Drift removal for improving the accuracy of gait parameters using wearable sensor systems

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ID: 114637
2014
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Abstract
Accumulated signal noise will cause the integrated values to drift from the true value when measuring orientation angles of wearable sensors. This work proposes a novel method to reduce the effect of this drift to accurately measure human gait using wearable sensors. Firstly, an infinite impulse res …
Reference Key
r2014sensorsdrift Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Takeda R;Lisco G;Fujisawa T;Gastaldi L;Tohyama H;Tadano S;;
Journal sensors
Year 2014
DOI
DOI not found
URL
https://www.ncbi.nlm.nih.gov/sites/entrez/25490587
Keywords
Monitoring National Center for Biotechnology Information NCBI NLM MEDLINE humans pubmed abstract nih national institutes of health national library of medicine reproducibility of results equipment design sensitivity and specificity Evaluation Study actigraphy / methods algorithms* computer-assisted signal processing signal-to-noise ratio equipment failure analysis transducers* shigeru tadano pmid:25490587 pmc4299060 doi:10.3390/s141223230 ryo takeda giulia lisco actigraphy / instrumentation* artifacts* gait / physiology* leg / physiology ambulatory / instrumentation* ambulatory / methods

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