MPulse Mobile Sensing Model for Passive Detection of Impulsive Behavior: Exploratory Prediction Study.

ABSTRACT:

Background

Mobile health technology has demonstrated the ability of smartphone apps and sensors to collect data pertaining to patient activity, behavior, and cognition. It also offers the opportunity to understand how everyday passive mobile metrics such as battery life and screen time relate to mental health outcomes through continuous sensing. Impulsivity is an underlying factor in numerous physical and mental health problems. However, few studies have been designed to help us understand how mobile sensors and self-report data can improve our understanding of impulsive behavior.

Objective

The objective of this study was to explore the feasibility of using mobile sensor data to detect and monitor self-reported state impulsivity and impulsive behavior passively via a cross-p

SUBMITTER: Wen H 

PROVIDER: S-EPMC7875694 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature