© The Institution of Engineering and Technology
The presented study highlights the feasibility and accuracy of novel computational methods based on a morphological filter and a least square acceleration filter to detect step events for evaluating normal and pathological gait parameters using a single accelerometer. This is the first evidence that demonstrates the feasibility and accuracy of the novel accelerometer-based system and methods in both normal and pathological populations.
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http://iet.metastore.ingenta.com/content/journals/10.1049/el.2010.0532
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