2019
DOI: 10.3233/jpd-191700
|View full text |Cite
|
Sign up to set email alerts
|

How to Annotate Freezing of Gait from Video: A Standardized Method Using Open-Source Software

Abstract: Visually scoring freezing of gait (FOG) from video is increasingly recognized as the gold-standard for assessing FOG severity in Parkinson's disease. Surprisingly, no guidelines exist on how to visually score FOG. Here, I present a free template that can be implemented in open-source software to annotate FOG from video. I provide a user guide on how to implement the template and standardize the scoring of FOG and the percentage of time spent with FOG (%FOG). It is hoped that by disseminating this method invest… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
55
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 50 publications
(55 citation statements)
references
References 11 publications
0
55
0
Order By: Relevance
“…The NFOG‐Q scores did not correlate with either the duration ( r = 0.35, P = 0.095) or frequency ( r = 0.30, P = 0.15) of the video‐rated procedure. Several studies suggested that video annotations of FOG‐provoking tasks could be used as the gold standard for rating freezing severity . However, this method is very labor intensive as it should ideally be done by at least 2 independent raters in a standardized manner to allow for comparison between studies .…”
Section: Discussionmentioning
confidence: 99%
See 3 more Smart Citations
“…The NFOG‐Q scores did not correlate with either the duration ( r = 0.35, P = 0.095) or frequency ( r = 0.30, P = 0.15) of the video‐rated procedure. Several studies suggested that video annotations of FOG‐provoking tasks could be used as the gold standard for rating freezing severity . However, this method is very labor intensive as it should ideally be done by at least 2 independent raters in a standardized manner to allow for comparison between studies .…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, in the future, the field needs to move toward unobtrusive home‐based assessment of FOG using digitized mobility outcomes, as was recently suggested by Mancini and colleagues . Combining video annotations with wearable sensor‐based data collected during standardized tests will permit the necessary validation of FOG algorithms for domestic use, allowing data collection spanning for much longer time periods (days or potentially even weeks) . Whether objectively and remotely measured FOG detection during spontaneous daily mobility is suitable as a primary outcome for clinical trials (with good test‐retest and MDC values) remains to be determined.…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…The main strength of this study is the volume of captured gait interruptions that included over 550 freezes, cognitive stops and stumbles from a series of walks that varied in cognitive and motor complexity. We used definitions and terminology similar to that described in recent study that also used video recording to document FOG episodes [44]. One difference relates to the commencement of FOG where Gilat defined FOG starting when the foot no longer takes an effective step, whereas we took the last heel strike of the last full step as the FOG commencement point as it is easier to precisely identify.…”
Section: Strengths and Limitationsmentioning
confidence: 99%