Comparison of novel wearable cardiac monitors to yield accurate exercising ECG and heart rate data in horses

2021 ◽  
pp. 1-10
Author(s):  
J. Haughan ◽  
M. Manriquez ◽  
N.D. Cohen ◽  
M.A. Robinson ◽  
C. Navas de Solis
Keyword(s):  
Heart Rate ◽  
High Speed ◽  
Large Scale ◽  
A Priori ◽  
Wearable Devices ◽  
Maximal Heart Rate ◽  
Exercise Tests ◽  
Diagnostic Quality ◽  
Telemetry Unit ◽  
User Friendly

Exercise associated deaths (EADs) in horses are a problem for the equestrian industry. Sudden death (SD) is responsible for approximately 20% of EADs. The underlying cause of SD is suspected to be cardiovascular disease but often cannot be determined post-mortem. User-friendly cardiac monitors are needed for large scale investigations of arrhythmias associated with SD in horses. We hypothesised that novel wearable devices would provide exercising electrocardiograms (ECGs) of sufficient diagnostic quality for this purpose. Diagnostic quality of ECGs generated by two wearable devices (W2nd™ and Polar Equine™) were compared to simultaneous recordings with a telemetry unit (Televet™) in 5 Thoroughbreds completing 43 separate submaximal exercise tests on a high-speed treadmill. Maximal heart rate (HRmax) generated by mobile applications (HRmaxapp), HRmax after manual correction (HRmaxcorr), percentage of diagnostic ECGs (%diag) at the gallop, and overall quality assessed by visual analogue scale (VAS) were assessed by a blinded observer. HRmaxcorr did not differ significantly between groups. HRmaxapp was significantly lower for W2nd (166.8/min, 95% confidence interval (CI): 160.5-173.1/min) but did not differ significantly between Televet (178.8/min 95% CI: 165.8-191.1/min) and Polar (181.3/min, 95% CI: 174.5-188.1/min). HRmaxcorr was accurate and precise in all runs. HRmaxapp was within a priori limits of agreement in 16/23 W2nd and 18/19 Polar recordings. %diag was significantly lower (77.1%, 95% CI: 67.4-86.8) for W2nd than Polar (100%, 95% CI: 89.9-110.3). VAS was lower for W2nd (46.2, 95% CI: 35.5-57.0) than Polar (90.6, 25% CI: 79.4-101.9). In conclusion, wearable devices appear to be promising tools for investigation of equine exercising arrhythmias in large-scale studies.

No effect of menstrual cycle phase on lactate threshold

2003 ◽  
Vol 95 (6) ◽  
pp. 2537-2543 ◽  
Author(s):  
Teresa M. Dean ◽  
Leigh Perreault ◽  
Robert S. Mazzeo ◽  
Tracy J. Horton
Keyword(s):  
Heart Rate ◽  
Menstrual Cycle ◽  
Lactate Threshold ◽  
Maximal Exercise ◽  
Lactate Concentration ◽  
Cycle Phase ◽  
Maximal Heart Rate ◽  
Menstrual Cycle Phase ◽  
Exercise Tests ◽  
Normal Menstrual Cycle

No previous exercise studies in women have assessed the effects of the normal menstrual cycle on the lactate threshold (LT) measured during a graded, maximal exercise test. This is relevant to our understanding of exercise training and metabolism in eumenorrheic women. The present study, therefore, examined the effect of menstrual cycle phase on the LT. Eight moderately active, eumenorrheic women performed three maximal exercise tests with simultaneous determination of LT. Tests were performed in the early follicular (low estrogen and progesterone), midfollicular (elevated estrogen and low progesterone), and midluteal (elevated estrogen and progesterone) phases of the menstrual cycle. No significant differences were observed in LT measured across phases of the menstrual cycle whether data were expressed in absolute terms (1,299 ± 70, 1,364 ± 80, and 1,382 ± 71 ml O2/min, respectively) or relative to maximal oxygen uptake (V̇o2 max; 52.1 ± 1.7, 54.7 ± 1.7, and 55.7 ± 1.6%, respectively). In addition, there were no significant cycle phase differences in V̇o2 max, maximal heart rate, heart rate at LT, or final lactate concentration. With data combined across all phases of the menstrual cycle, there was a significant correlation between the LT and the epinephrine breakpoint ( r = 0.91, P < 0.0002) and norepinephrine breakpoint ( r = 0.94, P < 0.0001). For epinephrine only, there was close correspondence between the epinephrine breakpoint (ml O2/min) and the LT. In conclusion, LT as well as V̇o2 max and other measures of cardiorespiratory fitness are not significantly affected by the changing sex steroid levels observed across the normal menstrual cycle. Data suggest that the onset of the steep increase in epinephrine determines the LT during graded exercise.

scholarly journals Multi-task deep learning for cardiac rhythm detection in wearable devices

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Jessica Torres-Soto ◽  
Euan A. Ashley
Keyword(s):  
Atrial Fibrillation ◽  
Heart Rate ◽  
Deep Learning ◽  
Biomedical Applications ◽  
Large Scale ◽  
High Sensitivity ◽  
Wearable Devices ◽  
Replication Cohort ◽  
Data Problem

Abstract Wearable devices enable theoretically continuous, longitudinal monitoring of physiological measurements such as step count, energy expenditure, and heart rate. Although the classification of abnormal cardiac rhythms such as atrial fibrillation from wearable devices has great potential, commercial algorithms remain proprietary and tend to focus on heart rate variability derived from green spectrum LED sensors placed on the wrist, where noise remains an unsolved problem. Here we develop DeepBeat, a multitask deep learning method to jointly assess signal quality and arrhythmia event detection in wearable photoplethysmography devices for real-time detection of atrial fibrillation. The model is trained on approximately one million simulated unlabeled physiological signals and fine-tuned on a curated dataset of over 500 K labeled signals from over 100 individuals from 3 different wearable devices. We demonstrate that, in comparison with a single-task model, our architecture using unsupervised transfer learning through convolutional denoising autoencoders dramatically improves the performance of atrial fibrillation detection from a F1 score of 0.54 to 0.96. We also include in our evaluation a prospectively derived replication cohort of ambulatory participants where the algorithm performed with high sensitivity (0.98), specificity (0.99), and F1 score (0.93). We show that two-stage training can help address the unbalanced data problem common to biomedical applications, where large-scale well-annotated datasets are hard to generate due to the expense of manual annotation, data acquisition, and participant privacy.

scholarly journals Do Obese Children Achieve Maximal Heart Rate during Treadmill Running?

Sports ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 26
Author(s):  
Sveinung Berntsen ◽  
Elisabeth Edvardsen ◽  
Shlomi Gerbi ◽  
Magnhild Kolsgaard ◽  
Sigmund Anderssen
Keyword(s):  
Heart Rate ◽  
Children And Adolescents ◽  
Perceived Exertion ◽  
Treadmill Running ◽  
Maximal Heart Rate ◽  
Obese Children ◽  
Peak Heart Rate ◽  
Exercise Tests ◽  
Active Play ◽  
Maximal Effort

Objective: Maximal heart rate (HR) is commonly defined as the highest HR obtained during a progressive exercise test to exhaustion. Maximal HR is considered one of the criteria to assess maximum exertion in exercise tests, and is broadly used when prescribing exercise intensity. The aim of the present study was to compare peak HR measurements during maximal treadmill running and active play in obese children and adolescents. Design: Comparison of peak heart rate during active play vs. maximal treadmill running in 39 (7–17 years old, 18 males) obese children and adolescents. Methods: Heart rate was recorded during intensive active play sessions, as well as during a progressive running test on a treadmill until exhaustion. HR, respiratory exchange ratio (RER), and oxygen uptake were continuously measured during the test. The criteria for having reached maximal effort was a subjective assessment by the technician that the participants had reached his or her maximal effort, and a RER above 1.00 or reporting perceived exertion (RPE) above 17 using the Borg-RPE6–20-Scale. Results: Thirty-four children had a RER ≥1.00, and 37 reported a RPE ≥ 17. Thirty-two children fulfilled both criteria. During active play, peak HR was significantly (p < 0.0001) increased (4%) (mean and 95% confidence intervals; 204 (201, 207) beats/min), compared to during maximal treadmill running (196 (194, 199) beats/min), respectively. Conclusion: The results of the present study indicate that peak heart rate measurements during progressive running to exhaustion in obese children and adolescents cannot necessarily be determined as maximal heart rate.

scholarly journals Reference values for peak oxygen uptake: cross-sectional analysis of cycle ergometry-based cardiopulmonary exercise tests of 10 090 adult German volunteers from the Prevention First Registry

BMJ Open ◽  
2018 ◽  
Vol 8 (3) ◽  
pp. e018697 ◽  
Author(s):  
Daniel Rapp ◽  
Jürgen Scharhag ◽  
Stefan Wagenpfeil ◽  
Johannes Scholl
Keyword(s):  
Heart Rate ◽  
Oxygen Uptake ◽  
Reference Values ◽  
Peak Oxygen Uptake ◽  
Cycle Ergometry ◽  
Maximal Heart Rate ◽  
Exercise Tests ◽  
Cross Sectional ◽  
Men And Women ◽  
Cardiopulmonary Exercise

ObjectiveThis study aims to construct quantile reference values for peak oxygen uptake (V̇O2peak) measured by cycle ergometry-based incremental cardiopulmonary exercise tests.DesignCross-sectional study using quantile regressions to fit sex-specific and age-specific quantile curves. Exercise tests were conducted using cycle ergometry. Maximal effort in the exercise tests was assumed when respiratory exchange ratio  ≥1.1 or lactate ≥8 mmol/L or maximal heart rate ≥90% of the age-predicted maximal heart rate. This was assessed retrospectively for a random subsample with an a priori calculated sample size of n=252 participants.SettingA network of private outpatient clinics in three German cities recorded the results of cycle ergometry-based cardiopulmonary exercise tests to a central database (Prevention First Registry) from 2001 to 2015.Participants10 090 participants (6462 men, 3628 women) from more than 100 local companies volunteered in workplace health promotion programmes. Participants were aged 21 to 83 years, were free of acute complaints and had primarily sedentary working environments.Main outcome measurePeak oxygen uptake was measured as absolute V̇O2peakin litres of oxygen per minute and relative V̇O2peakin millilitres of oxygen per kilogram of body mass per minute.ResultsThe mean age for both men and women was 46 years. Median relative V̇O2peakwas 36 and 30 mL/kg/min at 40 to 49 years, as well as 32 and 26 mL/kg/min at 50 to 59 years for men and women, respectively. An estimated proportion of 97% of the participants performed the exercise test until exertion.ConclusionsReference values and nomograms for V̇O2peakwere derived from a large sample of preventive healthcare examinations of healthy white-collar workers. The presented results can be applied to participants of exercise tests using cycle ergometry who are part of a population that is comparable to this study.

scholarly journals Predictive maximal heart rate equations in child and adolescent athletes: a systematic review

2018 ◽  
Vol 31 (0) ◽  
Author(s):  
Anderson Sartor Pedroni ◽  
Aniuska Schiavo ◽  
Eléia de Macedo ◽  
Natália E de Campos ◽  
Aline Dill Winck ◽  
...  
Keyword(s):  
Systematic Review ◽  
Heart Rate ◽  
Exercise Testing ◽  
Exercise Test ◽  
Child And Adolescent ◽  
Maximal Heart Rate ◽  
Adolescent Athletes ◽  
Exercise Tests ◽  
Predictive Equations ◽  
Cardiopulmonary Exercise

Abstract Introduction: The maximal heart rate (HRmax) is considered the highest value of HR achieved during a physical effort close to exhaustion. Objective: To evaluate the applicability of the predictive HRmax equations during exercise tests in child and adolescent athletes through a systematic review. Methods: It is a systematic review, through Scopus, Pubmed, Lilacs, Scielo and PEDro. The included studies compared the measured and estimated HRmax predictive equations during exercise tests in child and adolescent athletes. The following search strategy was used: “Exercise test OR Exercise testing OR Cardiopulmonary exercise test OR Cardiopulmonary exercise testing OR Peak oxygen uptake OR Maximal oxygen consumption OR Exercise capacity OR Heart rate OR Heart rate OR Pulse rate OR Pulse rates OR Heart rate control OR Cardiac chronotropic OR Predictive value test AND Predictive equations”. Results: From a total of 1,664 articles, only 4 were included. All compared the measured HRmax values with those estimated by the “220 - age” equation; 3 used the formula “208 - (0.7 x age)”, and only 1 used the “223 - (1.44 x age)” equation. Although all of them stated that the “220 - age” equation overestimates HRmax, the formula “208 - (0.7 x age”) underestimated (2 articles) and overestimated (1 study) the measured results, while the equation “213 - (1.44 x age) was also not adequate. Conclusion: The use of predictive HRmax equations for child and adolescent athletes does not seem to be recommended. The use of cohort points for these estimates is carefully recommended.

PREDICTING MAXIMAL HEART RATE THROUGH SUBMAXIMAL EXERCISE TESTS

2005 ◽  
Vol 25 (5) ◽  
pp. 290
Author(s):  
Andrea L. V??vere ◽  
Carl Foster ◽  
Glen Brice ◽  
Raymond Martinez ◽  
John P. Porcari
Keyword(s):  
Heart Rate ◽  
Submaximal Exercise ◽  
Maximal Heart Rate ◽  
Exercise Tests

scholarly journals Effect of Training Load on Post-Exercise Cardiac Troponin T Elevations in Young Soccer Players

2019 ◽  
Vol 16 (23) ◽  
pp. 4853 ◽  
Author(s):  
Rafel Cirer-Sastre ◽  
Alejandro Legaz-Arrese ◽  
Francisco Corbi ◽  
Isaac López-Laval ◽  
Jose Puente-Lanzarote ◽  
...  
Keyword(s):  
Heart Rate ◽  
Cardiac Troponin ◽  
High Speed ◽  
Troponin T ◽  
Training Load ◽  
Soccer Players ◽  
Cardiac Troponin T ◽  
Maximal Heart Rate ◽  
Post Exercise ◽  
Player Tracking

