scholarly journals Validity of Apple Watch Heart Rate Sensor Compared to Polar H10 Heart Rate Monitor [Georgia College and State University]

2019 ◽  
Author(s):  
Lorin Weaver ◽  
Taylor Wooden ◽  
Jake Grazer
Keyword(s):  
Heart Rate ◽  
Perceived Exertion ◽  
Healthcare Systems ◽  
Rating Of Perceived Exertion ◽  
State University ◽  
Heart Rate Monitor ◽  
Heart Rate Monitors ◽  
New Era ◽  
Know How ◽  
Rate Sensor

Introduction: In this day and age, technology is progressing faster than people know how to keep ahead of the advancements. The new era of technology and smartwatches can be a great benefit to healthcare systems around the world. They can be used for weight management, tracking aerobic exercise, and tracking heart rate. However, if smartwatches can be trusted to accurately help people in their everyday lives, then why aren’t doctors and trainers incorporating them into their outpatient instructions? Consequently, the purpose of this study is to observe the accuracy of Apple Watches and to assess if they are as reliable as the Polar Heart Monitors that can be found in exercise testing labs. Methods: Nine college-aged males and six females participated in the YMCA cycle submaximal test while wearing both a Polar Heart Rate Monitor (H10) and a series 3 or 4 Apple Watch to compare the accuracy of the Apple Watch device.  Heart rate and rating of perceived exertion were taken during each stage of testing. Paired sample t-tests were used to compare the heart rate readings in each stage. Results: There was no statistical difference between the Apple Watch heart rate reading and the Polar Heart Monitor (p > 0.05).Discussion: Based on the results regarding heart rate through the different stages of the YMCA submaximal test, it appears as though the Apple Watch is comparable to the chest strap monitor during cycling. Previous research has shown similar findings during exercise on a treadmill, indicating that the chest strap and Apple Watch measured similar heart rate values (Gillinov et al., 2017) . Based on the findings of this study, it appears Apple Watch heart rate technology is comparable to chest strap heart rate monitors during various modes of physical activity.

scholarly journals Cardiovascular Responses, Physical Activity Intensity, and Enjoyment Level of Nintendo Switch™ Exergaming, Comparing Different Tempos and Playing Modes: A Pilot Study

2021 ◽  
Vol 3 (2) ◽  
pp. 44
Author(s):  
Bayu Aji Mayogya Putra ◽  
Reni Hendrarati Masduchi ◽  
Martha Kurnia Kusumawardani
Keyword(s):  
Physical Activity ◽  
Blood Pressure ◽  
Heart Rate ◽  
Perceived Exertion ◽  
Cardiovascular Responses ◽  
Rating Of Perceived Exertion ◽  
Physical Activity Intensity ◽  
Activity Intensity ◽  
Before And After ◽  
Rate Sensor

Background: Physical activity (PA) has been associated with multiple health benefits. However, the global population does not meet the PA recommendations. Virtual reality exergaming (VR EXG) can become an option to increase PA because it is fun, relatively easy to access and affordable through popular commercial devices.Aim: To investigate the immediate cardiovascular responses(blood pressure, heart rate), quantification of PA intensity(percentage of maximum heart rate (%HRmax), Borg’s rating of perceived exertion (RPE), and the level of enjoyment using visual analog scale (VAS) while playing VR EXG.Material and Methods: Fifteen healthy men (aged 31.87±3.14 years old, body mass index 23.77±2.47 kg/m2) undergone three“Fitness Boxing” Nintendo Switch™ playing modes in the same order: (1) single player-normal tempo, (2) single player-fast tempo and (3) versus. During playing, participant’s HR was monitored using Polar H10 heart rate sensor. Blood pressure was measured before and after playing. Borg’s RPE and VAS were collected after playing.Results: Our results showed significant heart rate and systolic blood pressure increase (p = 0.001) in all three playing conditions, whereas diastolic blood pressure was relatively constant (p > 0.05). The Borg’s RPE were in 12-13 range (moderate) and %HRmax range between 72- 81% (vigorous). The enjoyment level was found greatest in versus mode compared to other playing modes.Conclusion: VR EXG Nintendo Switch™ “Fitness Boxing” can elicit immediate cardiovascular responses and provides an enjoyable moderate to vigorous PA intensity in healthy male adults, and can be used to meet the weekly PA recommendations. 

scholarly journals Influence of the Varied Pitch Shape on Soccer Players Physiological Responses and Time-Motion Characteristics During Small-Sided Games

2018 ◽  
Vol 64 (1) ◽  
pp. 171-180 ◽  
Author(s):  
David Casamichana ◽  
Paul S Bradley ◽  
Julen Castellano
Keyword(s):  
Heart Rate ◽  
Perceived Exertion ◽  
Physiological Responses ◽  
Rating Of Perceived Exertion ◽  
Soccer Players ◽  
Maximum Heart Rate ◽  
Heart Rate Monitor ◽  
Time Motion ◽  
Motion Characteristics ◽  
Peak Speed

