Body Sensor Network-Based Gait Quality Assessment for Clinical Decision-Support via Multi-Sensor Fusion

Body Sensor Network-Based Gait Quality Assessment for Clinical Decision-Support via Multi-Sensor Fusion

This paper presents a versatile multi-sensor fusion method and decision-making algorithm for ambulatory and continuous patient monitoring purposes via a body sensor network (BSN). Gait features including spatio-temporal parameters, gait asymmetry, and regularity were identified and estimated from in...

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Bibliographic Details
Main Authors: Sen Qiu, Long Liu, Zhelong Wang, Shengming Li, Hongyu Zhao, Jiaxin Wang, Jinxiao Li, Kai Tang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Wearable computing
inertial sensors
feature-level fusion
machine learning
Online Access:https://ieeexplore.ieee.org/document/8701693/

Internet

https://ieeexplore.ieee.org/document/8701693/

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