当前位置： SCI文献检索 > IEEE Journal of Biomedical and Health Informatics期刊下所有文献 > Enhancing Heart-Beat-Based Security for mHealth Applications.

Enhancing Heart-Beat-Based Security for mHealth Applications.

Abstract：

:In heart-beat-based security, a security key is derived from the time difference between consecutive heart beats (the inter-pulse interval, IPI), which may, subsequently, be used to enable secure communication. While heart-beat-based security holds promise in mobile health (mHealth) applications, there currently exists no work that provides a detailed characterization of the delivered security in a real system. In this paper, we evaluate the strength of IPI-based security keys in the context of entity authentication. We investigate several aspects that should be considered in practice, including subjects with reduced heart-rate variability (HRV), different sensor-sampling frequencies, intersensor variability (i.e., how accurate each entity may measure heart beats) as well as average and worst-case-authentication time. Contrary to the current state of the art, our evaluation demonstrates that authentication using multiple, less-entropic keys may actually increase the key strength by reducing the effects of intersensor variability. Moreover, we find that the maximal key strength of a 60-bit key varies between 29.2 bits and only 5.7 bits, depending on the subject's HRV. To improve security, we introduce the inter-multi-pulse interval (ImPI), a novel method of extracting entropy from the heart by considering the time difference between nonconsecutive heart beats. Given the same authentication time, using the ImPI for key generation increases key strength by up to 3.4 × (+19.2 bits) for subjects with limited HRV, at the cost of an extended key-generation time of 4.8 × (+45 s).

journal_name

IEEE J Biomed Health Inform

journal_title

IEEE journal of biomedical and health informatics

authors

Seepers RM,Strydis C,Sourdis I,De Zeeuw CI

doi

10.1109/JBHI.2015.2496151

subject

Has Abstract

pub_date

2017-01-01 00:00:00

pages

254-262

issue

1

eissn

2168-2194

issn

2168-2208

journal_volume

21

pub_type

杂志文章

相关文献

IEEE Journal of Biomedical and Health Informatics文献大全
  • 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 Continuously Updated, Computationally Efficient Stress Recognition Framework Using Electroencephalogram (EEG) by Applying Online Multitask Learning Algorithms (OMTL).

    abstract：:Recognizing the factors that cause stress is a crucial step toward early detection of stressors. In this regard, several studies make an effort to recognize individuals' stress using an Electroencephalogram (EEG). However, current EEG-based stress recognition frameworks have several drawbacks. First, they are mostly d...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2018.2870963

    authors： Jebelli H,Mahdi Khalili M,Lee S

    更新日期：2019-09-01 00:00:00

  • Posture and activity recognition and energy expenditure estimation in a wearable platform.

    abstract：:The use of wearable sensors coupled with the processing power of mobile phones may be an attractive way to provide real-time feedback about physical activity and energy expenditure (EE). Here, we describe the use of a shoe-based wearable sensor system (SmartShoe) with a mobile phone for real-time recognition of variou...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2015.2432454

    authors： Sazonov E,Hegde N,Browning RC,Melanson EL,Sazonova NA

    更新日期：2015-07-01 00:00:00

  • Groupwise Multichannel Image Registration.

    abstract：:Multichannel image registration is an important challenge in medical image analysis. Multichannel images result from modalities such as dual-energy CT or multispectral microscopy. Besides, multichannel feature images can be derived from acquired images, for instance, by applying multiscale feature banks to the origina...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2018.2844361

    authors： Guyader JM,Huizinga W,Fortunati V,Poot DHJ,Veenland JF,Paulides MM,Niessen WJ,Klein S

    更新日期：2019-05-01 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

  • 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

  • A Framework for Classifying Online Mental Health-Related Communities With an Interest in Depression.

    abstract：:Mental illness has a deep impact on individuals, families, and by extension, society as a whole. Social networks allow individuals with mental disorders to communicate with others sufferers via online communities, providing an invaluable resource for studies on textual signs of psychological health problems. Mental di...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2016.2543741

    authors： Saha B,Nguyen T,Phung D,Venkatesh S

    更新日期：2016-07-01 00:00:00

  • Attention-aware Residual Network based Manifold Learning for White Blood Cells Classification.

    abstract：:The classification of six types of white blood cells (WBCs) is considered essential for leukemia diagnosis, while the classification is labor-intensive and strict with the clinical experience. To relieve the complicated process with an efficient and automatic method, we propose the Attention-aware Residual Network bas...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2020.3012711

    authors： Huang P,Wang J,Zhang J,Shen Y,Liu C,Song W,Wu S,Zuo Y,Lu Z,Li D

    更新日期：2020-07-29 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

  • A Residual Based Attention Model for EEG Based Sleep Staging.