Abstract The aim of this study was to investigate the effect of pitch shape modifications on heart rate responses and time-motion characteristics in soccer players during 5-a-side small-sided games (SSGs). Players completed four different SSG dimensions: (1) short narrow pitch (SN; 40 × 25 m), (2) short wide pitch (SW; 66 × 25 m), (3) long narrow pitch (LN; 40 × 50 m), and (4) long wide pitch (LW; 66 × 50 m). Twenty amateur soccer players (age: 21 ± 5 yr; stature: 176.8 ± 1.9 cm; body mass: 72.7 ± 3.7 kg) were monitored using a heart rate monitor and a 10 Hz GPS device. Mean maximum heart rate (%HRmax), rating of perceived exertion (RPE), peak running speed, total distance covered (TD), distance covered in four speed categories, number of moderate and high accelerations (Ac), decelerations (Dc), changes of direction (COD) and player load were recorded. Increasing the pitch length had a greater effect compared to increasing the pitch width especially on RPE (3.8, 6.3, 4.9 and 6.6 AU to SN, LN, SW and LW, respectively) and time-motion characteristics such as TD (101, 127, 108 and 131 m·min-1 to SN, LN, SW and LW, respectively), peak speed (4.8, 6.1, 5.2 and 6.2 m·s-1 to SN, LN, SW and LW, respectively), and the number of accelerations, decelerations, and changes of direction. The data demonstrates that increasing the length rather than the width of 5-a-side SSG has a greater impact on players’ responses in terms of increasing workloads.

scholarly journals Usefulness of Linear Mixed-Effects Models to Assess the Relationship between Objective and Subjective Internal Load in Team Sports

2021 ◽  
Vol 18 (2) ◽  
pp. 392
Author(s):  
Alice Iannaccone ◽  
Daniele Conte ◽  
Cristina Cortis ◽  
Andrea Fusco
Keyword(s):  
Heart Rate ◽  
Perceived Exertion ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Team Sports ◽  
Rating Of Perceived Exertion ◽  
Subjective Measures ◽  
Internal Load ◽  
Random Slopes ◽  
The Relationship

Internal load can be objectively measured by heart rate-based models, such as Edwards’ summated heart rate zones, or subjectively by session rating of perceived exertion. The relationship between internal loads assessed via heart rate-based models and session rating of perceived exertion is usually studied through simple correlations, although the Linear Mixed Model could represent a more appropriate statistical procedure to deal with intrasubject variability. This study aimed to compare conventional correlations and the Linear Mixed Model to assess the relationships between objective and subjective measures of internal load in team sports. Thirteen male youth beach handball players (15.9 ± 0.3 years) were monitored (14 training sessions; 7 official matches). Correlation coefficients were used to correlate the objective and subjective internal load. The Linear Mixed Model was used to model the relationship between objective and subjective measures of internal load data by considering each player individual response as random effect. Random intercepts were used and then random slopes were added. The likelihood-ratio test was used to compare statistical models. The correlation coefficient for the overall relationship between the objective and subjective internal data was very large (r = 0.74; ρ = 0.78). The Linear Mixed Model using both random slopes and random intercepts better explained (p < 0.001) the relationship between internal load measures. Researchers are encouraged to apply the Linear Mixed Models rather than correlation to analyze internal load relationships in team sports since it allows for the consideration of the individuality of players.

scholarly journals Caffeine improves biochemical and specific performance after judo training: a double-blind crossover study in a real judo training situation

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Kelvin Euton Oliveira Carmo ◽  
Diego Ignácio Valenzuela Pérez ◽  
Charles Nardelli Valido ◽  
Jymmys Lopes dos Santos ◽  
Bianca Miarka ◽  
...  
Keyword(s):  
Heart Rate ◽  
Uric Acid ◽  
Body Mass ◽  
Perceived Exertion ◽  
Rating Of Perceived Exertion ◽  
Power Performance ◽  
Double Blind ◽  
Biochemical Effect ◽  
Plasma Uric Acid ◽  
Hemodynamic Variables

