Back to Search
Start Over
Validation of a velocity-based algorithm to quantify saccades during walking and turning in mild traumatic brain injury and healthy controls.
- Source :
-
Physiological measurement [Physiol Meas] 2019 Apr 26; Vol. 40 (4), pp. 044006. Date of Electronic Publication: 2019 Apr 26. - Publication Year :
- 2019
-
Abstract
- Objective: Saccadic (fast) eye movements are a routine aspect of neurological examination and are a potential biomarker of mild traumatic brain injury (mTBI). Objective measurement of saccades has become a prominent focus of mTBI research, as eye movements may be a useful assessment tool for deficits in neural structures or processes. However, saccadic measurement within mobile infra-red (IR) eye-tracker raw data requires a valid algorithm. The objective of this study was to validate a velocity-based algorithm for saccade detection in IR eye-tracking raw data during walking (straight ahead and while turning) in people with mTBI and healthy controls.<br />Approach: Eye-tracking via a mobile IR Tobii Pro Glasses 2 eye-tracker (100 Hz) was performed in people with mTBI (n = 10) and healthy controls (n = 10). Participants completed two walking tasks: straight walking (walking back and forth for 1 min over a 10 m distance), and walking and turning (turns course included 45°, 90° and 135° turns). Five trials per subject, for one-hundred total trials, were completed. A previously reported velocity-based saccade detection algorithm was adapted and validated by assessing agreement between algorithm saccade detections and the number of correct saccade detections determined from manual video inspection (ground truth reference).<br />Main Results: Compared with video inspection, the IR algorithm detected ~97% (n = 4888) and ~95% (n = 3699) of saccades made by people with mTBI and controls, respectively, with excellent agreement to the ground truth (intra-class correlation coefficient <subscript>2,1</subscript> = .979 to .999).<br />Significance: This study provides a simple yet highly robust algorithm for the processing of mobile eye-tracker raw data in mTBI and controls. Future studies may consider validating this algorithm with other IR eye-trackers and populations.
Details
- Language :
- English
- ISSN :
- 1361-6579
- Volume :
- 40
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Physiological measurement
- Publication Type :
- Academic Journal
- Accession number :
- 30943463
- Full Text :
- https://doi.org/10.1088/1361-6579/ab159d