Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Prediction Intervals01:03

Prediction Intervals

3.4K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
3.4K
Subliminal Perception01:15

Subliminal Perception

801
Subliminal perception refers to the processing of sensory information that occurs below the level of conscious awareness. Researchers study subliminal perception by presenting a stimulus, such as a word or image, very quickly, typically around 50 milliseconds. This rapid presentation is often followed by another stimulus, such as a pattern of dots or lines, which blocks further mental processing of the initial stimulus. As a result, if participants cannot identify the initial stimulus better...
801
Factors Affecting Perception01:25

Factors Affecting Perception

2.8K
Perception is influenced by perceptual set, context, motivation, and emotion. Perceptual set, or perceptual expectancy, refers to the tendency to perceive things in a particular way, influenced by previous experiences and expectations. This phenomenon affects the interpretation of stimuli, creating a set of mental tendencies and assumptions that impact sensory perceptions of sound, taste, touch, and sight.
An illustrative example of a perceptual set is the scenario where an airline pilot told...
2.8K
Wald-Wolfowitz Runs Test II01:17

Wald-Wolfowitz Runs Test II

560
The Wald-Wolfowitz runs test, commonly referred to as the runs test, is a nonparametric test used to assess the randomness of ordered data. The test evaluates the number of runs, which are consecutive sequences of similar elements within the data. If the number of runs is significantly higher or lower than expected, the data is considered non-random, indicating a detectable pattern or structure.
For binary data, runs are identified using symbols such as + and −, or equivalently, 1s and 0s. In...
560
Perception01:28

Perception

1.2K
Perception is a fundamental psychological process that enables individuals to organize, interpret, and consciously experience sensory information. This process is crucial for understanding and interacting with the world around us. It includes both bottom-up and top-down processing, each playing a distinct role in how we perceive our environment.
Bottom-up processing begins at the sensory level, where receptors detect external environmental stimuli. These could include the tactile sensation of...
1.2K
Wald-Wolfowitz Runs Test I01:17

Wald-Wolfowitz Runs Test I

970
The Wald-Wolfowitz test, also known as the runs test, is a nonparametric statistical test used to assess the randomness of a sequence of two different types of elements (e.g., positive/negative values, successes/failures). It examines whether the order of the elements in a sequence is random or if there is a pattern or trend present. This nonparametric test applies to any ordered data despite the population and sample data distribution, even if a higher sample size is available.
The test works...
970

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Running Assessed Maximal Oxygen Uptake Increases with Participant Classification Framework Tier in Overall Cross-Country Skiing Performance: A Systematic Review with Meta-regressions.

Sports medicine - open·2026
Same author

A pragmatic, parallel-arm, randomised trial on the effects of two repeated-sprint training protocols on fitness outcomes in semi-professional male soccer players: preliminary report.

Science & medicine in football·2026
Same author

Reflections on dental disease prevention in sub-elite competitive endurance sports: a mixed-methods analysis.

BMJ open sport & exercise medicine·2026
Same author

Seasonal Physical Performance Changes in U12-U15 Male Youth Soccer Players.

International journal of sports medicine·2026
Same author

Postocclusive muscle reoxygenation kinetics and nitric oxide bioavailability following 10-day bed rest.

American journal of physiology. Regulatory, integrative and comparative physiology·2026
Same author

A comparison of oral microbiome composition between highly trained competitive athletes and untrained controls.

Scientific reports·2025

Related Experiment Video

Updated: Feb 9, 2026

Field-Based Thermal Physiology Assay: Cold Shock Recovery under Ambient Conditions
07:54

Field-Based Thermal Physiology Assay: Cold Shock Recovery under Ambient Conditions

Published on: March 9, 2021

3.4K

Interval running with self-selected recovery: Physiology, performance, and perception.

Gary McEwan1, Rosemary Arthur1, Shaun M Phillips2

  • 1a Institute for Clinical Exercise and Health Science , University of the West of Scotland , Hamilton , UK.

European Journal of Sport Science
|May 30, 2018
PubMed
Summary

Self-selected recovery periods in high-intensity interval training (HIIT) allow longer recovery durations, leading to reduced time near maximal heart rate but enhanced time at high intensity compared to externally regulated intervals.

Keywords:
Fatigueexerciseperformancephysiologyrecovery

More Related Videos

An Innovative Running Wheel-based Mechanism for Improved Rat Training Performance
07:51

An Innovative Running Wheel-based Mechanism for Improved Rat Training Performance

Published on: September 19, 2016

9.3K
A Chronic High-Intensity Interval Training and Diet-Induced Obesity Model to Maximize Exercise Effort and Induce Physiologic Changes in Rats
06:28

A Chronic High-Intensity Interval Training and Diet-Induced Obesity Model to Maximize Exercise Effort and Induce Physiologic Changes in Rats

Published on: April 28, 2023

1.4K

Related Experiment Videos

Last Updated: Feb 9, 2026

Field-Based Thermal Physiology Assay: Cold Shock Recovery under Ambient Conditions
07:54

Field-Based Thermal Physiology Assay: Cold Shock Recovery under Ambient Conditions

Published on: March 9, 2021

3.4K
An Innovative Running Wheel-based Mechanism for Improved Rat Training Performance
07:51

An Innovative Running Wheel-based Mechanism for Improved Rat Training Performance

Published on: September 19, 2016

9.3K
A Chronic High-Intensity Interval Training and Diet-Induced Obesity Model to Maximize Exercise Effort and Induce Physiologic Changes in Rats
06:28

A Chronic High-Intensity Interval Training and Diet-Induced Obesity Model to Maximize Exercise Effort and Induce Physiologic Changes in Rats

Published on: April 28, 2023

1.4K

Area of Science:

  • Exercise Physiology
  • Sports Science
  • Human Performance

Background:

  • High-intensity interval training (HIIT) is a popular training method.
  • Recovery periods within HIIT can be externally regulated or self-selected.
  • Understanding the physiological and psychological differences between these recovery types is important for optimizing training.

Purpose of the Study:

  • To compare physiological responses and performance during HIIT with externally regulated (ER) versus self-selected (SS) recovery.
  • To investigate the psychophysiological factors influencing self-selected recovery durations.

Main Methods:

  • 14 recreationally active males completed two HIIT sessions on a non-motorised treadmill.
  • Sessions involved 12 intervals at 105% maximal aerobic speed (MAS) with either 30s ER or SS recovery.
  • Physiological data (heart rate) and performance metrics were recorded; semi-structured interviews were conducted post-SS.

Main Results:

  • Self-selected recovery periods were significantly longer (51s vs 30s) than externally regulated periods.
  • Between-interval heart rate recovery was higher, and time spent at or above 90% maximal heart rate (HRmax) was lower during SS.
  • Relative time spent above 105% MAS was greater during SS compared to ER.

Conclusions:

  • Self-selected recovery in HIIT leads to longer recovery durations and altered physiological responses compared to fixed, externally regulated intervals.
  • This strategy may enhance high-intensity performance by allowing greater recovery, despite reducing overall time at very high heart rates.
  • Inter-individual variability in recovery choices is influenced by afferent cue utilization.