A Review of Methods and Applications for a Heart Rate Variability Analysis

Letter Clinical Neurology

The importance of assessing sleep disorders in multiple sclerosis

Julia Kondo et al.

SLEEP AND BREATHING (2023)

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Editorial Material Substance Abuse

Is it time to rethink low-risk drinking guidelines?

Henry R. Kranzler

ALCOHOL-CLINICAL AND EXPERIMENTAL RESEARCH (2022)

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Editorial Material Cardiac & Cardiovascular Systems

A TRP to the emergency room: Understanding arrhythmia in the ageing heart

William E. Louch

CARDIOVASCULAR RESEARCH (2022)

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Article Computer Science, Hardware & Architecture

Telemedical transport layer security based platform for cardiac arrhythmia classification using quadratic time-frequency analysis of HRV signal

Ismail Hadj Ahmed et al.

Summary: Heart rate variability signal is a valuable tool for cardiovascular system diagnostics, used to detect arrhythmia and abnormalities in the autonomic nervous system. Quadratic time-frequency analysis of the signal can help detect various cardiovascular pathologies. A client-server telemedical platform was developed for real-time remote monitoring of cardiovascular function in arrhythmia patients, allowing immediate interaction in case of alarms.

JOURNAL OF SUPERCOMPUTING (2022)

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Article Biophysics

Sleep staging classification based on a new parallel fusion method of multiple sources signals

Yafang Hei et al.

Summary: This study aims to establish a new automatic sleep staging algorithm using EOG and ECG, showing significant improvement in average accuracy and Kappa coefficient for sleep classification. The proposed method using XGBoost classification model with PFM achieved an average accuracy of 83% and Kappa coefficient of 0.7, with significantly improved recognition rate for S1 stage.

PHYSIOLOGICAL MEASUREMENT (2022)

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Article Biophysics

Effect of temporal resolution on the detection of cardiac arrhythmias using HRV features and machine learning

Sagi Ben Itzhak et al.

Summary: This study investigated the impact of wearable devices on the detection and monitoring of arrhythmia. The results showed that heart rate variability features extracted from low-resolution long-term heart rate recordings have the potential to improve early detection of arrhythmias in undiagnosed individuals.

PHYSIOLOGICAL MEASUREMENT (2022)

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Article Health Care Sciences & Services

Heart Rate Variability measured during rest and after orthostatic challenge to detect autonomic dysfunction in Type 2 Diabetes Mellitus using the Classification and Regression Tree model

Shashikant Rathod et al.

Summary: According to the World Health Organization, one in ten adults will have Type 2 Diabetes Mellitus (T2DM) in the next few years. This study used a combined approach of resting and orthostatic challenge Heart Rate Variability (HRV) measurement with machine learning techniques to evaluate autonomic dysfunction in T2DM patients. The results showed a blunted autonomic response in the T2DM group compared to the control group, and the developed Classification and Regression Tree (CART) model had better performance in detecting autonomic dysfunction in T2DM.

TECHNOLOGY AND HEALTH CARE (2022)

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Article Engineering, Biomedical

Linear and nonlinear analyses of heart rate variability signals under mental load

Tengteng Hao et al.

Summary: Mental load has a significant impact on the efficiency and reliability of human-machine systems. This study investigated the changes in heart rate variability (HRV) signals under a mental load state and identified several HRV parameters that can reliably detect the presence of mental load. The findings provide a theoretical basis for effectively identifying mental load and contribute to the study of job reliability under the influence of mental load.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2022)

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Article Cardiac & Cardiovascular Systems

An automated detection of atrial fibrillation from single-lead ECG using HRV features and machine learning

Abhimanyu Singh Udawat et al.

Summary: This study presents a new approach for automated AF detection using heart rate variability features and machine learning. The proposed method achieves better performance compared to existing approaches and is effectively tested on previously unseen datasets.

