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Error and anomaly detection for intra-participant time-series data
Identification of errors or anomalous values, collectively considered outliers, assists in exploring data or through removing outliers improves statistical analysis. In biomechanics, outlier detection methods have explored the ‘shape’ of the entire cycles, although exploring fewer points using a ‘mo...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Taylor & Francis
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7857460/ http://dx.doi.org/10.1080/23335432.2017.1348913 |