Resources


Database Restricted Access

DREAMT: Dataset for Real-time sleep stage EstimAtion using Multisensor wearable Technology

Ke Wang, Jiamu Yang, Ayush Shetty, Jessilyn Dunn

Dataset for Real-time sleep stage EstimAtion using Multisensor wearable Technology

biomedical time series classification wearable sleep disorders

Published: Feb. 5, 2025. Version: 2.0.0

Database Open Access

Regulation of Brain Cognitive States through Auditory, Gustatory, and Olfactory Stimulation with Wearable Monitoring

Hamid Fekri Azgomi, Luciano Branco, Md Rafiul Amin, Saman Khazaei, Rose T Faghih

This dataset explores safe actuation (music, perfume, coffee) for enhancing cognitive states. It includes subjects’ responses, reaction times, and physiological data (EDA, HR, BVP, PPG, temperature, accelerometer, EEG) during n-back memory tasks.

eeg music signal processing heart rate physiological signals neurophysiology coffee empatica n-back experiments perfume wearable devices control systems memory task muse closed-loop brain cognitive states skin conductance

Published: Dec. 18, 2023. Version: 1.0.0

Database Restricted Access

DREAMT: Dataset for Real-time sleep stage EstimAtion using Multisensor wearable Technology

Ke Wang, Jiamu Yang, Ayush Shetty, Jessilyn Dunn

Dataset for Real-time sleep stage EstimAtion using Multisensor wearable Technology

biomedical time series classification wearable sleep disorders

Published: Feb. 5, 2025. Version: 2.0.0

Database Open Access

Regulation of Brain Cognitive States through Auditory, Gustatory, and Olfactory Stimulation with Wearable Monitoring

Hamid Fekri Azgomi, Luciano Branco, Md Rafiul Amin, Saman Khazaei, Rose T Faghih

This dataset explores safe actuation (music, perfume, coffee) for enhancing cognitive states. It includes subjects’ responses, reaction times, and physiological data (EDA, HR, BVP, PPG, temperature, accelerometer, EEG) during n-back memory tasks.

eeg music signal processing heart rate physiological signals neurophysiology coffee empatica n-back experiments perfume wearable devices control systems memory task muse closed-loop brain cognitive states skin conductance

Published: Dec. 18, 2023. Version: 1.0.0

Database Open Access

CogWear: Can we detect cognitive effort with consumer-grade wearables?

Michal K Grzeszczyk, Rosmary Blanco, Paulina Adamczyk, Maciej Kus, Sylwia Marek, Ryszard Pręcikowski, Aneta Lisowska

Physiological data captured in experimental condition by three wearable devices.

Published: March 31, 2023. Version: 1.0.0

Database Open Access

Wearable Device Dataset from Induced Stress and Structured Exercise Sessions

Andrea Hongn, Facundo Bosch, Lara Prado, Paula Bonomini

Physiological signals(Electrodermal Activity,Blood Volume Pulse, Heart Rate, Temperature,etc) from 36 healthy volunteers collected during structured acute stress induction and aerobic/anaerobic exercise sessions using the Empatica E4 wearable device.

stress exercise anaerobic aerobic wearable

Published: Jan. 24, 2025. Version: 1.0.0

Database Open Access

ScientISST MOVE: Annotated Wearable Multimodal Biosignals recorded during Everyday Life Activities in Naturalistic Environments

João Areias Saraiva, Mariana Abreu, Ana Sofia Carmo, Hugo Plácido da Silva, Ana Fred

Multimodal (ECG, EMG, EDA, PPG, TEMP, ACC) biosignal dataset of everyday activities. Created with 3 wearable devices based on ScientISST Sense and Empatica E4.

greet lift uncontrolled environments run jump gesticulate walk multimodal wearable

Published: March 25, 2024. Version: 1.0.1

Database Open Access

Wearable Device Dataset from Induced Stress and Structured Exercise Sessions

Andrea Hongn, Facundo Bosch, Lara Prado, Paula Bonomini

Physiological signals(Electrodermal Activity,Blood Volume Pulse, Heart Rate, Temperature,etc) from 36 healthy volunteers collected during structured acute stress induction and aerobic/anaerobic exercise sessions using the Empatica E4 wearable device.

stress exercise anaerobic aerobic wearable

Published: Jan. 24, 2025. Version: 1.0.0

Database Open Access

ScientISST MOVE: Annotated Wearable Multimodal Biosignals recorded during Everyday Life Activities in Naturalistic Environments

João Areias Saraiva, Mariana Abreu, Ana Sofia Carmo, Hugo Plácido da Silva, Ana Fred

Multimodal (ECG, EMG, EDA, PPG, TEMP, ACC) biosignal dataset of everyday activities. Created with 3 wearable devices based on ScientISST Sense and Empatica E4.

greet lift uncontrolled environments run jump gesticulate walk multimodal wearable

Published: March 25, 2024. Version: 1.0.1

Database Open Access

BIG IDEAs Lab Glycemic Variability and Wearable Device Data

Peter Cho, Juseong Kim, Brinnae Bent, Jessilyn Dunn

Glucose measurements and wrist-worn wearable sensor data from highnormoglycemic participants.

biomedical engineering pre-diabetes biomarkers

Published: Sept. 18, 2023. Version: 1.1.2