Assessment of Fatigue Using Wearable Sensors: A Pilot Study.

ABSTRACT:

Background

Fatigue is a broad, multifactorial concept encompassing feelings of reduced physical and mental energy levels. Fatigue strongly impacts patient health-related quality of life across a huge range of conditions, yet, to date, tools available to understand fatigue are severely limited.

Methods

After using a recurrent neural network-based algorithm to impute missing time series data form a multisensor wearable device, we compared supervised and unsupervised machine learning approaches to gain insights on the relationship between self-reported non-pathological fatigue and multimodal sensor data.

Results

A total of 27 healthy subjects and 405 recording days were analyzed. Recorded data included continuous multimodal wearable sensor time series on physical activit

SUBMITTER: Luo H 

PROVIDER: S-EPMC7768149 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature