The Reliability of a 30-s Sprint Test on the Wattbike Cycle Ergometer

2013 ◽  
Vol 8 (4) ◽  
pp. 379-383 ◽  
Author(s):  
Matthew W. Driller ◽  
Christos K. Argus ◽  
Cecilia M. Shing
Keyword(s):  
Heart Rate ◽  
Blood Lactate ◽  
Peak Power ◽  
Intraclass Correlation ◽  
Correlation Coefficients ◽  
Cycle Ergometer ◽  
Maximum Heart Rate ◽  
Mean Power ◽  
Intraclass Correlation Coefficients ◽  
Error Of Measurement

Purpose:To determine the reliability of a 30-s sprint cycle test on the Wattbike cycle ergometer.Methods:Over 3 consecutive weeks, 11 highly trained cyclists (mean ± SD; age 31 ± 6 y, mass 74.6 ± 10.6 kg, height 180.5 ± 8.1cm) completed four 30-s maximal sprints on a Wattbike ergometer after a standardized warmup. The sprint test implemented a “rolling start” that consisted of a 60-s preload (at an intensity of 4.5 W/kg) before the 30-s maximal sprint. Variables determined across the duration of the sprint were peak power (Wpeak), mean power (Wmean), W/kg, mean cadence (rpm), maximum heart rate (n = 10), and postexercise blood lactate.Results:The average intraclass correlation coefficients between trials (2v1, 3v2, 4v3, 4v1) were Wpeak .97 (90%CI .94–.99), Wmean .99 (90%CI .97–1.00), W/kg .96 (90%CI .91–.98), mean cadence .96 (90%CI .92–.99), maximum heart rate .99 (90%CI .97–.99), and postexercise blood lactate .94 (90%CI .87–.98). The average typical error of measurement (expressed as a CV% and absolute value between trials—2v1, 3v2, 4v3, 4v1) was Wpeak 4.9%, 52.7 W; Wmean 2.4%, 19.2 W; W/kg 2.3%, 0.18 W/kg; mean cadence 1.4%, 1.6 rpm; maximum heart rate 0.9%, 1.6 beats/min; and postexercise blood lactate 4.6%, 0.48 mmol/L.Conclusion:A 30-s sprint test on the Wattbike cycle ergometer is highly reproducible in trained cyclists.

scholarly journals Using Smart Bracelets to Assess Heart Rate Among Students During Physical Education Lessons: Feasibility, Reliability, and Validity Study (Preprint)

2020 ◽  
Author(s):  
Jiangang Sun ◽  
Yang Liu
Keyword(s):  
Heart Rate ◽  
Physical Education ◽  
Intraclass Correlation ◽  
Reliability And Validity ◽  
Correlation Coefficients ◽  
Left Wrist ◽  
Intraclass Correlation Coefficients ◽  
Estimate Reliability ◽  
Left And Right ◽  
The Right

BACKGROUND An increasing number of wrist-worn wearables are being examined in the context of health care. However, studies of their use during physical education (PE) lessons remain scarce. OBJECTIVE We aim to examine the reliability and validity of the Fizzo Smart Bracelet (Fizzo) in measuring heart rate (HR) in the laboratory and during PE lessons. METHODS In Study 1, 11 healthy subjects (median age 22.0 years, IQR 3.75 years) twice completed a test that involved running on a treadmill at 6 km/h for 12 minutes and 12 km/h for 5 minutes. During the test, participants wore two Fizzo devices, one each on their left and right wrists, to measure their HR. At the same time, the Polar Team2 Pro (Polar), which is worn on the chest, was used as the standard. In Study 2, we went to 10 schools and measured the HR of 24 students (median age 14.0 years, IQR 2.0 years) during PE lessons. During the PE lessons, each student wore a Polar device on their chest and a Fizzo on their right wrist to measure HR data. At the end of the PE lessons, the students and their teachers completed a questionnaire where they assessed the feasibility of Fizzo. The measurements taken by the left wrist Fizzo and the right wrist Fizzo were compared to estimate reliability, while the Fizzo measurements were compared to the Polar measurements to estimate validity. To measure reliability, intraclass correlation coefficients (ICC), mean difference (MD), standard error of measurement (SEM), and mean absolute percentage errors (MAPE) were used. To measure validity, ICC, limits of agreement (LOA), and MAPE were calculated and Bland-Altman plots were constructed. Percentage values were used to estimate the feasibility of Fizzo. RESULTS The Fizzo showed excellent reliability and validity in the laboratory and moderate validity in a PE lesson setting. In Study 1, reliability was excellent (ICC>0.97; MD<0.7; SEM<0.56; MAPE<1.45%). The validity as determined by comparing the left wrist Fizzo and right wrist Fizzo was excellent (ICC>0.98; MAPE<1.85%). Bland-Altman plots showed a strong correlation between left wrist Fizzo measurements (bias=0.48, LOA=–3.94 to 4.89 beats per minute) and right wrist Fizzo measurements (bias=0.56, LOA=–4.60 to 5.72 beats per minute). In Study 2, the validity of the Fizzo was lower compared to that found in Study 1 but still moderate (ICC>0.70; MAPE<9.0%). The Fizzo showed broader LOA in the Bland-Altman plots during the PE lessons (bias=–2.60, LOA=–38.89 to 33.69 beats per minute). Most participants considered the Fizzo very comfortable and easy to put on. All teachers thought the Fizzo was helpful. CONCLUSIONS When participants ran on a treadmill in the laboratory, both left and right wrist Fizzo measurements were accurate. The validity of the Fizzo was lower in PE lessons but still reached a moderate level. The Fizzo is feasible for use during PE lessons.

Assessing Shortened Field-Based Heart-Rate-Variability-Data Acquisition in Team-Sport Athletes

2016 ◽  
Vol 11 (2) ◽  
pp. 154-158 ◽  
Author(s):  
Lucas A. Pereira ◽  
Andrew A. Flatt ◽  
Rodrigo Ramirez-Campillo ◽  
Irineu Loturco ◽  
Fabio Y. Nakamura
Keyword(s):  
Heart Rate ◽  
Time Course ◽  
Intraclass Correlation ◽  
Correlation Coefficients ◽  
Team Sport ◽  
Short Term ◽  
Intraclass Correlation Coefficients ◽  
Dependent Variables ◽  
Stabilization Period ◽  
Term Analysis

Purpose:To compare the LnRMSSD and the LnRMSSD:RR values obtained during a 5-min stabilization period with the subsequent 5-min criterion period and to determine the time course for LnRMSSD and LnRMSSD:RR stabilization at 1-min analysis in elite team-sport athletes.Participants:35 elite futsal players (23.9 ± 4.5 y, 174.2 ± 4.0 cm, 74.0 ± 7.5 kg, 1576.2 ± 396.3 m in the Yo-Yo test level 1).Methods:The RR-interval recordings were obtained using a portable heart-rate monitor continuously for 10 min in the seated position. The 2 dependent variables analyzed were LnRMSSD and LnRMSSD:RR. To calculate the magnitude of the differences between time periods, effect-size (ES) analysis was conducted. To assess the levels of agreement, intraclass correlation coefficients (ICC) and Bland-Altman plots were used.Results:The LnRMSSD and LnRMSSD:RR values obtained during the stabilization period (0–5 min) presented very large to nearly perfect ICCs with the values obtained during the criterion period (5–10 min), with trivial ESs. In the ultra-short-term analysis (ie, 1-min segments) the data showed slightly less accurate results, but only trivial to small differences with very large to nearly perfect ICCs were found.Conclusion:LnRMSSD and LnRMSSD:RR can be recorded in 5 min without traditional stabilization periods under resting conditions in team-sport athletes. The ultra-short-term analysis (1 min) also revealed acceptable levels of agreement with the criterion.

Running Economy Following an Intense Cycling Bout in Female Duathletes and Triathletes

1995 ◽  
Vol 4 (1) ◽  
pp. 29-39 ◽  
Author(s):  
Tracy Danner ◽  
Sharon Ann Plowman
Keyword(s):  
Blood Lactate ◽  
Intraclass Correlation ◽  
Correlation Coefficients ◽  
Systematic Difference ◽  
Running Economy ◽  
Vo2 Max ◽  
Intraclass Correlation Coefficients

The purpose of this study was to evaluate the influence of a preceding intense cycling bout on subsequent running economy in female duathletes and triathletes. Thirteen female duathletes and triathletes (age = 27.5 ± 3.36 yrs.) took part in three testing sessions: (a) measurement of running economy at 169, 177, 196, and 215 m·min−1 and running VO2 max; (b) remeasurement of running economy and measurement of cycling VO2 max; and (c) a 45 minute cycling bout at 70% of cycling VO2 max, immediately followed by measurement of running economy. Intraclass correlation coefficients between Day 1 and Day 2 running economy values ranged from 0.31 to 0.78. A systematic difference occurred at 169 m·min−1 only, with mean VO2 being higher on Day 1 than Day 2 (p<0.02). Based upon dependent t-tests, significantly higher running economy values (p<0.02) but not blood lactate concentrations (p>0.02) following the submaximal cycling bout compared to the control condition (mean of Day 1 and Day 2), at each of the four test velocities were found. Therefore we conclude that running economy was significantly impaired following a 45 minute intense cycling bout in female duathletes and triathletes, but lactate values remained constant.

scholarly journals Identifying Reliable and Relatable Force–Time Metrics in Athletes—Considerations for the Isometric Mid-Thigh Pull and Countermovement Jump

Sports ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 4
Author(s):  
Justin J. Merrigan ◽  
Jason D. Stone ◽  
W. Guy Hornsby ◽  
Joshua A. Hagen
Keyword(s):  
Intraclass Correlation ◽  
Correlation Coefficients ◽  
Division I ◽  
Countermovement Jump ◽  
Mean Power ◽  
Time To Peak ◽  
Intraclass Correlation Coefficients ◽  
Limb Stiffness ◽  
Coefficients Of Variation ◽  
Force Time

The purpose of this study was to evaluate intrasession reliability of countermovement jump (CMJ) and isometric mid-thigh pull (IMTP) force–time characteristics, as well as relationships between CMJ and IMTP metrics. Division I sport and club athletes (n = 112) completed two maximal effort CMJ and IMTP trials, in that order, on force plates. Relative and absolute reliability were assessed using intraclass correlation coefficients (ICCs) > 0.80 and coefficients of variation (CVs) < 10%. Intrasession reliability was acceptable for the majority of the CMJ force–time metrics except for concentric rate of force development (RFD), eccentric impulse and RFD, and lower limb stiffness. The IMTP’s time to peak force, instantaneous force at 150 ms, instantaneous net force, and RFD measures were not reliable. Statistically significant weak to moderate relationships (r = 0.20–0.46) existed between allometrically scaled CMJ and IMTP metrics, with the exception of CMJ eccentric mean power not being related with IMTP performances. A majority of CMJ and IMTP metrics met acceptable reliability standards, except RFD measures which should be used with caution. Provided CMJs and IMTPs are indicative of distinct physical fitness capabilities, it is suggested to monitor athlete performance in both tests via changes in those variables that demonstrate the greatest degree of reliability.

scholarly journals Alternative Devices for Heart Rate Variability Measures: A Comparative Test–Retest Reliability Study

2021 ◽  
Vol 11 (5) ◽  
pp. 68
Author(s):  
Jacquelin M. Killian ◽  
Rachel M. Radin ◽  
Cubby L. Gardner ◽  
Lalon Kasuske ◽  
Kylee Bashirelahi ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Intraclass Correlation ◽  
Correlation Coefficients ◽  
Operational Reliability ◽  
Intraclass Correlation Coefficients ◽  
Adult Participants ◽  
Detectable Difference ◽  
Assess Treatment Response ◽  
Test Retest Reliability

