Improved Global Navigation Satellite System filtering methods for the mobile six-minute walk test

Maximilian Ogris, Kurt Edegger, Angelika Rzepka, Andreas Ziegl, Günter Schreier*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Heart failure (HF) is a chronic disease with high hospitalizations rates and increased mortality. The six-minute walk test (6MWT) is a standardized method to assess the functional health of HF patients by measuring the distance walked in six minutes [1]. The improved 6MWT with new filter algorithms, based on the development of smartphone application [9], can be used everywhere with a good global navigation satellite system (GNSS) signal. This paper tests multiple filtering approaches to reduce the measured distance error in the application. We were able to decrease the average relative error of the application from 4.5% to 2.0%. Additionally, the number of experiments with relative error over our chosen clinically significant difference of 5% is reduced by 90%. Keeping these results in mind, the system can be considered clinically acceptable.

Original languageEnglish
Pages (from-to)221-224
Number of pages4
JournalCurrent Directions in Biomedical Engineering
Volume8
Issue number2
DOIs
Publication statusPublished - 1 Aug 2022

Keywords

  • Digital health
  • Functional health
  • GNSS signal filtering
  • Kalman filter
  • Mobile health
  • Telehealth

ASJC Scopus subject areas

  • Biomedical Engineering

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