Multiple-Wearable-Sensor-Based Gait Classification and Analysis in Patients with Neurological Disorders

Multiple-Wearable-Sensor-Based Gait Classification and Analysis in Patients with Neurological Disorders

The aim of this study was to conduct a comprehensive analysis of the placement of multiple wearable sensors for the purpose of analyzing and classifying the gaits of patients with neurological disorders. Seven inertial measurement unit (IMU) sensors were placed at seven locations: the lower back (L5...

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Bibliographic Details
Main Authors: Wei-Chun Hsu, Tommy Sugiarto, Yi-Jia Lin, Fu-Chi Yang, Zheng-Yi Lin, Chi-Tien Sun, Chun-Lung Hsu, Kuan-Nien Chou
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Sensors
Subjects:
wearable device
gait analysis
IMU sensors
gait classification
stroke patients
neurological disorders
Online Access:https://www.mdpi.com/1424-8220/18/10/3397
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