ArticleScientific reports2022
Four-limb wireless IMU sensor system for automatic gait detection in canines.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Artificial Intelligence in Veterinary Neurology: Comparative Insights From Human Medicine and Cross-Species Technology Transfer.Veterinary medicine and science · 2026Review
- A refined porcine lumbar spinal cord injury model facilitating postoperative care.IBRO neuroscience reports · 2026Article
- Canine gait analysis using inertial sensors and deep learning for orthopedic and neurological disorders.Scientific reports · 2026Article
- Physical Activity Monitors in Companion Animal Chronic Pain Research-A Review Focused on Osteoarthritis Pain.Animals : an open access journal from MDPI · 2025Review
- Forelimb muscle activity during level and progressive incline and decline walking in dogs and implications for rehabilitation.Frontiers in veterinary science · 2025Article
- IMU Airtime Detection in Snowboard Halfpipe: U-Net Deep Learning Approach Outperforms Traditional Threshold Algorithms.Sensors (Basel, Switzerland) · 2024Article
- Extraction of canine gait characteristics using a mobile gait analysis system based on inertial measurement units.Veterinary and animal science · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
This study aims to develop a 4-limb canine gait analysis system using wireless inertial measurement units (IMUs). 3D printed sensor holders were designed to ensure quick and consistent sensor mounting. Signal analysis algorithms were developed to automatically determine the timing of swing start and end in a stride. To evaluate the accuracy of the new system, a synchronized study was conducted in which stride parameters in four dogs were measured simultaneously using the 4-limb IMU system and a pressure-sensor based walkway gait system. The results showed that stride parameters measured in both systems were highly correlated. Bland-Altman analyses revealed a nominal mean measurement bias between the two systems in both forelimbs and hindlimbs. Overall, the disagreement between the two systems was less than 10% of the mean value in over 92% of the data points acquired from forelimbs. The same performance was observed in hindlimbs except for one parameter due to small mean values. We demonstrated that this 4-limb system could successfully visualize the overall gait types and identify rapid gait changes in dogs. This method provides an effective, low-cost tool for gait studies in veterinary applications or in translational studies using dog models of neuromuscular diseases.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.