Evidence map›Paper›PMID 34994703›Full record

ArticleJMIR formative research2022

Continuous Monitoring of Vital Signs With Wearable Sensors During Daily Life Activities: Validation Study.

Marjolein E Haveman, Mathilde C van Rossum, Roswita M E Vaseur, Claire van der Riet, Richte C L Schuurmann, Hermie J Hermens, Jean-Paul P M de Vries, Monique Tabak

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Marjolein E HavemanDepartment of Surgery, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.ORCID https://orcid.org/0000-0002-6030-3172
Mathilde C van RossumDepartment of Biomedical Signals and Systems, University of Twente, Enschede, Netherlands.ORCID https://orcid.org/0000-0002-1144-3793
Roswita M E VaseurDepartment of Biomedical Signals and Systems, University of Twente, Enschede, Netherlands.ORCID https://orcid.org/0000-0003-1430-0349
Claire van der RietDepartment of Surgery, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.ORCID https://orcid.org/0000-0002-2108-9417
Richte C L SchuurmannDepartment of Surgery, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.ORCID https://orcid.org/0000-0001-7253-3939
Hermie J HermensDepartment of Biomedical Signals and Systems, University of Twente, Enschede, Netherlands.ORCID https://orcid.org/0000-0002-3065-3876
Jean-Paul P M de VriesDepartment of Surgery, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.ORCID https://orcid.org/0000-0002-2669-320X
Monique TabakDepartment of Biomedical Signals and Systems, University of Twente, Enschede, Netherlands.ORCID https://orcid.org/0000-0001-5082-1112
University Medical Center Groningen · NLRoessingh Research and Development · NLUniversity of Twente · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundContinuous telemonitoring of vital signs in a clinical or home setting may lead to improved knowledge of patients' baseline vital signs and earlier detection of patient deterioration, and it may also facilitate the migration of care toward home. Little is known about the performance of available wearable sensors, especially during daily life activities, although accurate technology is critical for clinical decision-making.

objectiveThe aim of this study is to assess the data availability, accuracy, and concurrent validity of vital sign data measured with wearable sensors in volunteers during various daily life activities in a simulated free-living environment.

methodsVolunteers were equipped with 4 wearable sensors (Everion placed on the left and right arms, VitalPatch, and Fitbit Charge 3) and 2 reference devices (Oxycon Mobile and iButton) to obtain continuous measurements of heart rate (HR), respiratory rate (RR), oxygen saturation (SpO

resultsA total of 20 volunteers (median age 64 years, range 20-74 years) were included. Data availability was high for all vital signs measured by VitalPatch and for HR and temperature measured by Everion. Data availability for HR was the lowest for Fitbit (4807/13,680, 35.14% missing data points). For SpO

conclusionsData availability, accuracy, and concurrent validity of the studied wearable sensors varied and differed according to activity. In this study, the accuracy of all sensors decreased with physical activity. Of the tested sensors, VitalPatch was found to be the most accurate and valid for vital signs monitoring.

Indexed as

accuracybiosensorcontinuous monitoringmHealthtelemonitoringvalidityvital signswearablewearable sensors

Identifiers

PMID34994703
PMCPMC8783291
OpenAlexW4205543965

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.