Agreement Between a Wristwatch and a Free Optical Sensor with a Chest Strap in Measuring HR Variations During Front Crawl Swimming

Wearables with optical sensors for heart rate (HR) measurement are widely available in the market. However, their accuracy in water is still underexplored. The aim of the present study was to test the agreement of two different devices for HR monitoring with a chest strap while swimming at different intensities. Twenty male and ten female subjects (mean 19.6 ± 0.7 years old, 173.3 ± 5.4 cm, and 67.1 ± 6.6 kg) performed an intermittent progressive protocol of 3 × 30 s tethered front crawl swimming followed by a 1 min rest period. A chest strap, a wristwatch, and a multi-site optical sensor placed at the temple were used simultaneously. A strong association, an excellent intra-class correlation, and a low mean bias were denoted (R2 = 0.85, ICC = 0.94, b = −1) between HRchest vs. HRtemple. Both indicators increased throughout the test, denoting an increase in accuracy from light to vigorous exercise intensity. HRchest and HRwatch showed a moderate association for the whole test (R2 = 0.23) but a weak association, a poor consistency, and a high mean bias stepwise (0.01 ≤ R2 ≤ 0.06, 0.03 ≤ ICC ≤ 0.42, −48.1 ≤ b≤ −16.1). During swimming, the HR values from the temple showed a better agreement with the chest strap than those from the wristwatch. The temple reading accuracy might be enhanced by using the device during the dryland warm-up routine.

Authors

Institutions

Publication Details

Journal
Applied Sciences
Published
2025-05-22
DOI
https://doi.org/10.3390/app15115848
Citations
2
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
3.44
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Agreement Between a Wristwatch and a Free Optical Sensor with a Chest Strap in Measuring HR Variations During Front Crawl Swimming

Kamil Sokołowski, Marek Strzała, Raúl F. Bartolomeu, Gonçalo Morais et al.
2 citations
Applied Sciences
Sports Performance and Training
3.44
article

Agreement Between a Wristwatch and a Free Optical Sensor with a Chest Strap in Measuring HR Variations During Front Crawl Swimming

Kamil Sokołowski, Marek Strzała, Raúl F. Bartolomeu, Gonçalo Morais, Jorge E. Morais, Ana Margarida Pereira, Vasco Silva, José E. Teixeira
article en
2 citations

Abstract

Wearables with optical sensors for heart rate (HR) measurement are widely available in the market. However, their accuracy in water is still underexplored. The aim of the present study was to test the agreement of two different devices for HR monitoring with a chest strap while swimming at different intensities. Twenty male and ten female subjects (mean 19.6 ± 0.7 years old, 173.3 ± 5.4 cm, and 67.1 ± 6.6 kg) performed an intermittent progressive protocol of 3 × 30 s tethered front crawl swimming followed by a 1 min rest period. A chest strap, a wristwatch, and a multi-site optical sensor placed at the temple were used simultaneously. A strong association, an excellent intra-class correlation, and a low mean bias were denoted (R2 = 0.85, ICC = 0.94, b = −1) between HRchest vs. HRtemple. Both indicators increased throughout the test, denoting an increase in accuracy from light to vigorous exercise intensity. HRchest and HRwatch showed a moderate association for the whole test (R2 = 0.23) but a weak association, a poor consistency, and a high mean bias stepwise (0.01 ≤ R2 ≤ 0.06, 0.03 ≤ ICC ≤ 0.42, −48.1 ≤ b≤ −16.1). During swimming, the HR values from the temple showed a better agreement with the chest strap than those from the wristwatch. The temple reading accuracy might be enhanced by using the device during the dryland warm-up routine.

Applied SciencesVol. 15(11)
Sprint (United States) (US), Universidade Politécnica do Cávado e do Ave (PT), Universidade Politécnica de Bragança (PT), Universidade Politécnica da Guarda (PT)
Openalex Percentile: Top 9%
Sports Performance and Training
3.44
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.