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| Content Provider | IET Digital Library |
|---|---|
| Author | Hu, W. W. Huang, Y. C. Li, C. P. |
| Abstract | Conventional linear regression analysis methods used to measure muscle fatigue based on mean power frequency (MPF) can yield results that are dependent on the epoch of each MPF value. An improved algorithm containing two window segmenting methods, overlapped and non-overlapped schemes, is provided to investigate the effect of window length on linear regression analysis during sustained isometric constant force muscle contraction. The minimal length of each segment can be determined by making the slope sign changes to be zero. In conclusion, the minimal length is independent of the epoch of each MPF value. |
| Starting Page | 89 |
| Ending Page | 91 |
| Page Count | 3 |
| ISSN | 00135194 |
| Volume Number | 49 |
| e-ISSN | 1350911X |
| Issue Number | Issue 2, Jan (2013) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/el/49/2 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/el.2012.2316 |
| Journal | Electronics Letters |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Biomechanics Biomedical Engineering Biomedical Measurement Biomedical Measurement And Imaging Linear Regression Analysis Mean Power Frequency MPF Value Muscle Muscle Fatigue Detection Algorithm Muscle Fatigue Measurement Nonoverlapped Scheme Overlapped Scheme Physics of Body Movement Regression Analysis Slope Sign Changes Statistics Sustained Isometric Constant Force Muscle Contraction Window Segmenting Method |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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