Quantitative gait analysis of idiopathic normal pressure hydrocephalus using deep learning algorithms on monocular videos

Abstract

A vision-based gait analysis method using monocular videos was proposed to estimate temporo-spatial gait parameters by leveraging deep learning algorithms. This study aimed to validate vision-based gait analysis using GAITRite as the reference system and analyze relationships between Frontal Assessment Battery (FAB) scores and gait variability measured by vision-based gait analysis in idiopathic normal pressure hydrocephalus (INPH) patients. Gait data from 46 patients were simultaneously collected from the vision-based system utilizing deep learning algorithms and the GAITRite system. There was a strong correlation in 11 gait parameters between our vision-based gait analysis method and the GAITRite gait analysis system. Our results also demonstrated excellent agreement between the two measurement systems for all parameters except stride time variability after the cerebrospinal fluid tap test. Our data showed that stride time and stride length variability measured by the vision-based gait analysis system were correlated with FAB scores. Vision-based gait analysis utilizing deep learning algorithms can provide comparable data to GAITRite when assessing gait dysfunction in INPH. Frontal lobe functions may be associated with gait variability measurements using vision-based gait analysis for INPH patients.

Boosting phase-contrast MRI performance in idiopathic normal pressure hydrocephalus diagnostics by means of machine learning approach

“…ML approaches have already been successfully utilized in medical research. 34 Regarding iNPH, a few models have used this technique, for example, in gait 35 or MRI 36 analysis. To our knowledge, no ML approach has been applied to enhance the results of CSF flowmetry.…”

TRPV4 mRNA is elevated in the caudate nucleus with NPH but not in Alzheimer’s disease

“…The most common form of hydrocephalus in ‘adults’ is iNPH ( Williams and Malm, 2016 ), which is often confused with AD due to similarities in symptoms ( Graff-Radford, 2014 ; Yamada et al, 2016 ). Although the cognitive impairment can be confused between the NPH and AD, gait dysfunction is a primary differentiating feature, which is present in NPH but not in AD ( He D. et al, 2021 ; He M. et al, 2021 ; Chunyan et al, 2021 ; Davis et al, 2021 ; Hnin et al, 2021 ; Jeong et al, 2021 ; Kuruvithadam et al, 2021 ; Morel et al, 2021 ; Nikaido et al, 2021 ; Tang et al, 2021 ; Yamada et al, 2021 ; Maier et al, 2022 ; Nikaido et al, 2022 ; Sun et al, 2022 ; Suzuki et al, 2022 ).…”