Using healthy adult participants, seven measures of heart rate variability were obtained simultaneously from four devices in five behavioral conditions. Two devices were ECG-based and two utilized photoplethysmography. The 140 numerical values (measure, condition, device) are presented. The comparative operational reliability of the four devices was assessed, and it was found that the two ECG-base devices were more reliable than the photoplethysmographic devices. The interchangeability of devices was assessed by determining the between-device Limits of Agreement. Intraclass correlation coefficients were determined and used to calculate the standard error of measurement and the Minimal Detectable Difference. The Minimal Detectable Difference, MDD, quantifies the smallest statistically significant change in a measure and is therefore critical when HRV measures are used longitudinally to assess treatment response or disease progression.

scholarly journals Using Smart Bracelets to Assess Heart Rate Among Students During Physical Education Lessons: Feasibility, Reliability, and Validity Study

10.2196/17699 ◽  
2020 ◽  
Vol 8 (8) ◽  
pp. e17699
Author(s):  
Jiangang Sun ◽  
Yang Liu
Keyword(s):  
Heart Rate ◽  
Physical Education ◽  
Intraclass Correlation ◽  
Reliability And Validity ◽  
Correlation Coefficients ◽  
Left Wrist ◽  
Intraclass Correlation Coefficients ◽  
Estimate Reliability ◽  
Left And Right ◽  
The Right

Background An increasing number of wrist-worn wearables are being examined in the context of health care. However, studies of their use during physical education (PE) lessons remain scarce. Objective We aim to examine the reliability and validity of the Fizzo Smart Bracelet (Fizzo) in measuring heart rate (HR) in the laboratory and during PE lessons. Methods In Study 1, 11 healthy subjects (median age 22.0 years, IQR 3.75 years) twice completed a test that involved running on a treadmill at 6 km/h for 12 minutes and 12 km/h for 5 minutes. During the test, participants wore two Fizzo devices, one each on their left and right wrists, to measure their HR. At the same time, the Polar Team2 Pro (Polar), which is worn on the chest, was used as the standard. In Study 2, we went to 10 schools and measured the HR of 24 students (median age 14.0 years, IQR 2.0 years) during PE lessons. During the PE lessons, each student wore a Polar device on their chest and a Fizzo on their right wrist to measure HR data. At the end of the PE lessons, the students and their teachers completed a questionnaire where they assessed the feasibility of Fizzo. The measurements taken by the left wrist Fizzo and the right wrist Fizzo were compared to estimate reliability, while the Fizzo measurements were compared to the Polar measurements to estimate validity. To measure reliability, intraclass correlation coefficients (ICC), mean difference (MD), standard error of measurement (SEM), and mean absolute percentage errors (MAPE) were used. To measure validity, ICC, limits of agreement (LOA), and MAPE were calculated and Bland-Altman plots were constructed. Percentage values were used to estimate the feasibility of Fizzo. Results The Fizzo showed excellent reliability and validity in the laboratory and moderate validity in a PE lesson setting. In Study 1, reliability was excellent (ICC>0.97; MD<0.7; SEM<0.56; MAPE<1.45%). The validity as determined by comparing the left wrist Fizzo and right wrist Fizzo was excellent (ICC>0.98; MAPE<1.85%). Bland-Altman plots showed a strong correlation between left wrist Fizzo measurements (bias=0.48, LOA=–3.94 to 4.89 beats per minute) and right wrist Fizzo measurements (bias=0.56, LOA=–4.60 to 5.72 beats per minute). In Study 2, the validity of the Fizzo was lower compared to that found in Study 1 but still moderate (ICC>0.70; MAPE<9.0%). The Fizzo showed broader LOA in the Bland-Altman plots during the PE lessons (bias=–2.60, LOA=–38.89 to 33.69 beats per minute). Most participants considered the Fizzo very comfortable and easy to put on. All teachers thought the Fizzo was helpful. Conclusions When participants ran on a treadmill in the laboratory, both left and right wrist Fizzo measurements were accurate. The validity of the Fizzo was lower in PE lessons but still reached a moderate level. The Fizzo is feasible for use during PE lessons.

