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R. Welsh

Researcher at University of Wisconsin-Madison

Publications -  7
Citations -  683

R. Welsh is an academic researcher from University of Wisconsin-Madison. The author has contributed to research in topics: Exercise intensity & Overtraining. The author has an hindex of 5, co-authored 7 publications receiving 618 citations.

Papers
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Journal ArticleDOI

Effects of specific versus cross-training on running performance

TL;DR: The data suggest that muscularly non-similar XT may contribute to improved running performance but not to the same degree as increased specific tranining.
Journal Article

Athletic performance in relation to training load.

TL;DR: Data suggest that improved performance in events of 7-20 minutes duration in response to intensified training is primarily dependent upon increases in total load and overall RPE during training and; that a 10-fold increase in training load may be associated with an approximately 10% improvement in performance.
Journal ArticleDOI

A simplified approach to estimating the maximal lactate steady state.

TL;DR: Testing the ability of heart rate (HR) to identify MSS during steady state exercise, similar to that used in conventional exercise prescription, concludes that use of these simple HR models may predict MSS with sufficient accuracy to be useful when direct HLa measurement is not available.
Book ChapterDOI

Monitoring of training, warm up, and performance in athletes

TL;DR: Overtraining syndrome is a serious disorder, equivalent in severity to many orthopaedic injuries, and often sufficient to end a competitive season, and even with extensive laboratory facilities available, there are no universally agreed upon markers which signal the impending development of overtraining syndrome.
Journal ArticleDOI

473 a simplified approach to estimating the maximal lactate steady state

TL;DR: Testing the ability of heart rate (HR) to identify MSS during steady state exercise, similar to that used in conventional exercise prescription, concludes that use of these simple HR models may predict MSS with sufficient accuracy to be useful when direct HLa measurement is not available.