JOURNAL OF ELECTROCARDIOLOGY (2022)

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Article Cardiac & Cardiovascular Systems

Smoking and alcohol consumption influence the risk of cardiovascular diseases in Korean adults with elevated blood pressure

Jiae Shin et al.

Summary: This study investigated the independent and combined effects of smoking and alcohol consumption on cardiovascular disease (CVD) risk among Koreans with elevated blood pressure. The findings showed that both smoking and alcohol consumption were associated with increased CVD risk, and women had a higher risk than men.

NUTRITION METABOLISM AND CARDIOVASCULAR DISEASES (2022)

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Article Chemistry, Analytical

Validity of Ultra-Short-Term HRV Analysis Using PPG-A Preliminary Study

Aline Taoum et al.

Summary: Continuous measurement of heart rate variability using wearable devices is important for monitoring physiological status and preventing diseases. This study compared HRV features measured by a commercial device (Bora Band) and reference electrocardiography (ECG), and validated the use of ultra-short-term HRV as a substitute for short-term HRV features. The results showed agreement between PPG and ECG recordings for most HRV features, and the Bora Band provided valid and reliable HRV measurements in both short and ultra-short-term recordings.

SENSORS (2022)

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Article Medicine, General & Internal

Heart rate variability in patients with atrial fibrillation and hypertension

Ahsan A. Khan et al.

Summary: AF, regardless of hypertension, is associated with higher HRV, and may be related to vagal tone. Permanent AF has a stronger influence on HRV than paroxysmal AF, indicating autonomic involvement in permanent AF pathophysiology. Exploration of autonomic modulation on cardiovascular system is recommended for future studies.

EUROPEAN JOURNAL OF CLINICAL INVESTIGATION (2021)

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Article Cardiac & Cardiovascular Systems

Cardiac arrhythmias and sudden unexpected death in epilepsy: Results of long-term monitoring

Svetlana Serdyuk et al.

Summary: This study evaluated cardiac arrhythmias in patients with drug-resistant epilepsy using an implantable loop recorder, finding that most patients experienced ictal heart rhythm and rate changes, with sinus tachycardia being the most common. Clinically relevant cardiac pauses were rare, but three patients required permanent pacemaker implantation. Five patients died suddenly, with no malignant arrhythmias detected in the preceding follow-up period.

HEART RHYTHM (2021)

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Article

Prediction of atrial fibrillation based on nonlinear modeling of heart rate variability signal and SVM classifier

Saurav Mandal et al.

Research on Biomedical Engineering (2021)

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Article Clinical Neurology

Machine learning-based discrimination of panic disorder from other anxiety disorders

Kyoung-Sae Na et al.

Summary: This study utilized machine learning approach with heart rate variability as input to differentiate panic disorder from other anxiety disorders. The L1-regularized logistic regression showed the best accuracy, suggesting HRV can be used as a diagnostic tool in machine learning. Future studies with larger sample sizes and longitudinal design are needed to confirm the diagnostic utility of HRV.

JOURNAL OF AFFECTIVE DISORDERS (2021)

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Review Clinical Neurology

Heart rate variability and obstructive sleep apnea: Current perspectives and novel technologies

Seren Ucak et al.

Summary: Obstructive sleep apnea (OSA) is a common condition that increases the risk of cardiovascular diseases, with sympathetic overactivity being a primary contributing factor. Heart rate variability (HRV) can evaluate shifts in the autonomic nervous system, aiding in treatment response and cardiovascular risk detection in OSA patients. New technologies aim to enhance HRV analysis efficiency for quicker processing, improved diagnosis of OSA, and better detection of cardiovascular risk.

JOURNAL OF SLEEP RESEARCH (2021)

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Review Chemistry, Analytical

Clinical and Research Solutions to Manage Obstructive Sleep Apnea: A Review

Fen Xia et al.