Reliability of Alpine Ski Racing-Specific Field Test: The 80s-Slide-Test

2020 ◽  
pp. 1-6
Author(s):  
Valentin Bottollier ◽  
Matt R. Cross ◽  
Nicolas Coulmy ◽  
Loïc Le Quellec ◽  
Jacques Prioux
Keyword(s):  
Perceived Exertion ◽  
Intraclass Correlation ◽  
Correlation Coefficients ◽  
Cycle Ergometer ◽  
Borg Scale ◽  
Intraclass Correlation Coefficients ◽  
Rate Of Perceived Exertion ◽  
Slide Test ◽  
Test Retest Reliability ◽  
Ski Racers

Purpose: The purpose of this study was to determine the test–retest reliability of the 80s-slide-test in well-trained alpine ski racers. Methods: The sample consisted of 8 well-trained alpine ski racers (age = 17.8 [0.7] y old; height = 1.80 [0.09] m; body mass = 72.1 [9.5] kg) who performed a lab-based maximal graded test on cycle ergometer and three 80s-slide-tests in 4 separate sessions. The 80s-slide-test consisting of maximal push-offs performed for 80s on a 8-ft slide board. Oxygen uptake () and heart rate (HR) were recorded continuously. Blood lactate ([La]b) was determined immediately prerun, followed by 3 minutes postrun. Three minutes after the completion of the session, the subjects were asked to indicate their rate of perceived exertion using Borg scale ranging from 6 to 20. Total and every 10s mean push-offs number were assessed by camera. Typical errors of measurement, intraclass correlation coefficients, and smallest worthwhile change were calculated. Results: The 80s-slide-test showed strong reliability for total push-offs number, , , HRpeak, and HRmean. Δ[La]b, fatigue index, and the rate of perceived exertion were moderately reliable. Conclusion: The 80s-slide-test is a reliable test for well-trained alpine ski racers and can be used easily by trainers.

Validity and Reliability of the Cycleops Hammer Cycle Ergometer

2018 ◽  
Vol 13 (7) ◽  
pp. 853-859 ◽  
Author(s):  
José R. Lillo-Bevia ◽  
Jesús G. Pallarés
Keyword(s):  
Power Output ◽  
Intraclass Correlation ◽  
Correlation Coefficients ◽  
Cycle Ergometer ◽  
Validity And Reliability ◽  
Exercise Tests ◽  
Intraclass Correlation Coefficients ◽  
Graded Exercise ◽  
Marginal Values ◽  
Srm System

Purpose: To validate the new drive indoor trainer Hammer designed by Cycleops®. Methods: A total of 11 cyclists performed 44 randomized and counterbalanced graded exercise tests (100–500 W) at 70-, 85-, and 100-rpm cadences in seated and standing positions on 3 different Hammer units, while a scientific SRM system continuously recorded cadence and power output data. Results: No significant differences were detected between the 3 Hammer devices and the SRM for any workload, cadence, or pedaling condition (P value between 1.00 and .350), except for some minor differences (P = .03 and .04) found in the Hammer 1 at low workloads and for Hammer 2 and 3 at high workloads, all in seated position. Strong intraclass correlation coefficients were found between the power output values recorded by the Hammers and the SRM (≥.996; P = .001), independently from the cadence condition and seated position. Bland–Altman analysis revealed low bias (−5.5 to 3.8) and low SD of bias (2.5–5.3) for all testing conditions, except marginal values found for the Hammer 1 at high cadences and seated position (9.6 [6.6]). High absolute reliability values were detected for the 3 Hammers (150–500 W; coefficient of variation <1.2%; SEM <2.1). Conclusions: This new Cycleops trainer is a valid and reliable device to drive and measure power output in cyclists, providing an alternative to larger and more expensive laboratory ergometers and allowing cyclists to use their own bicycles.

