Mobile Decision Support and Data Provisioning for Low Back Pain

Abstract

The authors present Back Pain Buddy, a mobile application offering decision support and coaching for people with low back pain (LBP). The application takes advantage of smartphones powerful capabilities and provides a crowd-sourced decision support system for discovering treatments and a mobile sensing solution for collecting data about users activities that are crucial in LBP research.

Authors:
Hosio Simo, Karppinen Jaro, van Berkel Niels, Oppenlaender Jonas, Goncalves Jorge

Publication type:
A1 Journal article – refereed

Place of publication:

Keywords:
Back, Back Pain, Back Pain Buddy, Bioinformatics, Crowd Sourced Decision Support System, Crowd Sourcing, Data Analysis, Decision Support Systems, E Coaching, healthcare, Internet Web Technologies, Low Back Pain, Mobile, Mobile Application, Mobile Applications, Mobile Coaching, Mobile Coaching In Healthcare, Mobile Decision Support, Mobile Health, Mobile Sensing, Mobile Sensing Solution, Pain, Patient Treatment, Sensing, Sensors, Smart Phones, Smartphones

Published:

Full citation:
S. Hosio, J. Karppinen, N. van Berkel, J. Oppenlaender and J. Goncalves, “Mobile Decision Support and Data Provisioning for Low Back Pain” in Computer, vol. 51, no. 08, pp. 34-43, 2018. doi: 10.1109/MC.2018.3191250

DOI:
https://doi.ieeecomputersociety.org/10.1109/MC.2018.3191250

Read the publication here:
http://urn.fi/urn:nbn:fi-fe2019040511218