Summary: Obstructive sleep apnea (OSA), if untreated, can lead to serious health risks such as stroke and sudden death. This paper covers current clinical treatments for OSA and ongoing research to improve success rates, as well as guidelines for selecting treatments based on scientific evidence. Future research should focus on consistent follow-up and larger sample sizes, with promising areas including implantable medical devices and non-invasive treatments like transcutaneous electrical stimulation.

SENSORS (2021)

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Article Clinical Neurology

Heart rate variability during wakefulness as a marker of obstructive sleep apnea severity

Hua Qin et al.

Summary: This study found an association between heart rate variability (HRV) during wakefulness and the severity of obstructive sleep apnea (OSA) in a large clinical sample. Patients with severe OSA exhibited significantly reduced and less complex HRV in time-domain and nonlinear measures. Frequency-domain measures showed a shift to sympathetic dominance only in obese OSA patients, indicating additional information about cardiovascular physiology in OSA patients during wakefulness.

SLEEP (2021)

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Article Physiology

The validity and reliability of ultra-short-term heart rate variability parameters and the influence of physiological covariates

Joel S. Burma et al.

Summary: The study found that recording durations of at least 60 s, 240 s, and 300 s were acceptable for heart rate, time-domain, and frequency-domain HRV metrics, respectively. Longer recording durations were associated with increased validity and reliability, with less impact from physiological variables.

JOURNAL OF APPLIED PHYSIOLOGY (2021)

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Article Cardiac & Cardiovascular Systems

Clinical significance of heart rate variability for the monitoring of cardiac autonomic neuropathy in end-stage renal disease patients

Ji Won Min et al.

Summary: The study demonstrated that continuous HRV monitoring may be a valuable tool in evaluating CAN in ESRD patients, with HRV parameters showing correlations with cardiac function and cardiovascular screening methods.

NUTRITION METABOLISM AND CARDIOVASCULAR DISEASES (2021)

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Article Engineering, Biomedical

Reliability of heart-rate-variability features derived from ultra-short ECG recordings and their validity in the assessment of cardiac autonomic neuropathy

D. Wehler et al.

Summary: This study aimed to provide methodologically strong evidence for the reliability of HRV analysis of ultra-short ECGs compared to the benchmark of 300 s. Results showed that RMSSD and HF were reliable and retained significant differences between control and dCAN from ECGs down to 10 s, while LF could be considered reliable in recordings of at least 30 s. The study also indicated that ultra-short HRV analysis has the potential to become a time-efficient and accurate diagnostic tool for dCAN in clinical practice.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2021)

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Article Cardiac & Cardiovascular Systems

Assessment of heart rate variability (HRV) in subjects with type 2 diabetes mellitus with and without diabetic foot: correlations with endothelial dysfunction indices and markers of adipo-inflammatory dysfunction

Antonino Tuttolomondo et al.

Summary: Patients with diabetic foot complications have worse cardiovascular risk profiles, higher levels of endothelial dysfunction, and an altered sympathovagal balance compared to patients with diabetes without foot complications. This study aimed to evaluate the sympathovagal balance in patients with diabetic foot and control subjects, and explore the correlation of HRV parameters with inflammatory markers and endothelial dysfunction indices. The results showed differences in HRV indices between patients with diabetic foot and healthy controls, indicating a relationship between parasympathetic dysfunction and vascular complications in diabetic foot patients.

CARDIOVASCULAR DIABETOLOGY (2021)

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Article Engineering, Multidisciplinary

An Effective Deep Learning Model for Automated Detection of Myocardial Infarction Based on Ultrashort-Term Heart Rate Variability Analysis

Muhammad Bilal Shahnawaz et al.

Summary: A deep learning model based on heart rate variability analysis is proposed for MI detection, achieving 99.1% accuracy. The model shows excellent performance in MI detection and classification, with high efficiency, making it suitable for high-performance MI detection.

MATHEMATICAL PROBLEMS IN ENGINEERING (2021)

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Article Chemistry, Analytical

Effects of ECG Data Length on Heart Rate Variability among Young Healthy Adults

En-Fan Chou et al.