Feasibility, Reliability, and Agreement of the WeeFIM Instrument in Dutch Children With Burns

2012 ◽  
Vol 92 (7) ◽  
pp. 958-966 ◽  
Author(s):  
Anuschka S. Niemeijer ◽  
Heleen A. Reinders-Messelink ◽  
Laurien M. Disseldorp ◽  
Marianne K. Nieuwenhuis
Keyword(s):  
Intraclass Correlation ◽  
Correlation Coefficients ◽  
Functional Independence ◽  
Intrarater Reliability ◽  
Burn Centers ◽  
Intraclass Correlation Coefficients ◽  
Functional Consequences ◽  
Standard Error Of Measurement ◽  
Dutch Children ◽  
Error Of Measurement

Background Burns occur frequently in young children. To date, insufficient data are available to fully describe the functional consequences of burns. In different patient populations and countries, the WeeFIM instrument (“WeeFIM”) often is used to measure functional independence in children. Objective The purpose of this study was to examine the psychometric properties of the WeeFIM instrument for use in Dutch burn centers. Design This was an observational study. Methods The WeeFIM instrument was translated into Dutch. All clinicians who rated the children with the instrument passed the WeeFIM credentialing examination. They scored consecutive children (n=134) aged 6 months to 16 years admitted to Dutch burn centers with acute burns during a 1-year period at 2 to 3 weeks, 3 months, and 6 months postburn. To examine reliability, 2 raters scored a child at the same time (n=52, 9 raters) or the same rater scored a child twice within 1 week (n=7, 3 raters). Results After a few weeks, the WeeFIM assessment could be administered in less than 15 minutes. Clinicians thought it was difficult to rate a child aged between 2 and 4 years as well as the cognitive items. Nevertheless, reliability was good (all intraclass correlation coefficients [1,1] were above .80). The standard error of measurement was 3.7. Limitations Intrarater reliability was based on only 7 test-retest measurements. Within our clinical setting, it turned out to be difficult to schedule the same rater and patient twice in one week for repeated assessments. Assessments for interrater reliability, on the other hand, worked out well. Conclusions The WeeFIM instrument is a feasible and reliable instrument for use in children with burns. For evaluation of a child's individual progress, at least 11 points' improvement should be observed to state that a child has significantly improved.

Ergometer-Specific Relationships between Peak Oxygen Uptake and Short-Term Power Output in Children

2005 ◽  
Vol 17 (2) ◽  
pp. 136-148 ◽  
Author(s):  
Saul R. Bloxham ◽  
Joanne R. Welsman ◽  
Neil Armstrong
Keyword(s):  
Oxygen Uptake ◽  
Peak Power ◽  
Correlation Coefficients ◽  
Peak Oxygen Uptake ◽  
Cycle Ergometer ◽  
Short Term ◽  
Mean Power ◽  
Related Data ◽  
Derived Data

This study examined ergometer-specific relationships between short-term power and peak oxygen uptake (peak VO2) in children. Boys (n = 28) and girls (n = 28) age 11-12 years completed two incremental tests to exhaustion on a cycle ergometer and motorized treadmill for the determination of peak VO2. In addition, they completed two 30 s “all-out” sprint tests, one on a cycle ergometer and one on a nonmotorized treadmill for the assessment of peak power (PP) and mean power (MP). Relationships between peak VO2 and shortterm power measures were examined by sex for cycle- and treadmill-derived data using simple per-body-mass ratios and sample-specific allometric exponents to control for body size differences. From correlational analyses on scaled data, sex differences in responses were shown. In boys, PP and MP were unrelated to peak VO2 for cycle-derived measures but significantly related (r = 0.58 PP; r = 0.69 MP) for treadmill values. PP and MP were significantly related to peak VO2 for both modes of exercise in girls (r = .41−.68). In all but one case, correlation coefficients based on mass-related data were higher than those based on allometrically adjusted data.

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