Adaptive Heartbeat Modeling for Beat-to-Beat Heart Rate Measurement in Ballistocardiograms.

Abstract:

:We present a method for measuring beat-to-beat heart rate from ballistocardiograms acquired with force sensors. First, a model for the heartbeat shape is adaptively inferred from the signal using hierarchical clustering. Then, beat-to-beat intervals are detected by finding positions where the heartbeat shape best fits the signal. The method was validated with overnight recordings from 46 subjects in varying setups (sleep clinic, home, single bed, double bed, two sensor types). The mean beat-to-beat interval error was 13 ms and on an average 54% of the beat-to-beat intervals were detected. The method is part of a home-use e-health system for an unobtrusive sleep measurement.

authors

Paalasmaa J,Toivonen H,Partinen M

doi

10.1109/JBHI.2014.2314144

subject

Has Abstract

pub_date

2015-11-01 00:00:00

pages

1945-52

issue

6

eissn

2168-2194

issn

2168-2208

journal_volume

19

pub_type

杂志文章
  • 2D/3D-Display Auto-Adjustment Switch System.

    abstract::Recently, 2-D/3-D switchable displays have become the mainstream in 3-D display technologies, and people can now watch 3-D movies with a naked 2-D/3-D switchable display at home. However, some studies have indicated that people might encounter visual fatigue after enjoying a 3-D film in the theater. Although 2-D/3-D s...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2017.2700794

    authors: Lin BS,Wu PJ,Chen CY

    更新日期:2018-05-01 00:00:00

  • User independent estimations of gait events with minimal sensor data.

    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

    pub_type: 杂志文章

    doi:10.1109/JBHI.2020.3028827

    authors: Donahue S,Jin L,Hahn M

    更新日期:2020-10-05 00:00:00

  • Synchronization and Registration of Cine Magnetic Resonance and Dynamic Computed Tomography Images of the Heart.

    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

    authors: Betancur J,Simon A,Langella B,Leclercq C,Hernandez A,Garreau M

    更新日期:2016-09-01 00:00:00

  • Self-Powered Multiparameter Health Sensor.

    abstract::Wearable health sensors are about to change our health system. While several technological improvements have been presented to enhance performance and energy-efficiency, battery runtime is still a critical concern for practical use of wearable biomedical sensor systems. The runtime limitation is directly related to th...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2017.2708041

    authors: Tobola A,Leutheuser H,Pollak M,Spies P,Hofmann C,Weigand C,Eskofier BM,Fischer G

    更新日期:2018-01-01 00:00:00

  • Atrial Fibrillation Detection During Sepsis: Study on MIMIC III ICU Data.

    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

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

    更新日期:2020-11-01 00:00:00

  • Understanding the Physiological Significance of Four Inertial Gait Features in Multiple Sclerosis.

    abstract::Gait impairment in multiple sclerosis (MS) can result from muscle weakness, physical fatigue, lack of coordination, and other symptoms. Walking speed, as measured by a number of clinician-administered walking tests, is the primary measure of gait impairment used by clinical researchers, but inertial gait features from...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2017.2773629

    authors: Dandu SR,Engelhard MM,Qureshi A,Gong J,Lach JC,Brandt-Pearce M,Goldman MD

    更新日期:2018-01-01 00:00:00

  • Modeling of Heart Rate Variability and Respiratory Muscle Activity in Organophosphate Poisoned Patients.

    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

    pub_type: 杂志文章

    doi:10.1109/JBHI.2019.2894758

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

    更新日期:2019-11-01 00:00:00

  • α-Satellite: An AI-Driven System and Benchmark Datasets for Dynamic COVID-19 Risk Assessment in the United States.

    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

    pub_type: 杂志文章

    doi:10.1109/JBHI.2020.3009314

    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

  • Deep Learning for Health Informatics.

    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

    authors: Ravi D,Wong C,Deligianni F,Berthelot M,Andreu-Perez J,Lo B,Yang GZ

    更新日期:2017-01-01 00:00:00

  • Red blood cell cluster separation from digital images for use in sickle cell disease.

    abstract::The study of cell morphology is an important aspect of the diagnosis of some diseases, such as sickle cell disease, because red blood cell deformation is caused by these diseases. Due to the elongated shape of the erythrocyte, ellipse adjustment and concave point detection are applied widely to images of peripheral bl...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2014.2356402

    authors: González-Hidalgo M,Guerrero-Peña FA,Herold-García S,Jaume-I-Capó A,Marrero-Fernández PD

    更新日期:2015-07-01 00:00:00

  • Neonatal Heart and Lung Sound Quality Assessment for Robust Heart and Breathing Rate Estimation for telehealth Applications.

    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

    pub_type: 杂志文章

    doi:10.1109/JBHI.2020.3047602

    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

  • Near-realistic mobile exergames with wireless wearable sensors.

    abstract::Exergaming is expanding as an option for sedentary behavior in childhood/adult obesity and for extra exercise for gamers. This paper presents the development process for a mobile active sports exergame with near-realistic motions through the usage of body-wearable sensors. The process begins by collecting a dataset sp...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2013.2293674

    authors: Mortazavi B,Nyamathi S,Lee SI,Wilkerson T,Ghasemzadeh H,Sarrafzadeh M

    更新日期:2014-03-01 00:00:00

  • Unsupervised eye blink artifact denoising of EEG data with modified multiscale sample entropy, Kurtosis, and wavelet-ICA.

    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

    authors: Mahajan R,Morshed BI

    更新日期:2015-01-01 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

  • Toward a Wirelessly Powered On-Lens Intraocular Pressure Monitoring System.

    abstract::This paper presents a wireless on-lens intraocular pressure monitoring system, comprising a capacitance-to-digital converter and a wirelessly powered radio-frequency identification (RFID)-compatible communication system, for sensor control and data communication. The capacitive sensor was embedded on a soft contact le...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2016.2594058

    authors: Chiou JC,Hsu SH,Liao YT,Huang YC,Yeh GT,Kuei CK,Dai KS

    更新日期:2016-09-01 00:00:00

  • Retinal area detector from scanning laser ophthalmoscope (SLO) images for diagnosing retinal diseases.

    abstract::Scanning laser ophthalmoscopes (SLOs) can be used for early detection of retinal diseases. With the advent of latest screening technology, the advantage of using SLO is its wide field of view, which can image a large part of the retina for better diagnosis of the retinal diseases. On the other hand, during the imaging...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2014.2352271

    authors: Haleem MS,Han L,van Hemert J,Li B,Fleming A

    更新日期:2015-07-01 00:00:00

  • GP-CNN-DTEL: Global-Part CNN Model With Data-Transformed Ensemble Learning for Skin Lesion Classification.

    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

    pub_type: 杂志文章

    doi:10.1109/JBHI.2020.2977013

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

    更新日期:2020-10-01 00:00:00

  • MRI-based segmentation of pubic bone for evaluation of pelvic organ prolapse.

    abstract::Pelvic organ prolapse (POP) is a major women's health problem. Its diagnosis through magnetic resonance imaging (MRI) has become popular due to current inaccuracies of clinical examination. The diagnosis of POP on MRI consists of identifying reference points on pelvic bone structures for measurement and evaluation. Ho...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2014.2302437

    authors: Onal S,Lai-Yuen SK,Bao P,Weitzenfeld A,Hart S

    更新日期:2014-07-01 00:00:00

  • An Adaptive, Data-Driven Personalized Advisor for Increasing Physical Activity.

    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

    pub_type: 杂志文章

    doi:10.1109/JBHI.2018.2879805

    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

  • Delineation of Electrocardiograms Using Multiscale Parameter Estimation.

    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

    pub_type: 杂志文章

    doi:10.1109/JBHI.2019.2963786

    authors: Spicher N,Kukuk M

    更新日期:2020-08-01 00:00:00

  • 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 ...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2015.2424711

    authors: Hajihashemi Z,Popescu M

    更新日期:2016-05-01 00:00:00

  • EMG-Torque Relation in Chronic Stroke: A Novel EMG Complexity Representation With a Linear Electrode Array.

    abstract::This study examines the electromyogram (EMG)-torque relation for chronic stroke survivors using a novel EMG complexity representation. Ten stroke subjects performed a series of submaximal isometric elbow flexion tasks using their affected and contralateral arms, respectively, while a 20-channel linear electrode array ...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2016.2626399

    authors: Zhang X,Wang D,Yu Z,Chen X,Li S,Zhou P

    更新日期:2017-11-01 00:00:00

  • A Flexible Wearable Device for Measurement of Cardiac, Electrodermal, and Motion Parameters in Mental Healthcare Applications.

    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

    pub_type: 杂志文章

    doi:10.1109/JBHI.2019.2938311

    authors: Rosa BMG,Yang GZ

    更新日期:2019-11-01 00:00:00

  • Statistical Metamodeling and Sequential Design of Computer Experiments to Model Glyco-Altered Gating of Sodium Channels in Cardiac Myocytes.

    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

    authors: Du D,Yang H,Ednie AR,Bennett ES

    更新日期:2016-09-01 00:00:00

  • Determining the semantic similarities among Gene Ontology terms.

    abstract::We present in this paper novel techniques that determine the semantic relationships among GeneOntology (GO) terms. We implemented these techniques in a prototype system called GoSE, which resides between user application and GO database. Given a set S of GO terms, GoSE would return another set S' of GO terms, where ea...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/jbhi.2013.2248742

    authors: Taha K

    更新日期:2013-05-01 00:00:00

  • Automatic Screening of Sleep Apnea Patients Based on the SpO2 Signal.

    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

    pub_type: 杂志文章

    doi:10.1109/JBHI.2018.2817368

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

    更新日期:2019-03-01 00:00:00

  • Unified Fine-Grained Access Control for Personal Health Records in Cloud Computing.

    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

    pub_type: 杂志文章

    doi:10.1109/JBHI.2018.2850304

    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

  • Deep Learning for Hemorrhagic Lesion Detection and Segmentation on Brain CT Images.

    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

    pub_type: 杂志文章

    doi:10.1109/JBHI.2020.3028243

    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

  • A survey on ambient-assisted living tools for older adults.

    abstract::In recent years, we have witnessed a rapid surge in assisted living technologies due to a rapidly aging society. The aging population, the increasing cost of formal health care, the caregiver burden, and the importance that the individuals place on living independently, all motivate development of innovative-assisted ...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/jbhi.2012.2234129

    authors: Rashidi P,Mihailidis A

    更新日期:2013-05-01 00:00:00

  • Arrhythmia discrimination using a smart phone.

    abstract::We hypothesize that our smartphone-based arrhythmia discrimination algorithm with data acquisition approach reliably differentiates between normal sinus rhythm (NSR), atrial fibrillation (AF), premature ventricular contractions (PVCs) and premature atrial contraction (PACs) in a diverse group of patients having these ...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2015.2418195

    authors: Chong JW,Esa N,McManus DD,Chon KH

    更新日期:2015-05-01 00:00:00