Evidence map›Paper›PMID 40335520›Full record

ArticleScientific reports2025

Validity of Hera Leto consumer earbuds for heart rate monitoring during stationary cycling.

Junchao Yang, Zhihui Lu, Xiangxin Li, Kuan Tao, Junqiang Qiu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Junchao YangSchool of Sport Science, Beijing Sport University, Beijing, 100084, China.
Zhihui LuChina Football College, Beijing Sport University, Beijing, 100084, China.
Xiangxin LiSchool of Sport Science, Beijing Sport University, Beijing, 100084, China.
Kuan TaoSchool of Sports Engineering, Beijing Sport University, Beijing, 100084, China. taokuan@bsu.edu.cn.
Junqiang QiuSchool of Sport Science, Beijing Sport University, Beijing, 100084, China. qiujunqiang@bsu.edu.cn.

Funding

National Key Research and Development Program of China 2018YFC2000601
6 · The paper itself

Abstract

Heart rate (HR) monitoring using earbuds presents a promising avenue for precise measurement, yet its validity remains under investigation during stationary cycling. In this study, we assessed the validity of the Hera Leto consumer earbuds by enrolling twenty-eight athletes as participants. Each participant wore a chest-strap Polar H10, considered the gold-standard reference, while simultaneously testing three HR monitors: the Hera Leto (worn on the ears), the Polar Verity Sense (worn on the upper arm), and the Polar Vantage V (worn on the wrist). The exercise protocol included four steady-state exercise sessions, six sessions of severe intensity exhaustive exercise, and three high-intensity interval training (HIIT) sessions. Our findings revealed a robust correlation ([Formula: see text]=0.970, [Formula: see text]<0.001) between the HR measurements obtained from Hera Leto and Polar H10 across all exercise intensities, with a minimal systematic bias of - 0.67 bpm. with a minimal systematic bias of -0.67 bpm. Notably, Hera Leto demonstrated superior performance, with a mean absolute error (MAE) of 2 bpm and concordance correlation coefficient (CCC) of 0.97, compared to the Polar Verity Sense (MAE = 4 bpm, CCC = 0.88) and Polar Vantage V (MAE = 4 bpm, CCC = 0.93). Although the precision of HR measurement decreased with increasing exercise intensity, Hera Leto exhibited a slower onset of this decline compared to the other devices. Overall, our study underscores the potential of Hera Leto earbuds as a valid tool for HR monitoring, particularly in scenarios involving steady-state exercise.

Indexed as

BicyclingHeart RateWearable Electronic DevicesAdultAthletesExerciseFemaleHumansMaleMonitoring, PhysiologicReproducibility of ResultsYoung Adult

Identifiers

PMID40335520
PMCPMC12059135

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.