An improved intermittent control model of postural sway during quiet standing implemented by a data driven approach

This paper proposes a new intermittent control model during human quiet standing, which is consisted of postulated “regular intervention” and “imminent intervention”. The regular intervention is within the main control loop, and its trigger condition is equivalent to the switching frequency of cente...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Gao, Maosheng [verfasserIn] Chen, Kai [verfasserIn] Yang, Ying [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2024

Schlagwörter:	Intermittent control Quiet standing Center of pressure Bayesian regression

Übergeordnetes Werk:	Enthalten in: Journal of biomechanics - Amsterdam [u.a.] : Elsevier Science, 1968, 163
Übergeordnetes Werk:	volume:163

DOI / URN:	10.1016/j.jbiomech.2023.111921

Katalog-ID:	ELV066897130

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100	1		\|a Gao, Maosheng \|e verfasserin \|4 aut
245	1	0	\|a An improved intermittent control model of postural sway during quiet standing implemented by a data driven approach
264		1	\|c 2024
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337			\|a Computermedien \|b c \|2 rdamedia
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520			\|a This paper proposes a new intermittent control model during human quiet standing, which is consisted of postulated “regular intervention” and “imminent intervention”. The regular intervention is within the main control loop, and its trigger condition is equivalent to the switching frequency of center of pressure (COP) data calculated by wavelet transform. The imminent intervention will only be triggered after the postural sway angle exceeds a certain threshold. In order to prove the effectiveness of the new model, the simulation results of the new model and the model proposed by Asai et al. (2009) are compared with the experimental data. The setting parameters of both models are retrieved by Bayesian regression from the experimental data. The results show that the new model not only could exhibit two power law scaling regimes of power spectral density (PSD) of COP, but also show that indices of the probability density function distance, root mean square (RMS), Total Sway Path, displacement Range, 50% power frequency of center of mass (COP) between the simulation results and the experimental data are closer compared to the existing model. Moreover, the limit cycle oscillations (LCOs) obtained from the simulation results of the new model have a higher degree of matching with those retrieved from the experimental data.
650		4	\|a Intermittent control
650		4	\|a Quiet standing
650		4	\|a Center of pressure
650		4	\|a Bayesian regression
700	1		\|a Chen, Kai \|e verfasserin \|4 aut
700	1		\|a Yang, Ying \|e verfasserin \|4 aut
773	0	8	\|i Enthalten in \|t Journal of biomechanics \|d Amsterdam [u.a.] : Elsevier Science, 1968 \|g 163 \|h Online-Ressource \|w (DE-627)306587947 \|w (DE-600)1498351-5 \|w (DE-576)081953054 \|x 1873-2380 \|7 nnns
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936	b	k	\|a 76.12 \|j Biomechanik \|j Bewegungslehre \|q VZ
936	b	k	\|a 44.83 \|j Rheumatologie \|j Orthopädie \|q VZ
951			\|a AR
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publishDate	2024
allfields	10.1016/j.jbiomech.2023.111921 doi (DE-627)ELV066897130 (ELSEVIER)S0021-9290(23)00492-X DE-627 ger DE-627 rda eng 570 796 VZ 31 ssgn BIODIV DE-30 fid 76.12 bkl 44.83 bkl Gao, Maosheng verfasserin aut An improved intermittent control model of postural sway during quiet standing implemented by a data driven approach 2024 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper proposes a new intermittent control model during human quiet standing, which is consisted of postulated “regular intervention” and “imminent intervention”. The regular intervention is within the main control loop, and its trigger condition is equivalent to the switching frequency of center of pressure (COP) data calculated by wavelet transform. The imminent intervention will only be triggered after the postural sway angle exceeds a certain threshold. In order to prove the effectiveness of the new model, the simulation results of the new model and the model proposed by Asai et al. (2009) are compared with the experimental data. The setting parameters of both models are retrieved by Bayesian regression from the experimental data. The