[HTML][HTML] From two competing oscillators to one coupled-clock pacemaker cell system

Y Yaniv, EG Lakatta, VA Maltsev - Frontiers in physiology, 2015 - frontiersin.org
At the beginning of this century, debates regarding “what are the main control mechanisms
that ignite the action potential (AP) in heart pacemaker cells” dominated the …

Cardiac pacemaker activity and aging

CH Peters, EJ Sharpe, C Proenza - Annual review of physiology, 2020 - annualreviews.org
A progressive decline in maximum heart rate (mHR) is a fundamental aspect of aging in
humans and other mammals. This decrease in mHR is independent of gender, fitness, and …

PhysioZoo: a novel open access platform for heart rate variability analysis of mammalian electrocardiographic data

JA Behar, AA Rosenberg, I Weiser-Bitoun… - Frontiers in …, 2018 - frontiersin.org
Background: The time variation between consecutive heartbeats is commonly referred to as
heart rate variability (HRV). Loss of complexity in HRV has been documented in several …

Signatures of the autonomic nervous system and the heart's pacemaker cells in canine electrocardiograms and their applications to humans

AA Rosenberg, I Weiser-Bitoun, GE Billman… - Scientific Reports, 2020 - nature.com
Heart rate and heart rate variability (HRV) are mainly determined by the autonomic nervous
system (ANS), which interacts with receptors on the sinoatrial node (SAN; the heart's primary …

Overexpression of a neuronal type adenylyl cyclase (type 8) in sinoatrial node markedly impacts heart rate and rhythm

JM Moen, MG Matt, C Ramirez, KV Tarasov… - Frontiers in …, 2019 - frontiersin.org
Heart rate (HR) and HR variability (HRV), predictors of over-all organism health, are widely
believed to be driven by autonomic input to the sinoatrial node (SAN), with sympathetic input …

The role of sympathetic and vagal cardiac control on complexity of heart rate dynamics

LEV Silva, CAA Silva, HC Salgado… - American Journal of …, 2017 - journals.physiology.org
Analysis of heart rate variability (HRV) by nonlinear approaches has been gaining interest
due to their ability to extract additional information from heart rate (HR) dynamics that are not …

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

KS Na, SE Cho, SJ Cho - Journal of Affective Disorders, 2021 - Elsevier
Backgrounds Panic disorder is a highly prevalent psychiatric disorder that substantially
impairs quality of life and psychosocial function. Panic disorder arises from neurobiological …

Beat-to-beat patterning of sinus rhythm reveals non-linear rhythm in the dog compared to the human

NS Moïse, WH Flanders, R Pariaut - Frontiers in Physiology, 2020 - frontiersin.org
The human and dog have sinus arrhythmia; however, the beat-to-beat interval changes
were hypothesized to be different. Geometric analyses (R–R interval tachograms, dynamic …

Deterioration of autonomic neuronal receptor signaling and mechanisms intrinsic to heart pacemaker cells contribute to age‐associated alterations in heart rate …

Y Yaniv, I Ahmet, K Tsutsui, J Behar, JM Moen… - Aging …, 2016 - Wiley Online Library
We aimed to determine how age‐associated changes in mechanisms extrinsic and intrinsic
to pacemaker cells relate to basal beating interval variability (BIV) reduction in vivo. Beating …

Influence of heart rate in non-linear HRV indices as a sampling rate effect evaluated on supine and standing

J Bolea, E Pueyo, M Orini, R Bailón - Frontiers in physiology, 2016 - frontiersin.org
The purpose of this study is to characterize and attenuate the influence of mean heart rate
(HR) on nonlinear heart rate variability (HRV) indices (correlation dimension, sample, and …