medical data communication systems. The qu...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2014.2326891

    authors： Razaak M,Martini MG,Savino K

    更新日期：2014-09-01 00:00:00

  • A Smartphone Application for Automated Decision Support in Cognitive Task Based Evaluation of Central Nervous System Motor Disorders.

    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

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

    更新日期：2019-09-01 00:00:00

  • Modeling Consistent Dynamics of Cardiogenic Vibrations in Low-Dimensional Subspace.

    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

    pub_type： 杂志文章

    doi：10.1109/JBHI.2020.2980979

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

    更新日期：2020-07-01 00:00:00

  • A Deep Learning Based Unsupervised Method to Impute Missing Values in Patient Records for Improved Management of Cardiovascular Patients.

    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

    pub_type： 杂志文章

    doi：10.1109/JBHI.2020.3033323

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

    更新日期：2020-10-23 00:00:00

  • SetSVM: An Approach to Set Classification in Nuclei-Based Cancer Detection.

    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

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

    更新日期：2019-01-01 00:00:00

  • Predicting Mood Changes in Bipolar Disorder through Heartbeat Nonlinear Dynamics.

    abstract：:Bipolar Disorder (BD) is characterized by an alternation of mood states from depression to (hypo)mania. Mixed states, i.e., a combination of depression and mania symptoms at the same time, can also be present. The diagnosis of this disorder in the current clinical practice is based only on subjective interviews and qu...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2016.2554546

    authors： Valenza G,Nardelli M,Lanata' A,Gentili C,Bertschy G,Kosel M,Scilingo EP

    更新日期：2016-07-01 00:00:00

  • A Hybrid Global-Local Representation CNN Model for Automatic Cataract Grading.

    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

    pub_type： 杂志文章

    doi：10.1109/JBHI.2019.2914690

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

    更新日期：2020-02-01 00:00:00

  • A method of detecting heartbeat locations in the ballistocardiographic signal from the fiber-optic vital signs sensor.

    abstract：:We present a flexible, easy-to-expand digital signal processing method for detecting heart rate (HR) for cardiac vibration signals of fiber Bragg grating (FBG) sensor. The FBG-based method of measuring HR is possible to use during the magnetic resonance imaging procedure, which is its unique advantage. Our goal was to...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2015.2392796

    authors： Krej M,Dziuda L,Skibniewski FW

    更新日期：2015-07-01 00:00:00

  • Multiple-Time-Series Clinical Data Processing for Classification With Merging Algorithm and Statistical Measures.

    abstract：:A description of patient conditions should consist of the changes in and combination of clinical measures. Traditional data-processing method and classification algorithms might cause clinical information to disappear and reduce prediction performance. To improve the accuracy of clinical-outcome prediction by using mu...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2014.2357719

    authors： Tseng YJ,Ping XO,Liang JD,Yang PM,Huang GT,Lai F

    更新日期：2015-05-01 00:00:00

  • Tempo-Spatial Compressed Sensing of Organ-on-a-Chip for Pervasive Health.

    abstract：:As a micro-engineered biomimetic system to replicate key functions of living organs, organ-on-a-chip (OC) technology provides a high-throughput model for investigating complex cell interactions with both high temporal and spatial resolutions in biological studies. Typically, microscopy and high-speed video cameras are...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2017.2775559

    authors： Song C,Wang A,Lin F,Asmani M,Zhao R,Jin Z,Xiao J,Xu W

    更新日期：2018-03-01 00:00:00

  • Joint Feature Extraction and Classifier Design for ECG-Based Biometric Recognition.

    abstract：:Traditional biometric recognition systems often utilize physiological traits such as fingerprint, face, iris, etc. Recent years have seen a growing interest in electrocardiogram (ECG)-based biometric recognition techniques, especially in the field of clinical medicine. In existing ECG-based biometric recognition metho...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2015.2402199

    authors： Gutta S,Cheng Q

    更新日期：2016-03-01 00:00:00

  • User-Intended Doppler Measurement Type Prediction Combining CNNs With Smart Post-Processing.

