Heart rate variability in psychology: A review of HRV indices and an analysis tutorial

T Pham, ZJ Lau, SHA Chen, D Makowski - Sensors, 2021 - mdpi.com
The use of heart rate variability (HRV) in research has been greatly popularized over the
past decades due to the ease and affordability of HRV collection, coupled with its clinical …

Cardiac autonomic responses during exercise and post-exercise recovery using heart rate variability and systolic time intervals—a review

S Michael, KS Graham, GM Davis - Frontiers in physiology, 2017 - frontiersin.org
Cardiac parasympathetic activity may be non-invasively investigated using heart rate
variability (HRV), although HRV is not widely accepted to reflect sympathetic activity …

Validity of the polar H10 sensor for heart rate variability analysis during resting state and incremental exercise in recreational men and women

M Schaffarczyk, B Rogers, R Reer, T Gronwald - Sensors, 2022 - mdpi.com
Heart rate variability (HRV) is frequently applied in sport-specific settings. The rising use of
freely accessible applications for its recording requires validation processes to ensure …

The inefficiency of Bitcoin revisited: A dynamic approach

AF Bariviera - Economics Letters, 2017 - Elsevier
This letter revisits the informational efficiency of the Bitcoin market. In particular we analyze
the time-varying behavior of long memory of returns on Bitcoin and volatility 2011 until 2017 …

Affective computing in virtual reality: emotion recognition from brain and heartbeat dynamics using wearable sensors

J Marín-Morales, JL Higuera-Trujillo, A Greco… - Scientific reports, 2018 - nature.com
Affective Computing has emerged as an important field of study that aims to develop
systems that can automatically recognize emotions. Up to the present, elicitation has been …

Teleconnections among tip** elements in the Earth system

T Liu, D Chen, L Yang, J Meng, Z Wang… - Nature Climate …, 2023 - nature.com
Tip** elements are components of the Earth system that may shift abruptly and irreversibly
from one state to another at specific thresholds. It is not well understood to what degree …

Some stylized facts of the Bitcoin market

AF Bariviera, MJ Basgall, W Hasperué… - Physica A: Statistical …, 2017 - Elsevier
In recent years a new type of tradable assets appeared, generically known as
cryptocurrencies. Among them, the most widespread is Bitcoin. Given its novelty, this paper …

Deep learning for obstructive sleep apnea diagnosis based on single channel oximetry

J Levy, D Álvarez, F Del Campo, JA Behar - Nature Communications, 2023 - nature.com
Obstructive sleep apnea (OSA) is a serious medical condition with a high prevalence,
although diagnosis remains a challenge. Existing home sleep tests may provide acceptable …

Advances in heart rate variability signal analysis: joint position statement by the e-Cardiology ESC Working Group and the European Heart Rhythm Association co …

R Sassi, S Cerutti, F Lombardi, M Malik… - Ep …, 2015 - academic.oup.com
Following the publication of the Task Force document on heart rate variability (HRV) in 1996,
a number of articles have been published to describe new HRV methodologies and their …

[HTML][HTML] Machine-learning-based diagnostics of EEG pathology

LAW Gemein, RT Schirrmeister, P Chrabąszcz… - NeuroImage, 2020 - Elsevier
Abstract Machine learning (ML) methods have the potential to automate clinical EEG
analysis. They can be categorized into feature-based (with handcrafted features), and end-to …