Summary: The relationship between the robustness of HRV derived by linear and nonlinear methods to the required minimum data lengths has yet to be well understood. This study found that most HRV measures can be adequately computed by small data sizes, while some may require longer data lengths. Determining the optimal minimum data sizes can potentially improve efficiency and save time and effort for both patients and medical care providers.

SENSORS (2021)

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Article Multidisciplinary Sciences

Impact of acute ethanol intake on cardiac autonomic regulation

Stefan Brunner et al.

Summary: Acute alcohol consumption can lead to cardiac arrhythmias related to the 'Holiday Heart Syndrome' by causing autonomic imbalance, with increased sympathetic activity and decreased parasympathetic activity. This imbalance may trigger arrhythmias, as shown by changes in measures of the cardiac autonomic nervous system during alcohol administration.

SCIENTIFIC REPORTS (2021)

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Article Health Care Sciences & Services

ECG Signal Modeling Using Volatility Properties: Its Application in Sleep Apnea Syndrome

Maryam Faal et al.

Summary: This study introduces a mathematical model to estimate the mean and variance of single-lead ECG signals in sleep apnea syndrome, decomposing the nonstationarity of ECG signals into two components (ARIMA and EGARCH) to capture linear and nonlinear characteristics. The model is evaluated through various tests and performance metrics, showing that the ARIMA-EGARCH model outperforms other models in modeling both apneic and normal ECG signals in sleep apnea syndrome.

JOURNAL OF HEALTHCARE ENGINEERING (2021)

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Review Psychiatry

The Different Facets of Heart Rate Variability in Obstructive Sleep Apnea

Hua Qin et al.

Summary: This article introduces the various applications of heart rate variability (HRV) in obstructive sleep apnea (OSA) to examine impaired neuro-cardiac modulation. HRV can serve as a reasonable and more convenient alternative for screening, diagnosing, classifying, and predicting OSA patients.

FRONTIERS IN PSYCHIATRY (2021)

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Review Cardiac & Cardiovascular Systems

Accurate and early detection of sleepiness, fatigue and stress levels in drivers through Heart Rate Variability parameters: a systematic review

Alexandru Burlacu et al.

Summary: Studies have shown that HRV measurement is an effective tool for monitoring sleepiness, fatigue, and stress levels in drivers, but there are differences in sensitivity, specificity, and accuracy of HRV across different studies. Confounding factors in real-world conditions may affect HRV measurements, suggesting that a multi-parameter measurement approach is optimal for evaluating drivers' vigilance state.

REVIEWS IN CARDIOVASCULAR MEDICINE (2021)

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Article Medicine, General & Internal

Assessment of the Impact of Alcohol Consumption Patterns on Heart Rate Variability by Machine Learning in Healthy Young Adults

Gheorghe Nicusor Pop et al.

Summary: This study used machine learning algorithms to analyze the relationship between autonomic nervous system dysfunction and cardiovascular risk factors. The results indicated that heavy drinkers had lower HRV values and that alcohol consumption and age had the greatest impact on HRV parameters.

MEDICINA-LITHUANIA (2021)

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Article Computer Science, Information Systems

Screening Cardiovascular Autonomic Neuropathy in Diabetic Patients With Microvascular Complications Using Machine Learning: A 24-Hour Heart Rate Variability Study

Mohanad Alkhodari et al.

Summary: This study investigated cardiovascular autonomic neuropathy (CAN) in diabetic patients through comprehensive screening, developing a hierarchical diagnosis procedure with a high accuracy of 98.5% using machine learning algorithms and 24-hour heart rate variability features. In CAN diagnosis, 7:00 AM and 7:00 PM were found to be the most significant times.

IEEE ACCESS (2021)

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Article Urology & Nephrology

Effects of parathyroidectomy on plasma PTH fragments and heart rate variability in stage 5 chronic kidney disease patients

Huimin Chen et al.

