Unknown

Dataset Information

Accuracy of wearables for determining the maximal oxygen uptake and lactate threshold: a qualitative systematic review.


ABSTRACT:

Introduction

The limitations of costly laboratory methods could be addressed by advances in wearable sensors and associated machine learning algorithms (13). Key advantages of wearable technologies (WT) include non-invasive and continuous monitoring. However, it is necessary to control and ensure their accuracy. The aim of this review was to analyze and systematically summarize recent studies on the validity of maximal oxygen uptake (V̇O2max) and lactate threshold (LT) as estimated by consumer wearables.

Methods

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed in preparing this review. The literature was systematically searched in the Web of Science, SPORTDiscus, and Medline databases. The risk of bias was as

SUBMITTER: Zeleznik Mezan L 

PROVIDER: S-EPMC12748164 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature