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| Content Provider | Springer Nature Link |
|---|---|
| Author | Abbasi, Anees Qumar Loun, Wajid Aziz |
| Copyright Year | 2013 |
| Abstract | Signals obtained from biological systems exhibit pronounced complexity. The patterns of change contain valuable information about the dynamics of underlying control mechanism of the complex biological systems. Human gait is a complex process with multiple inputs and numerous outputs. Various complexity analysis tools have been proposed to extract information from human gait time series. In this study, we used recently developed threshold based symbolic entropy to compare the spontaneous output of the human locomotors system during constrained and metronomically paced walking protocols. For that purpose, stride interval time series of healthy subjects who walked for 1 h at normal, slow and fast rates under different conditions was transformed into symbol sequences. Normalized corrected Shannon entropy (NCSE) was computed from the symbol sequences of the stride interval time series. The findings indicated that the unprompted output of human locomotors system is more complex during unconstrained normal walking as compared with slow, fast or metronomically paced walking. |
| Starting Page | 417 |
| Ending Page | 422 |
| Page Count | 6 |
| File Format | |
| ISSN | 19398018 |
| Journal | Journal of Signal Processing Systems |
| Volume Number | 74 |
| Issue Number | 3 |
| e-ISSN | 19398115 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2013-08-08 |
| Publisher Place | Boston |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Gait dynamics Locomotors systems Shannon entropy Stride interval Symbolic entropy Signal, Image and Speech Processing Circuits and Systems Electrical Engineering Image Processing and Computer Vision Pattern Recognition Computer Imaging, Vision, Pattern Recognition and Graphics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Theoretical Computer Science Signal Processing Control and Systems Engineering Information Systems Modeling and Simulation Hardware and Architecture |
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