Summary: This study found correlations between plasma (1-84) PTH levels and heart rate variability (HRV) in CKD5 patients, with improved HRV related to decreased levels of (1-84) PTH and (7-84) PTH after PTX. No antagonistic effects of (1-84) PTH and (7-84) PTH on HRV were observed in CKD5 patients.

RENAL FAILURE (2021)

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Article Computer Science, Information Systems

Stratification of High-Risk Hypertensive Patients Using Hybrid Heart Rate Variability Features and Boosting Algorithms

Dipen Deka et al.

Summary: Hypertension is a global public health challenge that can lead to life-threatening vascular diseases without proper control measures. Identifying high-risk patients early is crucial due to the prevalence of vascular diseases. Heart rate variability analysis can effectively predict sudden cardiac deaths, but distinguishing between low and high-risk patients based on HRV can be challenging. This study proposes a hybrid approach using DTCWPT and time-domain analysis to extract features from HRV signals, addressing issues such as ectopic beats and class imbalance with algorithms like TVAR and CS-RUSBoost for efficient classification modeling, ultimately showing superior results compared to other methods.

IEEE ACCESS (2021)

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Article Computer Science, Information Systems

An Overview of Parametric Modeling and Methods for Radar Target Detection With Limited Data

Fangzhou Wang et al.

Summary: This article surveys recent results on adaptive radar target detection using parametric auto-regressive (AR) models. It covers three types of radar systems: phased-array radar, distributed MIMO radar, and passive radar. By employing AR processes to model signal correlation and efficiently estimate it from limited data, effective target detection in complex non-homogeneous environments is enabled, as demonstrated with computer simulated and experimental data.

IEEE ACCESS (2021)

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Article Computer Science, Information Systems

Independent component analysis: An introduction

Alaa Tharwat

Summary: This paper introduces the definition, basic principles, preprocessing steps, mixing and unmixing processes of ICA, as well as demonstrating different numerical examples and ICA algorithms, challenges, and applications.

APPLIED COMPUTING AND INFORMATICS (2021)

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Article Urology & Nephrology

Elevated circulating growth differentiation factor 15 is related to decreased heart rate variability in chronic kidney disease patients

Lulu Wang et al.

Summary: The study found a correlation between increased plasma GDF15 and decreased heart rate variability in CKD patients, indicating a need for further investigation into the role and prediction of GDF15 in cardiovascular disease.

RENAL FAILURE (2021)

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Review Health Care Sciences & Services

Trends in Heart-Rate Variability Signal Analysis

Syem Ishaque et al.

Summary: HRV, as a method used to analyze the Autonomic Nervous System, has shown trends related to morbidity and stress in research. By limiting the analysis of physiological signals, a better understanding of the connection between HRV and health can be achieved, and improvements in machine learning techniques can enhance detection accuracy during motion.

FRONTIERS IN DIGITAL HEALTH (2021)

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Article Computer Science, Artificial Intelligence

Classifying Affective Haptic Stimuli through Gender-Specific Heart Rate Variability Nonlinear Analysis

Mimma Nardelli et al.

IEEE TRANSACTIONS ON AFFECTIVE COMPUTING (2020)

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Article Engineering, Electrical & Electronic

Development of hybrid artificial intelligence based automatic sleep/awake detection

Mehmet Recep Bozkurt et al.

IET SCIENCE MEASUREMENT & TECHNOLOGY (2020)

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Article Engineering, Biomedical

A decision support system for automatic sleep staging from HRV using wavelet packet decomposition and energy features

Geng Du-Yan et al.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2020)

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Review Clinical Neurology

Relationships between REM and NREM in the NREM-REM sleep cycle: a review on competing concepts

Olivier Le Bon

SLEEP MEDICINE (2020)

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Article Engineering, Biomedical

Heart rate variability features from nonlinear cardiac dynamics in identification of diabetes using artificial neural network and support vector machine

Yogender Aggarwal et al.

BIOCYBERNETICS AND BIOMEDICAL ENGINEERING (2020)

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Article Computer Science, Information Systems

Predicting Neonatal Sepsis Using Features of Heart Rate Variability, Respiratory Characteristics, and ECG-Derived Estimates of Infant Motion

Rohan Joshi et al.

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2020)

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Article Computer Science, Artificial Intelligence

Deep neural networks to predict diabetic retinopathy

Thippa Reddy Gadekallu et al.

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2020)

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Article Health Care Sciences & Services

A Novel Smartphone App for the Measurement of Ultra-Short-Term and Short-Term Heart Rate Variability: Validity and Reliability Study

Yung-Sheng Chen et al.

JMIR MHEALTH AND UHEALTH (2020)

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Article Engineering, Biomedical

Continuous wavelet transform based processing for estimating the power spectrum content of heart rate variability during hemodiafiltration

Raul Cartas-Rosado et al.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2020)

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Article Engineering, Biomedical

Analysis of heart rate variability to understand the effect of cannabis consumption on Indian male paddy-field workers

Suraj K. Nayak et al.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2020)

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Article Computer Science, Artificial Intelligence

ECG signal processing and KNN classifier-based abnormality detection by VH-doctor for remote cardiac healthcare monitoring

B. Venkataramanaiah et al.

SOFT COMPUTING (2020)

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Review Psychology, Clinical

Autonomic dysfunction in posttraumatic stress disorder indexed by heart rate variability: a meta-analysis

Martha Schneider et al.

PSYCHOLOGICAL MEDICINE (2020)

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Proceedings Paper Computer Science, Cybernetics

Towards Wearable-based Hypoglycemia Detection and Warning in Diabetes

Martin Maritsch et al.

CHI'20: EXTENDED ABSTRACTS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (2020)

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Proceedings Paper Computer Science, Artificial Intelligence

A Supervised Correlation Coefficient Method: Detection of Different Correlation

Sen Wang et al.

2020 12TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI) (2020)

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Article Cardiac & Cardiovascular Systems

Linking the heart and the brain: Neurodevelopmental disorders in patients with catecholaminergic polymorphic ventricular tachycardia

Krystien V. V. Lieve et al.

HEART RHYTHM (2019)

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Article Endocrinology & Metabolism

Early Detection of Hypoglycemia in Type 1 Diabetes Using Heart Rate Variability Measured by a Wearable Device

Marleen Olde Bekkink et al.

DIABETES CARE (2019)

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Article Medicine, General & Internal

Linear and nonlinear analyses of heart rate variability following orthostatism in subclinical hypothyroidism

Rosangela A. Hoshi et al.

MEDICINE (2019)

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Article Computer Science, Hardware & Architecture

Accurate tunable-Q wavelet transform based method for QRS complex detection

Ashish Sharma et al.

COMPUTERS & ELECTRICAL ENGINEERING (2019)

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Article Health Care Sciences & Services

Entropy analysis of heart rate variability and its application to recognize major depressive disorder: A pilot study

Sangwon Byun et al.

TECHNOLOGY AND HEALTH CARE (2019)

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Article Engineering, Biomedical

In obstructive sleep apnea patients, automatic determination of respiratory arrests by photoplethysmography signal and heart rate variability

Mehmet Recep Bozkurt et al.

AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE (2019)

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Review Otorhinolaryngology

Aging effect on sleepiness and apneas severity in patients with obstructive sleep apnea syndrome: a meta-analysis study

Giannicola Iannella et al.

EUROPEAN ARCHIVES OF OTO-RHINO-LARYNGOLOGY (2019)

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Article Neurosciences

Early sinusoidal heart rate patterns and heart rate variability to assess hypoxia-ischaemia in near-term fetal sheep

Michi Kasai et al.

JOURNAL OF PHYSIOLOGY-LONDON (2019)

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Article Biology

Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signals

Ozal Yildirim et al.

