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Health & Gait: a dataset for gait-based analysis Article Open access 10 January 2025 Introduction Contemporary research investigates free-living fall risk through habitual (community-based) monitoring with wearable inertial measurement units (IMUs), i.e., devices with accelerometers and/or gyroscopes...
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Postural instability is one of the most disabling motor signs of Parkinson’s disease (PD) and often underlies an increased likelihood of falling and loss of independence. Current clinical assessments of PD-related postural instability are based on a ret
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Export-CMDriverPackage Export-CMPackage Export-CMQuery Export-CMSecurityRole Export-CMTaskSequence Get-CMAADApplication Get-CMAADTenant Get-CMAccessAccount Get-CMAccessLicense Get-CMAccount Get-CMActiveDirectoryForest Get-CMActiveDirectorySite Get-CMAdministrativeUser Get-CMAdvancedThreatProtectionPolicy Get...
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Machine learning can be also used to evaluate fall characteristics, which can support a monitoring system for the strategic plan and fall prediction of the elderly and impaired population [27]. Fall detection of the elderly population can be inferred by incorporating barometric pressure and tri-...
The data segmentation was performed using MATLAB software. 2.4. Machine Learning-Based Classifiers In this study, four classifiers were used to classify gait data, including the convolutional neural network (CNN), long short-term memory (LSTM) neural network, support vector machine (SVM), and K-...
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