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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
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Consensus based framework for digital mobility monitoring.

Felix Kluge1, Silvia Del Din2, Andrea Cereatti3

  • 1Machine Learning and Data Analytics Lab, Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany.

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|August 20, 2021
PubMed
Summary
This summary is machine-generated.

Experts reached a consensus on definitions for real-world walking using wearable sensors. This standardized terminology will improve digital mobility assessment and gait analysis across studies.

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Area of Science:

  • Digital Health
  • Biomedical Engineering
  • Rehabilitation Science

Background:

  • Wearable sensor systems enable digital mobility assessment in natural environments, aiding health monitoring and intervention evaluation.
  • Real-world walking differs from lab settings due to unconstrained conditions, necessitating clear definitions for data comparability.
  • Lack of standardized definitions for real-world walking impedes cross-study data interpretation and system comparison.

Purpose of the Study:

  • To achieve expert consensus on definitions for key aspects of real-world walking.
  • To establish a common terminological framework for digital mobility assessment.
  • To facilitate the development of consistent protocols for gait analysis using wearable technology.

Main Methods:

  • An adapted Delphi method was employed to reach expert consensus.
  • An online survey was distributed to 162 academic, clinical, and industrial experts in gait analysis.
  • Descriptive statistics were used to evaluate agreement, with >75% consensus defined as agreed.

Main Results:

  • A consensus was achieved on all definitions after two rounds of the survey.
  • High agreement rates were observed for 'Walking' (>90%), 'Real-world' (>90%), and 'Turning' (>90%).
  • Consensus was also reached on 'Purposeful' ( >75%), 'Walking bout' (>80%), and 'Walking speed' (>75%).

Conclusions:

  • A consented set of real-world walking definitions was established, crucial for developing assessment and analysis protocols.
  • These definitions provide a common framework for digital and mobile gait assessment technologies.
  • The standardized terminology supports the transition from supervised to unsupervised gait assessment and enhances the comparability of digital mobility outcomes.