COMPUTERS IN BIOLOGY AND MEDICINE (2019)

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Article Physics, Multidisciplinary

Empirical Mode Decomposition as a Novel Approach to Study Heart Rate Variability in Congestive Heart Failure Assessment

Mingjing Chen et al.

ENTROPY (2019)

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Article Engineering, Biomedical

Accurate automated detection of congestive heart failure using eigenvalue decomposition based features extracted from HRV signals

Rishi Raj Sharma et al.

BIOCYBERNETICS AND BIOMEDICAL ENGINEERING (2019)

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Review Cardiac & Cardiovascular Systems

Heart rate and heart rate variability comparison between postural orthostatic tachycardia syndrome versus healthy participants; a systematic review and meta-analysis

Joel Swai et al.

BMC CARDIOVASCULAR DISORDERS (2019)

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Article Mathematics, Applied

Autonomic control is a source of dynamical chaos in the cardiovascular system

A. S. Karavaev et al.

CHAOS (2019)

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Article Urology & Nephrology

Heart rate variability as a predictor of rapid renal function deterioration in chronic kidney disease patients

Yu-Hsiang Chou et al.

NEPHROLOGY (2019)

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Review Medicine, General & Internal

Novel Aspects of CPAP Treatment and Interventions to Improve CPAP Adherence

Terri E. Weaver

JOURNAL OF CLINICAL MEDICINE (2019)

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Proceedings Paper Computer Science, Information Systems

Possibility to Detect Glycemia with Heart Rate Variability in Patients with Type 2 Diabetes Mellitus in a Non-invasive Glycemic Monitoring System

Roman Novikov et al.

2019 ACTUAL PROBLEMS OF SYSTEMS AND SOFTWARE ENGINEERING (APSSE 2019) (2019)

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Article Biophysics

Obstructive sleep apnea screening by heart rate variability-based apnea/normal respiration discriminant model

Chikao Nakayama et al.

PHYSIOLOGICAL MEASUREMENT (2019)

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Article Computer Science, Artificial Intelligence

Automated recognition of hypertension through overnight continuous HRV monitoring

Hongbo Ni et al.

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2018)

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Article Neurosciences

Inconsistent relation of nonlinear heart rate variability indices to increasing vagal tone in healthy humans

Felipe X. Cepeda et al.

AUTONOMIC NEUROSCIENCE-BASIC & CLINICAL (2018)

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Article Biology

A novel application of deep learning for single-lead ECG classification

Sherin M. Mathews et al.

COMPUTERS IN BIOLOGY AND MEDICINE (2018)

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Article Endocrinology & Metabolism

Time- and frequency-domain measures of heart rate variability predict cardiovascular outcome in patients with type 2 diabetes

Seon-Ah Cha et al.

DIABETES RESEARCH AND CLINICAL PRACTICE (2018)

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Article Engineering, Biomedical

Localization of Origins of Premature Ventricular Contraction by Means of Convolutional Neural Network From 12-Lead ECG

Ting Yang et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2018)

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Review Computer Science, Interdisciplinary Applications

Relief-based feature selection: Introduction and review

Ryan J. Urbanowicz et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2018)

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Article Emergency Medicine

HEART RATE VARIABILITY ANALYSIS IN PATIENTS WHO HAVE BRADYCARDIA PRESENTING TO THE EMERGENCY DEPARTMENT WITH CHEST PAIN

Jeffrey Tadashi Sakamoto et al.

JOURNAL OF EMERGENCY MEDICINE (2018)

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Article Health Care Sciences & Services

Toward Hypertension Prediction Based on PPG-Derived HRV Signals: a Feasibility Study

Kun-chan Lan et al.

JOURNAL OF MEDICAL SYSTEMS (2018)

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Article Multidisciplinary Sciences

Improving the understanding of sleep apnea characterization using Recurrence Quantification Analysis by defining overall acceptable values for the dimensionality of the system, the delay, and the distance threshold

Sofia Martin-Gonzalez et al.

