Article
Medicine, General & Internal
Szymon Bus, Konrad Jedrzejewski, Przemyslaw Guzik
Summary: This study investigated the diagnostic properties of the percentage of relative RR interval differences (pRRx%) for distinguishing atrial fibrillation (AF) from sinus rhythm (SR). It was found that pRR3.25% had excellent diagnostic properties, outperforming other pRRx% parameters and the previously best single parameter for AF diagnosis, pRR31. The diagnostic properties of pRRx% deserve further exploration in other AF databases.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Cardiac & Cardiovascular Systems
Jakub S. Gasior, Marcel Mlynczak, Maciej Rosol, Piotr Wieniawski, Iwona Walecka, Gerard Cybulski, Bozena Werner
Summary: The validity of the Pneumonitor for acquiring short-term RRi was assessed and compared to the reference ECG method in pediatric patients with cardiac disease. The results showed acceptable agreement between RRi acquired using the Pneumonitor and the ECG method in terms of the number of RRi, mean RR, hazard ratio, and HRV measures. There was no association between the breathing pattern and agreement of RRi between devices.
KARDIOLOGIA POLSKA
(2023)
Article
Computer Science, Artificial Intelligence
Mohit Kumar, Weiping Zhang, Matthias Weippert, Bernhard Freudenthaler
Summary: This article introduces an explainable fuzzy theoretic nonparametric deep model for analyzing heart rate variability to assess stress levels based on short-term heartbeat interval sequences. The model utilizes a nested composition of mappings to capture abstract representations of the data and provides an analytical solution to map the heartbeat interval data onto a interpretable stress index domain. Through experimentation on datasets of 50 and 100 subjects, the model successfully estimates stress values and provides insights into autonomic nervous system activities.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Medicine, General & Internal
Oliver Faust, Murtadha Kareem, Ali Ali, Edward J. Ciaccio, U. Rajendra Acharya
Summary: This paper proposes a deep learning algorithm for automated arrhythmia detection with high accuracy. Tested on 4051 subjects, the algorithm achieved an accuracy of 99.98%. This cost-effective method enables early detection of arrhythmia, leading to improved outcomes for patients.
Article
Chemistry, Analytical
Vytautas Stankus, Petras Navickas, Anzela Slusniene, Ieva Lauceviciene, Albinas Stankus, Aleksandras Laucevicius
Summary: As HRV studies become more prevalent in clinical practice, distorted RRI data acquisition is a common cause of errors. Existing noise elimination methods do not consider the time characteristics of the RRI sequence, so we developed an artifacts elimination algorithm suited for long-term sequences that does not alter the duration of data registration.
Article
Chemistry, Multidisciplinary
Kyung Hyun Lee, Sangwon Byun
Summary: This study demonstrated age prediction in a healthy population based on RRI data using deep learning. The RRI model showed potential for automated age prediction, but had limited efficacy in predicting all age groups, indicating the need for further improvement.
APPLIED SCIENCES-BASEL
(2023)
Article
Medicine, General & Internal
Meng Lei, Jia Li, Ming Li, Liang Zou, Han Yu
Summary: This study introduces a deep learning model based on HRV signals for early detection of congestive heart failure (CHF), with accuracy of 85.64%, 86.65% and 88.79% when utilizing 500, 1000 and 2000 RR intervals. The model enhances the UNet++ model with Squeeze-and-Excitation (SE) residual blocks to effectively distinguish CHF patients from normal subjects.
Article
Biophysics
Dirk Hoyer, Alexander Schmidt, Adelina Pytlik, Lukas Viehofer, Hernani Goncalves, Celia Amorim-Costa, Joao Bernardes, Diogo Ayres-de-Campos, Silvia M. Lobmaier, Uwe Schneider
Summary: This study investigates the transferability of established electrophysiological HRV indices to CTG recordings during the fetal maturation period. The results show that CTG can provide indices related to long-term regulation and models using HRV indices calculated from CTG allow for the identification of maturational age and discriminate fetal growth restriction (FGR) with almost similar precision as electrophysiological means. Further validation is needed to confirm the diagnostic potential of these CTG-specific HRV indices in monitoring fetal developmental disturbances.
