| Literature DB >> 30925710 |
Timothy McGrath1, Richard Fineman2, Leia Stirling3.
Abstract
The authors wish to make the following revisions to this paper [...].Entities:
Year: 2019 PMID: 30925710 PMCID: PMC6479793 DOI: 10.3390/s19071504
Source DB: PubMed Journal: Sensors (Basel) ISSN: 1424-8220 Impact factor: 3.576
Figure 5Selected Bland–Altman analyses; linear model given by with associated squared correlation coefficient , including sum of squared error (SSE) over n data points. Estimated data is the knee angle according to the proposed method on the simulated IMU data.
All terms in the reduced linear model. Significant parameters included thigh circumferential angle standard deviation (), median axis estimation error (), and the interaction between the two. Estimate is the estimated coefficient for the predictor variable (intercept or slope coefficient), SE is the standard error of the estimate, t is the associated t-statistic of the coefficient against the null hypothesis of a zero value, p is the p-value associated with the t-statistic. Significance was set as p < 0.05.
| Term | Estimate | SE | t | p |
|---|---|---|---|---|
| Constant | 4.723 | 0.546 | 8.651 |
|
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| −0.235 | 0.083 | −2.830 | 0.005 |
|
| −0.126 | 0.042 | −3.040 | 0.002 |
|
| 0.023 | 0.007 | 3.472 |
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