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


Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
23 Jun 2023
Historique:
received: 03 06 2023
revised: 16 06 2023
accepted: 22 06 2023
medline: 17 7 2023
pubmed: 14 7 2023
entrez: 14 7 2023
Statut: epublish

Résumé

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.

Identifiants

pubmed: 37447697
pii: s23135847
doi: 10.3390/s23135847
pmc: PMC10346781
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : European Commission
ID : 953432
Organisme : Sapienza University of Rome
ID : AR2221816B8CF333
Organisme : Sapienza University of Rome
ID : 2513294
Organisme : Sapienza University of Rome
ID : 2322022

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Auteurs

Vincenzo Ronca (V)

Department of Computer, Control, and Management Engineering, Sapienza University of Rome, 00185 Rome, Italy.
BrainSigns Srl, 00198 Rome, Italy.

Ana C Martinez-Levy (AC)

BrainSigns Srl, 00198 Rome, Italy.
Department of Molecular Medicine, Sapienza University of Rome, 00185 Rome, Italy.

Alessia Vozzi (A)

BrainSigns Srl, 00198 Rome, Italy.
Department of Anatomical, Histological, Forensic and Orthopaedic Sciences, Sapienza University of Rome, 00185 Rome, Italy.

Andrea Giorgi (A)

BrainSigns Srl, 00198 Rome, Italy.
Department of Anatomical, Histological, Forensic and Orthopaedic Sciences, Sapienza University of Rome, 00185 Rome, Italy.

Pietro Aricò (P)

Department of Computer, Control, and Management Engineering, Sapienza University of Rome, 00185 Rome, Italy.
BrainSigns Srl, 00198 Rome, Italy.

Rossella Capotorto (R)

Department of Computer, Control, and Management Engineering, Sapienza University of Rome, 00185 Rome, Italy.
Department of Molecular Medicine, Sapienza University of Rome, 00185 Rome, Italy.

Gianluca Borghini (G)

BrainSigns Srl, 00198 Rome, Italy.
Department of Molecular Medicine, Sapienza University of Rome, 00185 Rome, Italy.

Fabio Babiloni (F)

BrainSigns Srl, 00198 Rome, Italy.
Department of Molecular Medicine, Sapienza University of Rome, 00185 Rome, Italy.
College of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310005, China.

Gianluca Di Flumeri (G)

BrainSigns Srl, 00198 Rome, Italy.
Department of Molecular Medicine, Sapienza University of Rome, 00185 Rome, Italy.

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Classifications MeSH