Abstract Background Nutritional ergogenic aids are foods or nutrients that can improve physical performance. Among these foods with ergogenic properties, caffeine has shown that it can increase the fat catabolism, strength, and improve the cognition and time reaction of an athlete, therefore, it is hoped that it can improve the performance of judokas. This study through a double-blind crossover (supplement X placebo) protocol, investigated the effects caffeine supplementation (single capsule containing 5 mg/kg body mass intake 60 min before the session) on biochemical, anthropometrical, physical, subjective and hemodynamic variables measured before, during and after two typical judo trainingcxs sessions (120-min: 40-min of gymnastics; 40-min of specific technics and; 40-min of judo combat). Methods 8 high-level athletes (21.4 ± 2.0 years; 83.6 ± 15.2 kg; 1.8 ± 0.1 m; 17.9 ± 7.0 Fat%) were evaluated before and after each training for body mass, hydration, upper and lower limb power, performance in the special judo fitness test (SJFT), free fatty acids (FFA) in plasma, uric acid, glucose, lactate, heart rate, and pain. In addition, heart rate, FFA in plasma, uric acid, glucose, lactate, rating of perceived exertion and pain were assessed during the training. Results At 120 min, supplementation resulted in a higher concentration of plasma FFA (1.5 ± 0.5 vs. 1.0 ± 0.3 mmol/L; p = 0.047) and lactate (4.9 ± 1.8 vs. 3.0 ± 1.2 mmol/L; p = 0.047), and a lower concentration of uric acid (5.4 ± 0.9 vs. 7.0 ± 1.5 mg/dL; p = 0.04). Supplementation also resulted in performance maintenance (fatigue index) in the SJFT (Δ0.3 ± 2.0 vs Δ1.7 ± 2.5, for caffeine and placebo respectively, p = 0.046). No adverse effects were observed. Conclusion Based on the applied dose, intake time, and sample of this study, we can conclude that caffeine produces an ergogenic biochemical effect, and improves performance in judo athletes.

A Systematic Review of Submaximal Cycle Tests to Predict, Monitor, and Optimize Cycling Performance

2016 ◽  
Vol 11 (6) ◽  
pp. 707-714 ◽  
Author(s):  
Benoit Capostagno ◽  
Michael I. Lambert ◽  
Robert P. Lamberts
Keyword(s):  
Heart Rate ◽  
Power Output ◽  
Perceived Exertion ◽  
Heart Rate Recovery ◽  
Mechanical Efficiency ◽  
Cycling Performance ◽  
Rating Of Perceived Exertion ◽  
Time To Exhaustion ◽  
Gross Mechanical Efficiency ◽  
Multiple Variables

Finding the optimal balance between high training loads and recovery is a constant challenge for cyclists and their coaches. Monitoring improvements in performance and levels of fatigue is recommended to correctly adjust training to ensure optimal adaptation. However, many performance tests require a maximal or exhaustive effort, which reduces their real-world application. The purpose of this review was to investigate the development and use of submaximal cycling tests that can be used to predict and monitor cycling performance and training status. Twelve studies met the inclusion criteria, and 3 separate submaximal cycling tests were identified from within those 12. Submaximal variables including gross mechanical efficiency, oxygen uptake (VO2), heart rate, lactate, predicted time to exhaustion (pTE), rating of perceived exertion (RPE), power output, and heart-rate recovery (HRR) were the components of the 3 tests. pTE, submaximal power output, RPE, and HRR appear to have the most value for monitoring improvements in performance and indicate a state of fatigue. This literature review shows that several submaximal cycle tests have been developed over the last decade with the aim to predict, monitor, and optimize cycling performance. To be able to conduct a submaximal test on a regular basis, the test needs to be short in duration and as noninvasive as possible. In addition, a test should capture multiple variables and use multivariate analyses to interpret the submaximal outcomes correctly and alter training prescription if needed.

Exercise Prescription Using the Borg Rating of Perceived Exertion to Improve Fitness

2017 ◽  
Vol 39 (02) ◽  
pp. 115-123 ◽  
Author(s):  
Manuel Garnacho-Castaño ◽  
Raúl Domínguez ◽  
Arturo Muñoz González ◽  
Raquel Feliu-Ruano ◽  
Noemí Serra-Payá ◽  
...  
Keyword(s):  
Heart Rate ◽  
Peak Power ◽  
Perceived Exertion ◽  
Exercise Prescription ◽  
Time Effect ◽  
Rating Of Perceived Exertion ◽  
Muscular Fitness ◽  
Time Interaction ◽  
Circuit Resistance Training ◽  
Circuit Resistance

AbstractThe present study aimed to compare two fitness-training methodologies, instability circuit resistance training (ICRT) versus traditional circuit resistance training (TCRT), applying an experimental model of exercise prescription controlling and modulating exercise load using the Borg rating of perceived exertion. Forty-four healthy young adults age (21.6±2.3 years) were randomly assigned to three groups: TCRT (n=14), ICRT (n=14) and a control group (n=16). Strength and cardiorespiratory tests were chosen to evaluate cardiorespiratory and muscular fitness before and after the training program. In cardiorespiratory data, a significant difference was observed for the time effect in VO2max, peak heart rate, peak velocity, and heart rate at anaerobic threshold intensity (p<0.05) in the experimental groups. In strength variables, a significant Group x Time interaction effect was detected in 1RM, in mean propulsive power, and in peak power (p≤0.01) in the back squat exercise. In the bench press exercise, a significant time effect was detected in 1RM, in mean propulsive power, and in peak power, and a Group x Time interaction in peak power (all p<0.05). We can conclude that applying an experimental model of exercise prescription using RPE improved cardiorespiratory and muscular fitness in healthy young adults in both experimental groups.

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