Evidence map›Paper›PMID 37447697›Full record

ArticleSensors (Basel, Switzerland)2023

Wearable Technologies for Electrodermal and Cardiac Activity Measurements: A Comparison between Fitbit Sense, Empatica E4 and Shimmer GSR3.

Vincenzo Ronca, Ana C Martinez-Levy, Alessia Vozzi, Andrea Giorgi, Pietro Aricò, Rossella Capotorto, Gianluca Borghini, Fabio Babiloni, Gianluca Di Flumeri

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing 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.

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

27 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

9 authors.

Vincenzo RoncaDepartment of Computer, Control, and Management Engineering, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0002-7174-6331
Ana C Martinez-LevyBrainSigns Srl, 00198 Rome, Italy.
Alessia VozziBrainSigns Srl, 00198 Rome, Italy.ORCID 0000-0002-8584-5023
Andrea GiorgiBrainSigns Srl, 00198 Rome, Italy.ORCID 0000-0001-6220-3389
Pietro AricòDepartment of Computer, Control, and Management Engineering, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0002-3831-6620
Rossella CapotortoDepartment of Computer, Control, and Management Engineering, Sapienza University of Rome, 00185 Rome, Italy.
Gianluca BorghiniBrainSigns Srl, 00198 Rome, Italy.ORCID 0000-0001-8560-5671
Fabio BabiloniBrainSigns Srl, 00198 Rome, Italy.ORCID 0000-0002-4962-176X
Gianluca Di FlumeriBrainSigns Srl, 00198 Rome, Italy.ORCID 0000-0003-4426-051X

Funding

European Commission 953432Sapienza University of Rome 2322022Sapienza University of Rome 2513294Sapienza University of Rome AR2221816B8CF333
6 · The paper itself

Abstract

The capability of measuring specific neurophysiological and autonomic parameters plays a crucial role in the objective evaluation of a human's mental and emotional states. These human aspects are commonly known in the scientific literature to be involved in a wide range of processes, such as stress and arousal. These aspects represent a relevant factor especially in real and operational environments. Neurophysiological autonomic parameters, such as Electrodermal Activity (EDA) and Photoplethysmographic data (PPG), have been usually investigated through research-graded devices, therefore resulting in a high degree of invasiveness, which could negatively interfere with the monitored user's activity. For such a reason, in the last decade, recent consumer-grade wearable devices, usually designed for fitness-tracking purposes, are receiving increasing attention from the scientific community, and are characterized by a higher comfort, ease of use and, therefore, by a higher compatibility with daily-life environments. The present preliminary study was aimed at assessing the reliability of a consumer wearable device, i.e., the Fitbit Sense, with respect to a research-graded wearable, i.e., the Empatica E4 wristband, and a laboratory device, i.e., the Shimmer GSR3+. EDA and PPG data were collected among 12 participants while they performed multiple resting conditions. The results demonstrated that the EDA- and PPG-derived features computed through the wearable and research devices were positively and significantly correlated, while the reliability of the consumer device was significantly lower.

Indexed as

Wearable Electronic DevicesAutonomic Nervous SystemEmotionsFitness TrackersHumansReproducibility of Resultsconsumer wearableselectrodermal activityphotoplethysmography

Identifiers

PMID37447697
PMCPMC10346781

What OpenQuestion holds

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Registered trials

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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.