    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

    pub_type： 杂志文章

    doi：10.1109/JBHI.2020.2978004

    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

  • Laryngeal Tumor Detection and Classification in Endoscopic Video.

    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

    authors： Barbalata C,Mattos LS

    更新日期：2016-01-01 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

  • 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

  • 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

  • Sleep Period Time Estimation Based on Electrodermal Activity.

    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

    authors： Hwang SH,Seo S,Yoon HN,Jung DW,Baek HJ,Cho J,Choi JW,Lee YJ,Jeong DU,Park KS

    更新日期：2017-01-01 00:00:00

  • Contribution of a Trunk Accelerometer System to the Characterization of Gait in Patients With Mild-to-Moderate Parkinson's Disease.

    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

    authors： Demonceau M,Donneau AF,Croisier JL,Skawiniak E,Boutaayamou M,Maquet D,Garraux G

    更新日期：2015-11-01 00:00:00

  • Towards Improving Skin Cancer Diagnosis by Integrating Microarray and RNA-Seq Datasets.

    abstract：:Many clinical studies have revealed the high biological similarities existing among different skin pathological states. These similarities create difficulties in the efficient diagnosis of skin cancer, and encourage to study and design new intelligent clinical decision support systems. In this sense, gene expression a...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2019.2953978

    authors： Galvez JM,Castillo-Secilla D,Herrera LJ,Valenzuela O,Caba O,Prados JC,Ortuno FM,Rojas I

    更新日期：2020-07-01 00:00:00

  • The single equivalent moving dipole model does not require spatial anatomical information to determine cardiac sources of activation.

    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

    authors： Sohn K,Lv W,Lee K,Galea AM,Hirschman GB,Hayward AM,Cohen RJ,Armoundas AA

    更新日期：2014-01-01 00:00:00

  • Detecting Suspected Pump Thrombosis in Left Ventricular Assist Devices via Acoustic Analysis.

    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

    authors： Semiz B,Hersek S,Pouyan MB,Partida C,Blazquez-Arroyo L,Selby V,Wieselthaler G,Rehg JM,Klein L,Inan OT

    更新日期：2020-07-01 00:00:00

  • A Global Covariance Descriptor for Nuclear Atypia Scoring in Breast Histopathology Images.

    abstract：:Nuclear atypia scoring is a diagnostic measure commonly used to assess tumor grade of various cancers, including breast cancer. It provides a quantitative measure of deviation in visual appearance of cell nuclei from those in normal epithelial cells. In this paper, we present a novel image-level descriptor for nuclear...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2015.2447008

    authors： Khan AM,Sirinukunwattana K,Rajpoot N

    更新日期：2015-09-01 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 DNA-Based Intelligent Expert System for Personalised Skin-Health Recommendations.

    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

    pub_type： 杂志文章

    doi：10.1109/JBHI.2020.2978667

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

    更新日期：2020-11-01 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

  • Data mining in bone marrow transplant records to identify patients with high odds of survival.

    abstract：:Patients undergoing a bone marrow stem cell transplant (BMT) face various risk factors. Analyzing data from past transplants could enhance the understanding of the factors influencing success. Records up to 120 measurements per transplant procedure from 1751 patients undergoing BMT were collected (Shariati Hospital). ...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2013.2274733

    authors： Taati B,Snoek J,Aleman D,Ghavamzadeh A

    更新日期：2014-01-01 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

  • Adaptive Stimulation Profiles Modulation for Foot Drop Correction Using Functional Electrical Stimulation: A Proof of Concept Study.

    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

    pub_type： 杂志文章

    doi：10.1109/JBHI.2020.2989747

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

    更新日期：2021-01-01 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

  • Coronary vein extraction in MSCT volumes using minimum cost path and geometrical moments.

    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

    authors： Garcia MP,Velut J,Boulmier D,Leclercq C,Garreau M,Haigron P,Toumoulin C

    更新日期：2013-03-01 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

  • 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...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2014.2314144

    authors： Paalasmaa J,Toivonen H,Partinen M

    更新日期：2015-11-01 00:00:00