A Low-Cost, Autonomous Gait Detection and Estimation System for Analyzing Gait Impairments in Mice

With the advancement in imaging technology, many commercial systems have been developed for performing motion analysis in mice. However, available commercial systems are expensive and use proprietary software. In this paper, we describe a low-cost, camera-based design of an autonomous gait acquisiti...

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Autores principales:	Pranav U. Damale, Edwin K. P. Chong, Sean L. Hammond, Ronald B. Tjalkens
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Medicine (General) R5-920 Medical technology R855-855.5
Acceso en línea:	https://doaj.org/article/70f36f463ebd49a683be22e3be620b3a
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spelling	oai:doaj.org-article:70f36f463ebd49a683be22e3be620b3a2021-11-22T01:09:43ZA Low-Cost, Autonomous Gait Detection and Estimation System for Analyzing Gait Impairments in Mice2040-230910.1155/2021/9937904https://doaj.org/article/70f36f463ebd49a683be22e3be620b3a2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/9937904https://doaj.org/toc/2040-2309With the advancement in imaging technology, many commercial systems have been developed for performing motion analysis in mice. However, available commercial systems are expensive and use proprietary software. In this paper, we describe a low-cost, camera-based design of an autonomous gait acquisition and analysis system for inspecting gait deficits in C57BL/6 mice. Our system includes video acquisition, autonomous gait-event detection, gait-parameter extraction, and result visualization. We provide a simple, user-friendly, step-by-step detailed methodology to apply well-known image processing techniques for detecting mice footfalls and calculating various gait parameters for analyzing gait abnormalities in healthy and neurotraumatic mice. The system was used in a live animal study for assessing recovery in a mouse model of Parkinson’s disease. Using the videos acquired in the study, we validate the performance of our system with receiver operating characteristic (ROC) and Hit : Miss : False (H : M : F) detection analyses. Our system correctly detected the mice footfalls with an average H : M : F score of 92.1 : 2.3 : 5.6. The values for the area under an ROC curve for all the ROC plots are above 0.95, which indicates an almost perfect detection model. The ROC and H : M : F analyses show that our system produces accurate gait detection. The results observed from the gait assessment study are in agreement with the known literature. This demonstrates the practical viability of our system as a gait analysis tool.Pranav U. DamaleEdwin K. P. ChongSean L. HammondRonald B. TjalkensHindawi LimitedarticleMedicine (General)R5-920Medical technologyR855-855.5ENJournal of Healthcare Engineering, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine (General) R5-920 Medical technology R855-855.5
spellingShingle	Medicine (General) R5-920 Medical technology R855-855.5 Pranav U. Damale Edwin K. P. Chong Sean L. Hammond Ronald B. Tjalkens A Low-Cost, Autonomous Gait Detection and Estimation System for Analyzing Gait Impairments in Mice
description	With the advancement in imaging technology, many commercial systems have been developed for performing motion analysis in mice. However, available commercial systems are expensive and use proprietary software. In this paper, we describe a low-cost, camera-based design of an autonomous gait acquisition and analysis system for inspecting gait deficits in C57BL/6 mice. Our system includes video acquisition, autonomous gait-event detection, gait-parameter extraction, and result visualization. We provide a simple, user-friendly, step-by-step detailed methodology to apply well-known image processing techniques for detecting mice footfalls and calculating various gait parameters for analyzing gait abnormalities in healthy and neurotraumatic mice. The system was used in a live animal study for assessing recovery in a mouse model of Parkinson’s disease. Using the videos acquired in the study, we validate the performance of our system with receiver operating characteristic (ROC) and Hit : Miss : False (H : M : F) detection analyses. Our system correctly detected the mice footfalls with an average H : M : F score of 92.1 : 2.3 : 5.6. The values for the area under an ROC curve for all the ROC plots are above 0.95, which indicates an almost perfect detection model. The ROC and H : M : F analyses show that our system produces accurate gait detection. The results observed from the gait assessment study are in agreement with the known literature. This demonstrates the practical viability of our system as a gait analysis tool.
format	article
author	Pranav U. Damale Edwin K. P. Chong Sean L. Hammond Ronald B. Tjalkens
author_facet	Pranav U. Damale Edwin K. P. Chong Sean L. Hammond Ronald B. Tjalkens
author_sort	Pranav U. Damale
title	A Low-Cost, Autonomous Gait Detection and Estimation System for Analyzing Gait Impairments in Mice
title_short	A Low-Cost, Autonomous Gait Detection and Estimation System for Analyzing Gait Impairments in Mice
title_full	A Low-Cost, Autonomous Gait Detection and Estimation System for Analyzing Gait Impairments in Mice
title_fullStr	A Low-Cost, Autonomous Gait Detection and Estimation System for Analyzing Gait Impairments in Mice
title_full_unstemmed	A Low-Cost, Autonomous Gait Detection and Estimation System for Analyzing Gait Impairments in Mice
title_sort	low-cost, autonomous gait detection and estimation system for analyzing gait impairments in mice
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/70f36f463ebd49a683be22e3be620b3a
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A Low-Cost, Autonomous Gait Detection and Estimation System for Analyzing Gait Impairments in Mice

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