PHYSIOLOGICAL MEASUREMENT
(2021)
Article
Psychology, Multidisciplinary
Mark Dust
Summary: A significant number of U.S. adults experience traumatic events, leading to millions of individuals developing PTSD and costing billions of dollars in healthcare. The Community Resilience Model (CRM) and Mental and Emotional Self-Management (MESM) were studied as potential solutions for PTSD resulting from traumatic events. This pilot study found that MESM had a short-term effect on cardiac vagal tone, but more research is needed to validate the results and explore the potential of physiological resilience to traumatic stress.
FRONTIERS IN PSYCHOLOGY
(2023)
Article
Cardiac & Cardiovascular Systems
Valeria Blesius, Christopher Schoelzel, Gernot Ernst, Andreas Dominik
Summary: Heart rate turbulence (HRT) is a heart rate pattern used to assess autonomic function and health risk. However, there are variations in the calculation of HRT parameters, particularly turbulence slope (TS). In this study, the impact of using different calculation parameters on HRT results was analyzed using a large dataset of annotated ECGs. The results showed that there was little difference in the number of valid sequences and risk classes when using different parameters. However, the difference between the averaged sequences and the standard sequence increased with larger calculation parameters. It is recommended to use a specific calculation parameter for HRT analysis.
FRONTIERS IN CARDIOVASCULAR MEDICINE
(2022)
Article
Nutrition & Dietetics
Max L. Eckstein, Paul Zimmermann, Maximilian P. Erlmann, Nadine B. Wachsmuth, Sandra Haupt, Rebecca T. Zimmer, Janis Schierbauer, Daniel Herz, Felix Aberer, Harald Sourij, Barbara Obermayer-Pietsch, Othmar Moser
Summary: This study investigated the impact of glucose and fructose supplementation on acute cardiac effects during cardiopulmonary exercise testing in young healthy individuals and found that different supplements did not significantly affect cardiac autonomic function.
Article
Psychology, Biological
Ali Gholamrezaei, Ilse Van Diest, Qasim Aziz, Johan W. S. Vlaeyen, Lukas Van Oudenhove
Summary: This study compared four deep breathing techniques and found that loaded breathing was associated with better cardiovascular effects, while pursed-lips breathing had better emotional responses. The findings suggest that different deep breathing techniques may have varying impacts on physiological and emotional states.
Article
Psychology, Developmental
Martin G. Frasch, Chao Shen, Hau-Tieng Wu, Alexander Mueller, Emily Neuhaus, Raphael A. Bernier, Dana Kamara, Theodore P. Beauchaine
Summary: The study examines altered heart rate variability (HRV) in children with autism spectrum disorder (ASD) compared to typically developing children and those with other psychiatric conditions. Using machine learning, specific time, frequency, and geometric signal-analytical domains for ASD were identified. Despite a small cohort and lack of external validation, results suggest the need for larger prospective studies to validate findings.
JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS
(2021)
Article
Psychology, Multidisciplinary
Meng Tao, Li Lu, Jingchuan Gao, Xiaolong He
Summary: This study compares the affect improvement between horticultural activities and green exercise and verifies the value of horticultural activities and green exercise in improving human affect and the importance of green plants. The results showed that having green horticulture can give the same intensity as green exercise and affect improvement. Green plants are the key factor in improving the affect of horticultural activities. People can choose between green exercise or horticultural activities based on their preferences and physical characteristics.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Health Care Sciences & Services
Grace Guan, Merav Mofaz, Gary Qian, Tal Patalon, Erez Shmueli, Dan Yamin, Margaret L. Brandeau
Summary: Wearable devices can detect physiological responses following COVID-19 vaccination that may not be captured by patient self-reporting. These devices are more sensitive than questionnaires in determining when participants returned to baseline levels. This has important implications for gathering improved data on patient health, including active surveillance of vaccine safety.
NPJ DIGITAL MEDICINE
(2022)