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Updated: Jun 21, 2025

Versatility of Protocols for Resistance Training and Assessment Using Static and Dynamic Ladders in Animal Models
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Versatility of Protocols for Resistance Training and Assessment Using Static and Dynamic Ladders in Animal Models

Published on: December 17, 2021

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耐力运动中的训练会话模型:挪威对最佳实践建议的观点

Espen Tønnessen1, Øyvind Sandbakk2, Silvana Bucher Sandbakk3

  • 1School of Health Sciences, Kristiania University College, PB 1190 Sentrum, 0107, Oslo, Norway.

Sports medicine (Auckland, N.Z.)
|July 16, 2024
PubMed
概括

精英耐力运动员从强调体积和控制强度的训练模式中受益. 这项研究表明,间歇训练往往比以前推的更大,更不详尽,为教练提供了实用的见解.

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An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field06:52

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

Published on: May 26, 2020

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Using Near-Infrared Spectroscopy Wearable Devices to Identify Central Versus Peripheral Limitations During Exercise09:33

Using Near-Infrared Spectroscopy Wearable Devices to Identify Central Versus Peripheral Limitations During Exercise

Published on: December 19, 2024

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相关概念视频

Exercise and Muscle Performance01:27

Exercise and Muscle Performance

Exercise induces a range of adaptations in muscle tissue, depending on the type and duration of activity. Such physical training can be broadly categorized into two types: endurance exercises and resistance exercises.
Endurance exercises
Endurance exercises involve running, swimming, or cycling, which require repetitive movements with low force output. When a person engages in endurance exercise, a few noticeable changes occur in their skeletal muscles. For instance, the number of capillaries...
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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
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