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Ulrik Wisløff

Researcher at Norwegian University of Science and Technology

Publications -  376
Citations -  32133

Ulrik Wisløff is an academic researcher from Norwegian University of Science and Technology. The author has contributed to research in topics: Interval training & Aerobic exercise. The author has an hindex of 82, co-authored 347 publications receiving 27648 citations. Previous affiliations of Ulrik Wisløff include University of Queensland & Baylor College of Medicine.

Papers
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Journal ArticleDOI

Atrial myocyte function and Ca2+ handling is associated with inborn aerobic capacity

TL;DR: It is demonstrated that contrasting for low or high aerobic capacity leads to diverse functional and structural remodelling of atrial myocytes, with impaired contractile function in LCR compared to HCR rats.
Journal ArticleDOI

High intensity interval training induces beneficial effects on coronary atheromatous plaques - a randomized trial.

TL;DR: In this article , the effect of six months supervised high intensity interval training (HIIT) on coronary plaque geometry using intravascular ultrasound in patients with stable CAD following percutaneous coronary intervention (PCI).
Journal ArticleDOI

Upper arm venous compliance and fitness in stable coronary artery disease patients and healthy controls

TL;DR: To determine whether venous compliance or venous outflow in the upper arm is reduced in CAD patients compared to healthy age‐ and fitness‐matched controls, and to examine the association between upper arm venous Compliance and total blood volume.
Journal Article

Exercise ending 30 min pre-dive has no effect on bubble formation in the rat.

TL;DR: The present data indicate that exercise completed 30 min before a dive does not increase the risk of developing decompression sickness in the rat, and the same type and intensity of exercise that reduces bubble formation when performed 20 h prior to a dive neither promotes nor reduces Bubble formation if performed 30 minbefore a dive.
Patent

Health risk indicator determination

TL;DR: In this paper, a method of determining a health risk indicator for a user by obtaining heart rate data for the user recorded over a monitoring period of at least one day was provided.