    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

    pub_type： 杂志文章

    doi：10.1109/JBHI.2020.3029392

    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

  • Cluster-based analysis for personalized stress evaluation using physiological signals.

    abstract：:Technology development in wearable sensors and biosignal processing has made it possible to detect human stress from the physiological features. However, the intersubject difference in stress responses presents a major challenge for reliable and accurate stress estimation. This research proposes a novel cluster-based ...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章,随机对照试验

    doi：10.1109/JBHI.2014.2311044

    authors： Xu Q,Nwe TL,Guan C

    更新日期：2015-01-01 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

  • Delta Features From Ambient Sensor Data are Good Predictors of Change in Functional Health.

    abstract：:Sensor systems can be deployed in the homes of older adults living alone for functional health assessments. Their information is very useful for health care specialists. The problem lies in developing person independent models while facing a large variability in behavior. We address this problem by, first, proposing a...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2016.2593980

    authors： Robben S,Englebienne G,Krose B

    更新日期：2017-07-01 00:00:00

  • Detecting Parkinsonian Tremor From IMU Data Collected in-the-Wild Using Deep Multiple-Instance Learning.

    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

    pub_type： 杂志文章

    doi：10.1109/JBHI.2019.2961748

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

    更新日期：2020-09-01 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

  • Nonnegative matrix factorization for the identification of EMG finger movements: evaluation using matrix analysis.

    abstract：:Surface electromyography (sEMG) is widely used in evaluating the functional status of the hand to assist in hand gesture recognition, prosthetics and rehabilitation applications. The sEMG is a noninvasive, easy to record signal of superficial muscles from the skin surface. Considering the nonstationary characteristics...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2014.2326660

    authors： Naik GR,Nguyen HT

    更新日期：2015-03-01 00:00:00

  • Low-Dimensional Subject Representation-based Transfer Learning in EEG Decoding.

    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

    pub_type： 杂志文章

    doi：10.1109/JBHI.2020.3025865

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

    更新日期：2020-09-22 00:00:00

  • Efficient and Effective Training of COVID-19 Classification Networks With Self-Supervised Dual-Track Learning to Rank.

    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

    pub_type： 杂志文章

    doi：10.1109/JBHI.2020.3018181

    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

  • MFB-CBRNN: A Hybrid Network for MI Detection Using 12-Lead ECGs.

    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

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

    更新日期：2020-02-01 00:00:00

  • Transfer Learning for Multicenter Classification of Chronic Obstructive Pulmonary Disease.

    abstract：:Chronic obstructive pulmonary disease (COPD) is a lung disease that can be quantified using chest computed tomography scans. Recent studies have shown that COPD can be automatically diagnosed using weakly supervised learning of intensity and texture distributions. However, up till now such classifiers have only been e...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2017.2769800

    authors： Cheplygina V,Pena IP,Pedersen JH,Lynch DA,Sorensen L,de Bruijne M

    更新日期：2018-09-01 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

  • Automatic Analysis of Food Intake and Meal Microstructure Based on Continuous Weight Measurements.

    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

    pub_type： 杂志文章

    doi：10.1109/JBHI.2018.2812243

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

    更新日期：2019-03-01 00:00:00

  • Wireless gigabit data telemetry for large-scale neural recording.

    abstract：:Implantable wireless neural recording from a large ensemble of simultaneously acting neurons is a critical component to thoroughly investigate neural interactions and brain dynamics from freely moving animals. Recent researches have shown the feasibility of simultaneously recording from hundreds of neurons and suggest...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2015.2416202

    authors： Kuan YC,Lo YK,Kim Y,Chang MC,Liu W

    更新日期：2015-05-01 00:00:00

  • Atrial Fibrillation Detection via Accelerometer and Gyroscope of a Smartphone.

    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

    authors： Lahdenoja O,Hurnanen T,Iftikhar Z,Nieminen S,Knuutila T,Saraste A,Kiviniemi T,Vasankari T,Airaksinen J,Pankaala M,Koivisto T

    更新日期：2018-01-01 00:00:00

  • An Attribute Supervised Probabilistic Dependent Matrix Tri-Factorization Model for the Prediction of Adverse Drug-Drug Interaction.

    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

    pub_type： 杂志文章

    doi：10.1109/JBHI.2020.3048059

    authors： Zhu J,Liu Y,Zhang Y,Li D

    更新日期：2020-12-29 00:00:00

  • Bi-Frequency Symmetry Difference EIT-Feasibility and Limitations of Application to Stroke Diagnosis.

    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

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

    更新日期：2020-08-01 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

  • Blood Vessel Segmentation of Fundus Images by Major Vessel Extraction and Subimage Classification.

    abstract：:This paper presents a novel three-stage blood vessel segmentation algorithm using fundus photographs. In the first stage, the green plane of a fundus image is preprocessed to extract a binary image after high-pass filtering, and another binary image from the morphologically reconstructed enhanced image for the vessel ...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2014.2335617

    authors： Roychowdhury S,Koozekanani DD,Parhi KK

    更新日期：2015-05-01 00:00:00