ArticleSensors (Basel, Switzerland)2019
Appropriate Mother Wavelets for Continuous Gait Event Detection Based on Time-Frequency Analysis for Hemiplegic and Healthy Individuals.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review of Time Series Classification Techniques Used in Biomedical Applications.Sensors (Basel, Switzerland) · 2022Pooled it
- Machine Learning-Based Prognostic Prediction for Knee Osteoarthritis After High Tibial Osteotomy Using Wavelet-Derived Gait Features.Journal of functional morphology and kinesiology · 2026Article
- Tug-vimu: a GoPro-based mobility assessment bridging the gap between technology and clinical practice.Journal of neuroengineering and rehabilitation · 2025Article
- Automatic gait events detection with inertial measurement units: healthy subjects and moderate to severe impaired patients.Journal of neuroengineering and rehabilitation · 2024Article
- Human Gait Activity Recognition Machine Learning Methods.Sensors (Basel, Switzerland) · 2023Article
- Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases.Frontiers in neurology · 2023Article
- Evaluation of Arm Swing Features and Asymmetry during Gait in Parkinson's Disease Using the Azure Kinect Sensor.Sensors (Basel, Switzerland) · 2022Article
- Personalised Gait Recognition for People with Neurological Conditions.Sensors (Basel, Switzerland) · 2022Article
- A Deep Learning Approach for Gait Event Detection from a Single Shank-Worn IMU: Validation in Healthy and Neurological Cohorts.Sensors (Basel, Switzerland) · 2022Article
- The Diverse Gait Dataset: Gait Segmentation Using Inertial Sensors for Pedestrian Localization with Different Genders, Heights and Walking Speeds.Sensors (Basel, Switzerland) · 2022Article
- Validation of IMU-based gait event detection during curved walking and turning in older adults and Parkinson's Disease patients.Journal of neuroengineering and rehabilitation · 2021Article
- A Review of Gait Phase Detection Algorithms for Lower Limb Prostheses.Sensors (Basel, Switzerland) · 2020Review
- A Determination Method for Gait Event Based on Acceleration Sensors.Sensors (Basel, Switzerland) · 2019Article
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Authors and funding
7 authors.
Funding
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Abstract
Gait event detection is a crucial step towards the effective assessment and rehabilitation of motor dysfunctions. Recently, the continuous wavelet transform (CWT) based methods have been increasingly proposed for gait event detection due to their robustness. However, few investigations on determining the appropriate mother wavelet with proper selection criteria have been performed, especially for hemiplegic patients. In this study, the performances of commonly used mother wavelets in detecting gait events were systematically investigated. The acceleration signals from the tibialis anterior muscle of both healthy and hemiplegic subjects were recorded during ground walking and the two core gait events of heel strike (HS) and toe off (TO) were detected from the signal recordings by a CWT algorithm with different mother wavelets. Our results showed that the overall performance of the CWT algorithm in detecting the two gait events was significantly different when using various mother wavelets. By using different wavelet selection criteria, we also found that the accuracy criteria based on time-error minimization and F1-score maximization could provide the appropriate mother wavelet for gait event detection. The findings from this study will provide an insight on the selection of an appropriate mother wavelet for gait event detection and facilitate the development of adequate rehabilitation aids.
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