PLOS ONE (2018)

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Article Multidisciplinary Sciences

Prevalence of several somatic diseases depends on the presence and severity of obstructive sleep apnea

Ragnhild L. Tveit et al.

PLOS ONE (2018)

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Review Psychiatry

Stress and Heart Rate Variability: A Meta-Analysis and Review of the Literature

Hye-Geum Kim et al.

PSYCHIATRY INVESTIGATION (2018)

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Review Health Care Sciences & Services

A Review on the Nonlinear Dynamical System Analysis of Electrocardiogram Signal

Suraj K. Nayak et al.

JOURNAL OF HEALTHCARE ENGINEERING (2018)

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Review Clinical Neurology

Sleep Disturbances as a Risk Factor for Stroke

Dae Lim Koo et al.

JOURNAL OF STROKE (2018)

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Article Engineering, Electrical & Electronic

Fault Diagnosis Based on Weighted Extreme Learning Machine With Wavelet Packet Decomposition and KPCA

Qin Hu et al.

IEEE SENSORS JOURNAL (2018)

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Article Biophysics

Ranking of the most reliable beat morphology and heart rate variability features for the detection of atrial fibrillation in short single-lead ECG

Ivaylo Christov et al.

PHYSIOLOGICAL MEASUREMENT (2018)

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Article Computer Science, Artificial Intelligence

Application of empirical mode decomposition (EMD) for automated identification of congestive heart failure using heart rate signals

U. Rajendra Acharya et al.

NEURAL COMPUTING & APPLICATIONS (2017)

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Article Computer Science, Interdisciplinary Applications

Symptom severity classification with gradient tree boosting

Yang Liu et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2017)

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Article Chemistry, Analytical

Classification of Data from Electronic Nose Using Gradient Tree Boosting Algorithm

Yuan Luo et al.

SENSORS (2017)

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Proceedings Paper Computer Science, Interdisciplinary Applications

Fusing Gini Index and Term Frequency for Text Feature Selection

Lin Wu et al.

2017 IEEE THIRD INTERNATIONAL CONFERENCE ON MULTIMEDIA BIG DATA (BIGMM 2017) (2017)

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Review Public, Environmental & Occupational Health

An Overview of Heart Rate variability Metrics and Norms

Fred Shaffer et al.

FRONTIERS IN PUBLIC HEALTH (2017)

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Review Geography, Physical

Random forest in remote sensing: A review of applications and future directions

Mariana Belgiu et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2016)

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Review Neurosciences

Autonomic nervous system dysfunction in psychiatric disorders and the impact of psychotropic medications: a systematic review and meta-analysis

Gail A. Alvares et al.

JOURNAL OF PSYCHIATRY & NEUROSCIENCE (2016)

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Article Psychiatry

Investigation of heart rate variability in major depression patients using wavelet packet transform

Saime Akdemir Akar et al.

PSYCHIATRY RESEARCH (2016)

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Article Chemistry, Analytical

Design and Implementation of Foot-Mounted Inertial Sensor Based Wearable Electronic Device for Game Play Application

Qifan Zhou et al.

SENSORS (2016)

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Article Mathematical & Computational Biology

Cognitive Behavior Evaluation Based on Physiological Parameters among Young Healthy Subjects with Yoga as Intervention

H. Nagendra et al.

COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE (2015)

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Article Computer Science, Interdisciplinary Applications

Stable feature selection for clinical prediction: Exploiting ICD tree structure using Tree-Lasso

Iman Kamkar et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2015)

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Article Computer Science, Artificial Intelligence

Computer-aided diagnosis of diabetic subjects by heart rate variability signals using discrete wavelet transform method

U. Rajendra Acharya et al.

KNOWLEDGE-BASED SYSTEMS (2015)

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Article Neurosciences

Cognitive, behavioral, and autonomic correlates of mind wandering and perseverative cognition in major depression

Cristina Ottaviani et al.

FRONTIERS IN NEUROSCIENCE (2015)

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