A Novel Multiscale Cross-Entropy Method Applied to Navigation Data Acquired with a Bike Simulator
| العنوان: | A Novel Multiscale Cross-Entropy Method Applied to Navigation Data Acquired with a Bike Simulator |
|---|---|
| المؤلفون: | Antoine Jamin, Guillaume T. Duval, Pierre Abraham, Anne Humeau-Heurtier, Cédric Annweiler |
| المساهمون: | Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS), Université d'Angers (UA), Biologie Neurovasculaire et Mitochondriale Intégrée (BNMI), Université d'Angers (UA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université d'Angers (UA) |
| المصدر: | 2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Jul 2019, Berlin, Germany. pp.733-736, ⟨10.1109/EMBC.2019.8856815⟩ EMBC |
| بيانات النشر: | HAL CCSD, 2019. |
| سنة النشر: | 2019 |
| مصطلحات موضوعية: | education.field_of_study, Computer science, Entropy (statistical thermodynamics), Entropy, Population, Cross-entropy method, 030204 cardiovascular system & hematology, 01 natural sciences, Bicycling, 010305 fluids & plasmas, 03 medical and health sciences, Entropy (classical thermodynamics), 0302 clinical medicine, Histogram, 0103 physical sciences, Entropy (information theory), Entropy (energy dispersal), Time series, education, Entropy (arrow of time), [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Simulation, ComputingMilieux_MISCELLANEOUS, Entropy (order and disorder) |
| الوصف: | We present herein a new approach - the so-called time-shift multiscale cross-distribution entropy (TSMCDE) - to quantify the complexity between two sequences. By analyzing biomedical data, we reveal that TSMCDE over-performs other cross-entropy measures. Thus, TSMCDE, multiscale cross-sample entropy (MCSE), multiscale cross-distribution entropy (MCDE), and time-shift multiscale cross-sample entropy (TSMCSE) were applied to handlebar angle and speed time series recorded from a bike simulator. Twenty-four subjects divided into two groups (12 subjects each) participated to the study. The first group corresponds to young healthy subjects. The second group corresponds to older adults with loss of autonomy. Our results show that a link may exist between complexity and the age and physical state of a population. Moreover, TSMCDE leads to a better differentiation of the two groups than MCSE, MCDE, and TSMCSE. TSMCDE should now be tested on other types of data and on larger datasets to prove its usefulness and its efficiency. |
| اللغة: | English |
| DOI: | 10.1109/EMBC.2019.8856815⟩ |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43b7c3112c4e19976821b3d413a172e5 https://hal.univ-angers.fr/hal-02324663 |
| Rights: | CLOSED |
| رقم الانضمام: | edsair.doi.dedup.....43b7c3112c4e19976821b3d413a172e5 |
| قاعدة البيانات: | OpenAIRE |
| DOI: | 10.1109/EMBC.2019.8856815⟩ |
|---|