Wearable Device Dataset from Induced Stress and Structured Exercise Sessions

health life sciences medicine

Description

This original dataset contains physiological signals collected during structured acute stress induction and aerobic and anaerobic exercise sessions using a wearable device. Blood volume pulse, motion-based activity, skin temperature, and electrodermal activity were recorded with the Empatica E4, a research-grade wearable. The stress induction protocol involved math and emotional tasks designed to provoke stress responses, interleaved with rest periods. Self-reported stress levels were also recorded during this procedure. For the exercise sessions, distinct routines on a stationary bike were created for aerobic and anaerobic activities. The dataset includes records from 36 healthy volunteers for stress sessions, 30 for aerobic exercise, and 31 for anaerobic exercise. By examining the variations in physiological signals, the effects of these activities can be analyzed. This dataset is a valuable resource for research on stress and exercise detection and classification.

Update Frequency

Not updated

License

Open Data Commons Attribution License v1.0

Documentation

https://doi.org/10.13026/he0v-tf17

Managed By

PhysioNet

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Contact

https://physionet.org/about/#contact_us

How to Cite

Wearable Device Dataset from Induced Stress and Structured Exercise Sessions was accessed on DATE from https://registry.opendata.aws/wearable-device-dataset.

Resources on AWS

  • Description
    https://doi.org/10.13026/he0v-tf17
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::physionet-open/wearable-device-dataset/
    AWS Region
    us-east-1
    AWS CLI Access (No AWS account required)
    aws s3 ls --no-sign-request s3://physionet-open/wearable-device-dataset/

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