Abnormal Gait Detection Using Discrete Fourier Transform
MUE '08 Proceedings of the 2008 International Conference on Multimedia and Ubiquitous Engineering
TEMPO 3.1: A Body Area Sensor Network Platform for Continuous Movement Assessment
BSN '09 Proceedings of the 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks
Extracting Spatio-Temporal Information from Inertial Body Sensor Networks for Gait Speed Estimation
BSN '11 Proceedings of the 2011 International Conference on Body Sensor Networks
Estimation of Center of Mass Displacement Based on Gait Analysis
BSN '11 Proceedings of the 2011 International Conference on Body Sensor Networks
Spoof Attacks on Gait Authentication System
IEEE Transactions on Information Forensics and Security - Part 2
Aiding diagnosis of normal pressure hydrocephalus with enhanced gait feature separability
Proceedings of the conference on Wireless Health
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Assessment of gait and posture as symptoms has been the primary concern in the diagnosis and treatment of normal pressure hydrocephalus (NPH), a disease in which there is excessive accumulation of cerebrospinal fluid (CSF) in the brain. Diagnosis of NPH is usually initiated by a high volume lumbar puncture (HVLP) followed by the evaluation of clinical response to removal of CSF. In this paper, we analyze the gait movement of a patient using inertial body sensor nodes and capture features pre and post HVLP. This method provides a quantitative measure of gait assessment. The features extracted from a patient's gait are found to strongly correlate with the assessment recorded manually by the physician conducting the study.