Training load (TL) metrics are usually assessed to estimate the individual, physiological and psychological, acute, and adaptive responses to training. Cardiac troponins (cTn) reflect myocardial damage and are routinely analyzed for the clinical diagnosis of myocardial injury. The association between TL and post-exercise cTn elevations is scarcely investigated in young athletes, especially after playing common team sports such as soccer. The objective of this study was to assess the relationship between TL measurements during a small-sided soccer game and the subsequent increase in cTn in young players. Twenty male soccer players (age 11.9 ± 2 years, height 151 ± 13 cm, weight 43 ± 13 kg) were monitored during a 5 × 5 small-sided game and had blood samples drawn before, immediately after, and 3 h after exercise for a posterior analysis of high-sensitivity cardiac troponin T (hs-cTnT). Internal, external, and mixed metrics of TL were obtained from the rating of perceived exertion (RPE), heart rate (HR), and GPS player tracking. The results show that the concentration of hs-cTnT peaked at 3 h post-exercise in all participants. The magnitude of hs-cTnT elevation was mainly explained by the exercise duration in the maximal heart rate zone (Maximum Probability of Effect (MPE) = 92.5%), time in the high-speed zone (MPE = 90.4 %), and distance in the high-speed zone (MPE = 90.45%). Our results support the idea that common metrics of TL in soccer, easily obtained using player tracking systems, are strongly associated with the release of hs-cTnT in children and adolescents.

scholarly journals ccNetViz: a WebGL-based JavaScript library for visualization of large networks

2020 ◽  
Vol 36 (16) ◽  
pp. 4527-4529
Author(s):  
Ales Saska ◽  
David Tichy ◽  
Robert Moore ◽  
Achilles Rasquinha ◽  
Caner Akdas ◽  
...  
Keyword(s):  
Systems Biology ◽  
Complex Networks ◽  
Open Source ◽  
High Speed ◽  
A Priori ◽  
Supplementary Information ◽  
Network Visualization ◽  
Supplementary Data ◽  
Web Based ◽  
Flow Of Information

Abstract Summary Visualizing a network provides a concise and practical understanding of the information it represents. Open-source web-based libraries help accelerate the creation of biologically based networks and their use. ccNetViz is an open-source, high speed and lightweight JavaScript library for visualization of large and complex networks. It implements customization and analytical features for easy network interpretation. These features include edge and node animations, which illustrate the flow of information through a network as well as node statistics. Properties can be defined a priori or dynamically imported from models and simulations. ccNetViz is thus a network visualization library particularly suited for systems biology. Availability and implementation The ccNetViz library, demos and documentation are freely available at http://helikarlab.github.io/ccNetViz/. Supplementary information Supplementary data are available at Bioinformatics online.

Do elite soccer players cover longer distance when losing? Differences between attackers and defenders

2020 ◽  
pp. 174795412098227
Author(s):  
Carlos Lago-Peñas ◽  
Anton Kalén ◽  
Miguel Lorenzo-Martinez ◽  
Roberto López-Del Campo ◽  
Ricardo Resta ◽  
...  
Keyword(s):  
New York ◽  
High Speed ◽  
Large Scale ◽  
Tracking System ◽  
Soccer Players ◽  
Running Performance ◽  
Situational Variables ◽  
Total Distance ◽  
Professional Soccer ◽  
Score Line

This study aimed to evaluate the effects playing position, match location (home or away), quality of opposition (strong or weak), effective playing time (total time minus stoppages), and score-line on physical match performance in professional soccer players using a large-scale analysis. A total of 10,739 individual match observations of outfield players competing in the Spanish La Liga during the 2018–2019 season were recorded using a computerized tracking system (TRACAB, Chyronhego, New York, USA). The players were classified into five positions (central defenders, players = 94; external defenders, players = 82; central midfielders, players = 101; external midfielders, players = 72; and forwards, players = 67) and the following match running performance categories were considered: total distance covered, low-speed running (LSR) distance (0–14 km · h−1), medium-speed running (MSR) distance (14–21 km · h−1), high-speed running (HSR) distance (>21 km · h−1), very HSR (VHSR) distance (21–24 km · h−1), sprint distance (>24 km · h−1) Overall, match running performance was highly dependent on situational variables, especially the score-line condition (winning, drawing, losing). Moreover, the score-line affected players running performance differently depending on their playing position. Losing status increased the total distance and the distance covered at MSR, HSR, VHSR and Sprint by defenders, while attacking players showed the opposite trend. These findings may help coaches and managers to better understand the effects of situational variables on physical performance in La Liga and could be used to develop a model for predicting the physical activity profile in competition.

Sign in / Sign up

Export Citation Format

Share Document