Stress Monitoring Using Wearable Sensors: A Pilot Study and Stress-Predict Dataset.

ABSTRACT: With the recent advancements in the field of wearable technologies, the opportunity to monitor stress continuously using different physiological variables has gained significant interest. The early detection of stress can help improve healthcare and minimizes the negative impact of long-term stress. This paper reports outcomes of a pilot study and associated stress-monitoring dataset, named the "Stress-Predict Dataset", created by collecting physiological signals from healthy subjects using wrist-worn watches with a photoplethysmogram (PPG) sensor. While wearing these watches, 35 healthy volunteers underwent a series of tasks (i.e., Stroop color test, Trier Social Stress Test and Hyperventilation Provocation Test), along with a rest period in-between each task. They also answered questionn

SUBMITTER: Iqbal T 

PROVIDER: S-EPMC9654418 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature