Evidence map›Paper›PMID 35808157›Full record

ArticleSensors (Basel, Switzerland)2022

Estimation of Heart Rate and Energy Expenditure Using a Smart Bracelet during Different Exercise Intensities: A Reliability and Validity Study.

Yihui Cai, Zi Wang, Wanxia Zhang, Weiya Kong, Jiayao Jiang, Ruobing Zhao, Dongxue Wang, Leyi Feng, Guoxin Ni

Registry-linked trialAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07445113 (Influence of Diaphragmatic Breathing Through Slow, Deep Respiration on Vagal Nerve Modulation and Stimulation of the Autonomic Nervous System), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT07445113 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Influence of Diaphragmatic Breathing Through Slow, Deep Respiration on Vagal Nerve Modulation and Stimulation of the Autonomic Nervous System

TypeinterventionalSponsorUniversity of JaénRan2026 to 2026Enrolled60ConditionsHealthy Adult Male and Female VolunteersArmsGuided breathing at 6 breaths per minute (bpm) with an inspiration (I) to expiration (E), Guided breathing at 6 bpm with apnea (A), Breathing education
3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Exercise Exertion Level Prediction Using Data from Wearable Physiologic Monitors.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023
    Article
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

9 authors.

Yihui CaiSchool of Sports Medicine and Rehabilitation, Beijing Sport University, Beijing 100084, China.ORCID 0000-0003-3341-6750
Zi WangSchool of Sports Medicine and Rehabilitation, Beijing Sport University, Beijing 100084, China.
Wanxia ZhangSchool of Sports Medicine and Rehabilitation, Beijing Sport University, Beijing 100084, China.
Weiya KongSchool of Sports Medicine and Rehabilitation, Beijing Sport University, Beijing 100084, China.ORCID 0000-0002-8611-5671
Jiayao JiangSchool of Sports Medicine and Rehabilitation, Beijing Sport University, Beijing 100084, China.
Ruobing ZhaoSchool of Sports Medicine and Rehabilitation, Beijing Sport University, Beijing 100084, China.
Dongxue WangSchool of Sports Medicine and Rehabilitation, Beijing Sport University, Beijing 100084, China.
Leyi FengSchool of Sport Science, Beijing Sport University, Beijing 100084, China.
Guoxin NiSchool of Sports Medicine and Rehabilitation, Beijing Sport University, Beijing 100084, China.ORCID 0000-0001-9181-8155

Funding

Beijing Sport University 2140948504
6 · The paper itself

Abstract

Background. With wrist-worn wearables becoming increasingly available, it is important to understand their reliability and validity in different conditions. The primary objective of this study was to examine the reliability and validity of the Lexin Mio smart bracelet in measuring heart rate (HR) and energy expenditure (EE) in people with different physical activity levels exercising at different intensities. Methods. A total of 65 participants completed one maximal oxygen uptake test and two running exercise tests wearing the Mio smart bracelet, the Polar H10 HR band, and a gas-analysis system. Results. In terms of HR measurement reliability, the Mio smart bracelet showed good reliability in a left versus right test and good test−retest reliability (p > 0.05; mean absolute percentage error (MAPE) < 10%; intraclass correlation coefficient (ICC) > 0.4). For EE measurement, the Mio smart bracelet showed good reliability in a left versus right test, good test−retest reliability on the right (p > 0.05; MAPE > 10%; ICC > 0.4), and low test−retest reliability on the left (p > 0.05; MAPE > 10%; ICC < 0.4). Regarding validity, the Mio smart bracelet showed good validity for HR measurement (p > 0.05; MAPE < 10%; ICC > 0.4) and low validity for EE measurement (p < 0.05; MAPE > 10%; ICC < 0.4). Conclusion. The Lexin Mio smart bracelet showed good reliability and validity for HR measurement among people with different physical activity levels exercising at various exercise intensities in a laboratory setting. However, the smart bracelet showed good reliability and low validity for the estimation of EE.

Indexed as

Energy MetabolismExercise TestExerciseHeart RateHumansReproducibility of Resultsenergy expenditureexerciseheart ratemonitoringreliabilityvalidationwrist-worn devices

Identifiers

PMID35808157
PMCPMC9268904

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Registered trials

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.