Evidence map›Paper›PMID 35229043›Full record

ArticleHealth science reports2022

Heart rate variability and heart rate monitoring of nurses using PPG and ECG signals during working condition: A pilot study.

Xinxia Li, Chenghong Hu, Airong Meng, Yanmei Guo, Yang Chen, Rongqing Dang

Open access · goldAbstract read
In one paragraph

Article in Health science reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 38% of its field
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.

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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
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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

6 authors at 2 institutions in 2 countries.

Xinxia LiNursing Department The Affiliated Hospital of Inner Mongolia Medical University Hohhot China.
Chenghong HuGraduate School of Human Development and Environment Kobe University Kobe Japan.ORCID https://orcid.org/0000-0002-1732-9764
Airong MengThe Department of Cardiovascular Surgery The Affiliated Hospital of Inner Mongolia Medical University Hohhot China.
Yanmei GuoThe Department of Nephrology The Affiliated Hospital of Inner Mongolia Medical University Hohhot China.
Yang ChenThe Department of Thyroid and Breast Surgery The Affiliated Hospital of Inner Mongolia Medical University Hohhot China.
Rongqing DangNursing Department The Affiliated Hospital of Inner Mongolia Medical University Hohhot China.
Inner Mongolia Medical University · CNKobe University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of wearable photoplethysmography (PPG) technology for estimating heart rate (HR) and HR variability (HRV) in the health care system is gaining attention in recent years. However, the performance of these devices remains questionable in their ability to collect data in real working conditions for long-term monitoring. The present study aimed to examine the data collected from nurses during working hours by PPG and electrocardiography (ECG) devices. Twenty-two nurses underwent a 60-minute work protocol during the normal working conditions while wearing a PPG device and an ECG device. HR, low-frequency component (LF) and high-frequency component (HF), LF/HF ratio, and percent LF distribution in total spectral power, and steps were examined. Pearson's correlation analysis and Bland-Altman method was performed to examine the relationships between the two devices based on HR and HRV indices. The results found strong positive correlations between HR estimates of both devices, and moderate correlations between LF/HF ratio and percent LF indices estimates, respectively. Moreover, the Bland-Altman analysis showed a small mean bias in general between the captured data of both devices. This pilot study suggested that the PPG device appears to demonstrate good overall reliability in measuring HR, LF/HF ratio, and percent LF. A further large-scale study is required to investigate the feasibility and practicality for HR and HRV analysis in nurses during real working conditions using PPG devices.

Indexed as

heart rateheart rate variabilityphotoplethysmographystress trackingwearable biosensors

Identifiers

PMID35229043
PMCPMC8865060
OpenAlexW4206405220

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.