A narrative review for a machine learning application in sports: an example based on injury forecasting in soccer
In the last decade, the number of studies about machine learning algorithms applied to
sports, eg, injury forecasting and athlete performance prediction, have rapidly increased …
sports, eg, injury forecasting and athlete performance prediction, have rapidly increased …
[HTML][HTML] The use of heart rate variability in esports: A systematic review
Heart rate variability (HRV) is a psychophysiological measure of particular interest in esports
due to its potential to monitor player self-regulation. This study aimed to systematically …
due to its potential to monitor player self-regulation. This study aimed to systematically …
[HTML][HTML] Validity and reliability of different smartphones applications to measure HRV during short and ultra-short measurements in elite athletes
M Moya-Ramon, M Mateo-March… - Computer Methods and …, 2022 - Elsevier
Background and objective Heart rate variability (HRV) has been proposed as a useful
marker that can show the performance adaptation and optimize the training process in elite …
marker that can show the performance adaptation and optimize the training process in elite …
[HTML][HTML] FLIRT: A feature generation toolkit for wearable data
Abstract Background and Objective: Researchers use wearable sensing data and machine
learning (ML) models to predict various health and behavioral outcomes. However, sensor …
learning (ML) models to predict various health and behavioral outcomes. However, sensor …
[HTML][HTML] Efficacy of Zemedy, a mobile digital therapeutic for the self-management of irritable bowel syndrome: crossover randomized controlled trial
M Hunt, S Miguez, B Dukas, O Onwude… - JMIR mHealth and …, 2021 - mhealth.jmir.org
Background: Patients with irritable bowel syndrome (IBS) experience abdominal pain,
altered bowel habits, and defecation-related anxiety, which can result in reduced …
altered bowel habits, and defecation-related anxiety, which can result in reduced …
The impact of healthy pregnancy on features of heart rate variability and pulse wave morphology derived from wrist-worn photoplethysmography
Due to the association between dysfunctional maternal autonomic regulation and pregnancy
complications, tracking non-invasive features of autonomic regulation derived from wrist …
complications, tracking non-invasive features of autonomic regulation derived from wrist …
[HTML][HTML] Driver monitoring of automated vehicles by classification of driver drowsiness using a deep convolutional neural network trained by scalograms of ECG …
S Arefnezhad, A Eichberger, M Frühwirth, C Kaufmann… - Energies, 2022 - mdpi.com
Driver drowsiness is one of the leading causes of traffic accidents. This paper proposes a
new method for classifying driver drowsiness using deep convolution neural networks …
new method for classifying driver drowsiness using deep convolution neural networks …
Robust PPG-based mental workload assessment system using wearable devices
Heart rate variability (HRV) has been used in assessing mental workload (MW) level.
Compared with ECG, photoplethysmogram (PPG) provides convenient in assessing MW …
Compared with ECG, photoplethysmogram (PPG) provides convenient in assessing MW …
Immersive virtual reality influences physiologic responses to submaximal exercise: a randomized, crossover trial
Objectives: This cross-sectional, randomly assigned study aimed to assess the influence of
immersive virtual reality (VR) on exercise tolerance expressed as the duration of a …
immersive virtual reality (VR) on exercise tolerance expressed as the duration of a …
Effects of missing data on heart rate variability metrics
Heart rate variability (HRV) has been studied for decades in clinical environments. Currently,
the exponential growth of wearable devices in health monitoring is leading to new …
the exponential growth of wearable devices in health monitoring is leading to new …