Evidence map›Paper›PMID 35271148›Full record

ArticleSensors (Basel, Switzerland)2022

HRV Monitoring Using Commercial Wearable Devices as a Health Indicator for Older Persons during the Pandemic.

Eujessika Rodrigues, Daniella Lima, Paulo Barbosa, Karoline Gonzaga, Ricardo Oliveira Guerra, Marcela Pimentel, Humberto Barbosa, Álvaro Maciel

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 NCT07173608 (Transforming Adolescent Perception and Mental Health Through Meditation and Cognitive Reappraisal A Mixed Method Study), which is not on this map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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.

NCT07173608 narecruitingnot on this mapstarted 2026, after this paper: background citation

Transforming Adolescent Perception and Mental Health Through Meditation and Cognitive Reappraisal A Mixed Method Study

TypeinterventionalSponsorBeth Israel Deaconess Medical CenterRan2026 to 2028Enrolled96ConditionsMeditation, Cognitive Reappraisal, Emotional RegulationArmsInner Engineering Program
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

8 authors.

Eujessika RodriguesDepartment of Physiotherapy, Federal University of Rio Grande do Norte-UFRN, Natal 59072-970, Brazil.ORCID 0000-0001-5742-6270
Daniella LimaDepartment of Computer, Center for Strategic Health Technologies-NUTES, Campina Grande 58429-500, Brazil.
Paulo BarbosaDepartment of Computer, Center for Strategic Health Technologies-NUTES, Campina Grande 58429-500, Brazil.ORCID 0000-0003-1740-9155
Karoline GonzagaDepartment of Computer, Center for Strategic Health Technologies-NUTES, Campina Grande 58429-500, Brazil.ORCID 0000-0001-9636-2230
Ricardo Oliveira GuerraDepartment of Physiotherapy, Federal University of Rio Grande do Norte-UFRN, Natal 59072-970, Brazil.
Marcela PimentelDepartment of Physiotherapy, Federal University of Rio Grande do Norte-UFRN, Natal 59072-970, Brazil.ORCID 0000-0001-9059-1120
Humberto BarbosaLaboratório de Análise e Processamento de Imagens de Satélites (LAPIS), Instituto de Ciências Atmosféricas, A. C. Simões Campus, Universidade Federal de Alagoas, Maceió 57072-900, Brazil.ORCID 0000-0002-9641-806X
Álvaro MacielDepartment of Physiotherapy, Federal University of Rio Grande do Norte-UFRN, Natal 59072-970, Brazil.ORCID 0000-0002-8913-7868

Funding

Coordenação de Aperfeicoamento de Pessoal de Nível Superior 23038.013745/2020-69
6 · The paper itself

Abstract

Remote monitoring platforms based on advanced health sensors have the potential to become important tools during the COVID-19 pandemic, supporting the reduction in risks for affected populations such as the elderly. Current commercially available wearable devices still have limitations to deal with heart rate variability (HRV), an important health indicator of human aging. This study analyzes the role of a remote monitoring system designed to support health services to older people during the complete course of the COVID-19 pandemic in Brazil, since its beginning in Brazil in March 2020 until November 2021, based on HRV. Using different levels of analysis and data, we validated HRV parameters by comparing them with reference sensors and tools in HRV measurements. We compared the results obtained for the cardiac modulation data in time domain using samples of 10 elderly people's HRV data from Fitbit Inspire HR with the results provided by Kubios for the same population using a cardiac belt, with the data divided into train and test, where 75% of the data were used for training the models, with the remaining 25% as a test set for evaluating the final performance of the models. The results show that there is very little difference between the results obtained by the remote monitoring system compared with Kubios, indicating that the data obtained from these devices might provide accurate results in evaluating HRV in comparison with gold standard devices. We conclude that the application of the methods and techniques used and reported in this study are useful for the creation and validation of HRV indicators in time series obtained by means of wearable devices based on photoplethysmography sensors; therefore, they can be incorporated into remote monitoring processes as seen during the pandemic.

Indexed as

COVID-19Wearable Electronic DevicesAgedAged, 80 and overHeart RateHumansPandemicsSARS-CoV-2heart rate variabilityremote monitoringwearables

Identifiers

PMID35271148
PMCPMC8915092

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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.