PulseGAN: Learning to generate realistic pulse waveforms in remote photoplethysmography.

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 (HR) values due to the limitation of inaccurate pulse signals. In this paper, a new framework based on generative adversarial network, called PulseGAN, is introduced to generate realistic rPPG pulse signals through denoising the chrominance (CHROM) signals. Considering that the cardiac signal is quasi-periodic and has apparent time-frequency characteristics, the error losses defined in time and spectrum domains are both employed with the adversarial loss to enforce the model generating accurate pulse waveforms as its reference. The proposed framework is tested on three public databases. The results show that the PulseGAN framework can effectively improve the waveform quality, thereby enhancing the accuracy of HR, the interbeat interval (IBI) and the related heart rate variability (HRV) features. The proposed method significantly improves the quality of waveforms compared to the input CHROM signals, with the mean absolute error of AVNN (the average of all normal-to-normal intervals) reduced by 41.19%, 40.45%, 41.63%, and the mean absolute error of SDNN (the standard deviation of all NN intervals) reduced by 37.53%, 44.29%, 58.41%, in the cross-database test on the UBFC-RPPG, PURE, and MAHNOB-HCI databases, respectively. This framework can be easily integrated with other existing rPPG methods to further improve the quality of waveforms, thereby obtaining more reliable IBI features and extending the application scope of rPPG techniques.

authors

Song R,Chen H,Cheng J,Li C,Liu Y,Chen X

doi

10.1109/JBHI.2021.3051176

subject

Has Abstract

pub_date

2021-01-12 00:00:00

eissn

2168-2194

issn

2168-2208

journal_volume

PP

pub_type

杂志文章
  • Inverse estimation of multiple muscle activations from joint moment with muscle synergy extraction.

    abstract::Human movement is produced resulting from synergetic combinations of multiple muscle contractions. The resultant joint movement can be estimated through the related multiple-muscle activities, which is formulated as the forward problem. Neuroprosthetic applications may benefit from cocontraction of agonist and antagon...

    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.2014.2342274

    authors: Li Z,Guiraud D,Hayashibe M

    更新日期:2015-01-01 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

  • Compressed sensing technology-based spectral estimation of heart rate variability using the integral pulse frequency modulation model.

    abstract::In this paper, a compressed sensing (CS)-based spectral estimation of heart rate variability (HRV) using the integral pulse frequency modulation (IPFM) model is introduced. Previous research in the literature indicated that the IPFM model is widely accepted as a functional description of the cardiac pacemaker, and thu...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2013.2282307

    authors: Chen SW,Chao SC

    更新日期:2014-05-01 00:00:00

  • Automatic Polyp Detection via a Novel Unified Bottom-Up and Top-Down Saliency Approach.

    abstract::In this paper, we propose a novel automatic computer-aided method to detect polyps for colonoscopy videos. To capture perceptually and semantically meaningful salient polyp regions, we first segment images into multilevel superpixels. Each level corresponds to different sizes of superpixels. Rather than adopting hand-...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2017.2734329

    authors: Yuan Y,Li D,Meng MQ,Yixuan Yuan,Dengwang Li,Meng MQ

    更新日期:2018-07-01 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

  • Segmenting Vitiligo on Clinical Face Images using CNN Trained on Synthetic and Internet Images.

    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

    authors: Li Y,Kong A,Thng S

    更新日期:2021-01-29 00:00:00

  • Robotic-Assisted Needle Steering Around Anatomical Obstacles Using Notched Steerable Needles.

    abstract::Robotic-assisted needle steering can enhance the accuracy of needle-based interventions. Application of current needle steering techniques are restricted by the limited deflection curvature of needles. Here, a novel steerable needle with improved curvature is developed and used with an online motion planner to steer t...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2017.2780192

    authors: Khadem M,Rossa C,Usmani N,Sloboda RS,Tavakoli M

    更新日期:2018-11-01 00:00:00

  • Q-Rank: Reinforcement Learning for Recommending Algorithms to Predict Drug Sensitivity to Cancer Therapy.

    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

    authors: Daoud S,Mdhaffar A,Jmaiel M,Freisleben B

    更新日期:2020-11-01 00:00:00

  • Acoustic signal classification of breathing movements to virtually aid breath regulation.

    abstract::Monitoring breath and identifying breathing movements have settled importance in many biomedical research areas, especially in the treatment of those with breathing disorders, e.g., lung cancer patients. Moreover, virtual reality (VR) revolution and their implementations on ubiquitous hand-held devices have a lot of i...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2013.2244901

    authors: Abushakra A,Faezipour M

    更新日期:2013-03-01 00:00:00

  • Screening For Depression With Retrospectively Harvested Private Versus Public Text.

    abstract::Depression is the leading cause of disability, often undiagnosed, and one of the most treatable mood disorders. As such, unobtrusively diagnosing depression is important. Many studies are starting to utilize machine learning for depression sensing from social media and Smartphone data to replace the survey instruments...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2020.2983035

    authors: Tlachac ML,Rundensteiner E

    更新日期:2020-11-01 00:00:00

  • Multiple kernel learning in the primal for multimodal Alzheimer's disease classification.

    abstract::To achieve effective and efficient detection of Alzheimer's disease (AD), many machine learning methods have been introduced into this realm. However, the general case of limited training samples, as well as different feature representations typically makes this problem challenging. In this paper, we propose a novel m...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2013.2285378

    authors: Liu F,Zhou L,Shen C,Yin J

    更新日期:2014-05-01 00:00:00

  • Multi-Scale Time-Series Kernel-Based Learning Method for Brain Disease Diagnosis.

    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

    authors: Zhang Z,Ding J,Xu J,Tang J,Guo F

    更新日期:2021-01-01 00:00:00

  • 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

  • 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

  • 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

  • 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

  • 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

  • Activation of Superficial and Deep Finger Flexors through Transcutaneous Nerve Stimulation.

    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

    authors: Shin H,Hawari MA,Hu X

    更新日期:2020-12-01 00:00:00

  • Automatic motion analysis system for pyloric flow in ultrasonic videos.

    abstract::Ultrasonography has been widely used to evaluate duodenogastric reflux (DGR). But to the best of our knowledge, no automatic analysis system was developed to realize the quantitative computer-aided analysis. In this paper, we propose a system to perform the automatic detection of DGR in the ultrasonic image sequences ...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2013.2272090

    authors: Chen C,Wang Y,Yu J,Zhou Z,Shen L,Chen YQ

    更新日期:2014-01-01 00:00:00

  • Advanced Insulin Bolus Advisor Based on Run-To-Run Control and Case-Based Reasoning.

    abstract::This paper presents an advanced insulin bolus advisor for people with diabetes on multiple daily injections or insulin pump therapy. The proposed system, which runs on a smartphone, keeps the simplicity of a standard bolus calculator while enhancing its performance by providing more adaptability and flexibility. This ...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2014.2331896

    authors: Herrero P,Pesl P,Reddy M,Oliver N,Georgiou P,Toumazou C

    更新日期:2015-05-01 00:00:00

  • Cooperative Low-Rank Models for Removing Stripe Noise From OCTA Images.

    abstract::Optical coherence tomography angiography (OCTA) is an emerging non-invasive imaging technique for imaging the microvasculature of the eye based on phase variance or amplitude decorrelation derived from repeated OCT images of the same tissue area. Stripe noise occurs during the OCTA acquisition process due to the invol...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2020.2997381

    authors: Wu X,Gao D,Borroni D,Madhusudhan S,Jin Z,Zheng Y

    更新日期:2020-12-01 00:00:00

  • Network-based modeling and intelligent data mining of social media for improving care.

    abstract::Intelligently extracting knowledge from social media has recently attracted great interest from the Biomedical and Health Informatics community to simultaneously improve healthcare outcomes and reduce costs using consumer-generated opinion. We propose a two-step analysis framework that focuses on positive and negative...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2014.2336251

    authors: Akay A,Dragomir A,Erlandsson BE

    更新日期:2015-01-01 00:00:00

  • Three-Dimensional Needle Shape Estimation in TRUS-Guided Prostate Brachytherapy Using 2-D Ultrasound Images.

    abstract::In this paper, we propose an automated method to reconstruct the three-dimensional (3-D) needle shape during needle insertion procedures using only 2-D transverse ultrasound (US) images. Using a set of transverse US images, image processing and random sample consensus are used to locate the needle within each image an...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2015.2477829

    authors: Waine M,Rossa C,Sloboda R,Usmani N,Tavakoli M

    更新日期:2016-11-01 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

  • 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

  • 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

  • A chance-constrained programming approach to preoperative planning of robotic cardiac surgery under task-level uncertainty.

    abstract::In this paper, a novel formulation for robust surgical planning of robotics-assisted minimally invasive cardiac surgery based on patient-specific preoperative images is proposed. In this context, robustness is quantified in terms of the likelihood of intraoperative collisions and of joint limit violations. The propose...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2014.2315798

    authors: Azimian H,Naish MD,Kiaii B,Patel RV

    更新日期:2015-03-01 00:00:00

  • Fast QRS Detection and ECG Compression Based on Signal Structural Analysis.

    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

    authors: Burguera A

    更新日期:2019-01-01 00:00:00

  • Segmentation and Measurement of Chronic Wounds for Bioprinting.

    abstract:OBJECTIVE:to provide a proof-of-concept tool for segmenting chronic wounds and transmitting the results as instructions and coordinates to a bioprinter robot and thus facilitate the treatment of chronic wounds. METHODS:several segmentation methods used for measuring wound geometry, including edge-detection and morphol...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2017.2743526

    authors: Gholami P,Ahmadi-Pajouh MA,Abolftahi N,Hamarneh G,Kayvanrad M,Gholami P,Ahmadi-Pajouh MA,Abolftahi N,Hamarneh G,Kayvanrad M

    更新日期:2018-07-01 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