A sensor-based gait measure for identifying invalid performance in simulated mTBI: an experimental proof of concept

Findings offer preliminary support for the ability of an automated gait-based measure to capture invalid performance and inform investigations regarding effort. These experimental findings represent a first step in exploring the potential clinical utility of the BKG as a measure of performance validity.

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Publication Details

Journal
Journal of Clinical and Experimental Neuropsychology
Published
2025-10-27
DOI
https://doi.org/10.1080/13803395.2025.2579175
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

A sensor-based gait measure for identifying invalid performance in simulated mTBI: an experimental proof of concept

Len Lecci, Julie C. Price
Journal of Clinical and Experimental Neuropsychology
Structural Health Monitoring Techniques
article

A sensor-based gait measure for identifying invalid performance in simulated mTBI: an experimental proof of concept

Len Lecci, Julie C. Price
article en

Abstract

Findings offer preliminary support for the ability of an automated gait-based measure to capture invalid performance and inform investigations regarding effort. These experimental findings represent a first step in exploring the potential clinical utility of the BKG as a measure of performance validity.

Journal of Clinical and Experimental NeuropsychologyVol. 48(1)
University of North Carolina Wilmington (US)
Openalex Percentile: Top 67%
Structural Health Monitoring Techniques
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A sensor-based gait measure for identifying invalid performance in simulated mTBI: an experimental proof of concept — Len Lecci, Julie C. Price · Journal of Clinical and Experimental Neuropsychology (2025) | TGRS Research Map | TGRS