Viva Bem Free-living glucose estimation dataset

Version 1.0

Mesquita, Rickson Coelho; Gonçalves, Carlos Eduardo Ribeiro; Lima, Bruno Sanches de; Rossa, Giorgio de Moraes; Mose, Leonardo de Barros; Silva, Emely Pujólli da; Reis, Marcelo da Silva; Von Zuben, Fernando José; Rocha, Anderson de Rezende, 2026, "Viva Bem Free-living glucose estimation dataset", https://doi.org/10.25824/redu/ZTPY8X, Repositório de Dados de Pesquisa da Unicamp , V1

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Description	Here is a multimodal dataset focused on metabolic and cardiovascular health, collected over a continuous 14-day period across both controlled environments (a laboratory at Unicamp) and free-living conditions (the participants' daily routines). This database integrates electrophysiological and hemodynamic signals, featuring Electrocardiogram (ECG) recordings measured in millivolts (mV), Heart Rate in beats per minute (BPM), and Heart Rate Variability (HRV) in milliseconds (ms). Concurrently, the metabolic profile is tracked using blood glucose readings in milligrams per deciliter (mg/dL), obtained continuously via the FreeStyle Libre sensor and intermittently with a capillary blood glucose meter. The physical and body composition characterization of the subjects includes body mass (kg), body fat percentage (%), and Body Mass Index ($kg/m^2$). Additionally, behavioral and lifestyle aspects are captured via raw motion signals (accelerometer and gyroscope), daily step counts (steps/day), and a relative stress scale from the Samsung Health ecosystem, as measured by Galaxy Watch 4 and 6 smartwatches. Finally, this entire data structure is unified by synchronized timestamps and enriched by manual contextual logs maintained by the participants, detailing fasting states, postprandial periods, and physical activity. Due to privacy and ethical considerations, only a portion of the dataset may be publicly available. Researchers interested in accessing the full dataset must contact the authors and submit a formal request, which will be reviewed on a case-by-case basis to ensure compliance with privacy regulations and ethical standards. The PGD is made available here. (2026-06-12)
Subject	Computer and Information Science; Medicine, Health and Life Sciences
Keyword	Wearable devices, Wearable technology
License/Data Use Agreement	CC BY-NC 4.0

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	Plano de Gestão de Dados - A7 - freeliving glucose.docx.pdf Adobe PDF - 308.0 KB Published Sep 2, 2026 2 Downloads MD5: 14d6cb3438cc4fa433cb92e75ba963ed	Access File File Access Public Download Options Adobe PDF Download Metadata Data File Citation EndNote XML RIS BibTeX

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Persistent Identifier	doi:10.25824/redu/ZTPY8X
Publication Date	2026-09-02
Title	Viva Bem Free-living glucose estimation dataset
Author	Mesquita, Rickson Coelho (University of Birmingham (UK)) - ORCID: https://orcid.org/0000-0003-1945-6713 Gonçalves, Carlos Eduardo Ribeiro (Universidade Estadual de Campinas (UNICAMP). Instituto de Física Gleb Wataghin) - ORCID: https://orcid.org/0009-0009-1531-1446 Lima, Bruno Sanches de (Universidade Estadual de Campinas (UNICAMP). Instituto de Física Gleb Wataghin) - ORCID: https://orcid.org/0000-0002-1137-9541 Rossa, Giorgio de Moraes (Universidade Estadual de Campinas (UNICAMP). Instituto de Computação) - ORCID: https://orcid.org/0009-0004-5558-5218 Mose, Leonardo de Barros (Universidade Estadual de Campinas (UNICAMP). Instituto de Física Gleb Wataghin) - ORCID: https://orcid.org/0000-0002-5328-7442 Silva, Emely Pujólli da (Universidade Estadual de Campinas (UNICAMP). Instituto de Computação) - ORCID: https://orcid.org/0000-0001-7745-6151 Reis, Marcelo da Silva (Universidade Estadual de Campinas (UNICAMP). Instituto de Computação) - ORCID: https://orcid.org/0000-0002-3754-9115 Von Zuben, Fernando José (Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Elétrica e de Computação) - ORCID: https://orcid.org/0000-0002-4128-5415 Rocha, Anderson de Rezende (Universidade Estadual de Campinas (UNICAMP). Instituto de Computação) - ORCID: https://orcid.org/0000-0002-4236-8212
Point of Contact	Use email button above to contact. Silva, Emely Pujólli da (Universidade Estadual de Campinas (UNICAMP). Instituto de Computação) Rocha, Anderson de Rezende (Universidade Estadual de Campinas (UNICAMP). Instituto de Computação)
Description	Here is a multimodal dataset focused on metabolic and cardiovascular health, collected over a continuous 14-day period across both controlled environments (a laboratory at Unicamp) and free-living conditions (the participants' daily routines). This database integrates electrophysiological and hemodynamic signals, featuring Electrocardiogram (ECG) recordings measured in millivolts (mV), Heart Rate in beats per minute (BPM), and Heart Rate Variability (HRV) in milliseconds (ms). Concurrently, the metabolic profile is tracked using blood glucose readings in milligrams per deciliter (mg/dL), obtained continuously via the FreeStyle Libre sensor and intermittently with a capillary blood glucose meter. The physical and body composition characterization of the subjects includes body mass (kg), body fat percentage (%), and Body Mass Index ($kg/m^2$). Additionally, behavioral and lifestyle aspects are captured via raw motion signals (accelerometer and gyroscope), daily step counts (steps/day), and a relative stress scale from the Samsung Health ecosystem, as measured by Galaxy Watch 4 and 6 smartwatches. Finally, this entire data structure is unified by synchronized timestamps and enriched by manual contextual logs maintained by the participants, detailing fasting states, postprandial periods, and physical activity. Due to privacy and ethical considerations, only a portion of the dataset may be publicly available. Researchers interested in accessing the full dataset must contact the authors and submit a formal request, which will be reviewed on a case-by-case basis to ensure compliance with privacy regulations and ethical standards. The PGD is made available here. (2026-06-12)
Subject	Computer and Information Science; Medicine, Health and Life Sciences
Keyword	Wearable devices Wearable technology (DLC (LCSH))
Contributor	Convênio Samsung/Unicamp: 23/2021
Funding Information	No Funder: 0000
Depositor	Pujolli da Silva, Emely
Deposit Date	2026-06-12
Declarações obrigatórias sobre ética e privacidade	o projeto que gerou os dados foi aprovado pelo Comite de Ética em Pesquisa da Unicamp ou não envolve questões que requeiram tal aprovação; os dados que serão depositados estão de acordo com a LGPD (Lei Geral de Proteção de Dados)

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