results show that the new model not only could exhibit two power law scaling regimes of power spectral density (PSD) of COP, but also show that indices of the probability density function distance, root mean square (RMS), Total Sway Path, displacement Range, 50% power frequency of center of mass (COP) between the simulation results and the experimental data are closer compared to the existing model. Moreover, the limit cycle oscillations (LCOs) obtained from the simulation results of the new model have a higher degree of matching with those retrieved from the experimental data. Intermittent control Quiet standing Center of pressure Bayesian regression Chen, Kai verfasserin aut Yang, Ying verfasserin aut Enthalten in Journal of biomechanics Amsterdam [u.a.] : Elsevier Science, 1968 163 Online-Ressource (DE-627)306587947 (DE-600)1498351-5 (DE-576)081953054 1873-2380 nnns volume:163 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 76.12 Biomechanik Bewegungslehre VZ 44.83 Rheumatologie Orthopädie VZ AR 163
spelling	10.1016/j.jbiomech.2023.111921 doi (DE-627)ELV066897130 (ELSEVIER)S0021-9290(23)00492-X DE-627 ger DE-627 rda eng 570 796 VZ 31 ssgn BIODIV DE-30 fid 76.12 bkl 44.83 bkl Gao, Maosheng verfasserin aut An improved intermittent control model of postural sway during quiet standing implemented by a data driven approach 2024 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper proposes a new intermittent control model during human quiet standing, which is consisted of postulated “regular intervention” and “imminent intervention”. The regular intervention is within the main control loop, and its trigger condition is equivalent to the switching frequency of center of pressure (COP) data calculated by wavelet transform. The imminent intervention will only be triggered after the postural sway angle exceeds a certain threshold. In order to prove the effectiveness of the new model, the simulation results of the new model and the model proposed by Asai et al. (2009) are compared with the experimental data. The setting parameters of both models are retrieved by Bayesian regression from the experimental data. The results show that the new model not only could exhibit two power law scaling regimes of power spectral density (PSD) of COP, but also show that indices of the probability density function distance, root mean square (RMS), Total Sway Path, displacement Range, 50% power frequency of center of mass (COP) between the simulation results and the experimental data are closer compared to the existing model. Moreover, the limit cycle oscillations (LCOs) obtained from the simulation results of the new model have a higher degree of matching with those retrieved from the experimental data. Intermittent control Quiet standing Center of pressure Bayesian regression Chen, Kai verfasserin aut Yang, Ying verfasserin aut Enthalten in Journal of biomechanics Amsterdam [u.a.] : Elsevier Science, 1968 163 Online-Ressource (DE-627)306587947 (DE-600)1498351-5 (DE-576)081953054 1873-2380 nnns volume:163 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 76.12 Biomechanik Bewegungslehre VZ 44.83 Rheumatologie Orthopädie VZ AR 163
allfields_unstemmed	10.1016/j.jbiomech.2023.111921 doi (DE-627)ELV066897130 (ELSEVIER)S0021-9290(23)00492-X DE-627 ger DE-627 rda eng 570 796 VZ 31 ssgn BIODIV DE-30 fid 76.12 bkl 44.83 bkl Gao, Maosheng verfasserin aut An improved intermittent control model of postural sway during quiet standing implemented by a data driven approach 2024 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper proposes a new intermittent control model during human quiet standing, which is consisted of postulated “regular intervention” and “imminent intervention”. The regular intervention is within the main control loop, and its trigger condition is equivalent to the switching frequency of center of pressure (COP) data calculated by wavelet transform. The imminent intervention will only be triggered after the postural sway angle exceeds a certain threshold. In order to prove the effectiveness of the new model, the simulation results of the new model and the model proposed by Asai et al. (2009) are compared with the experimental data. The setting parameters of both models are retrieved by Bayesian regression from the experimental data. The results show that the new model not only could exhibit two power law scaling regimes of power spectral density (PSD) of COP, but also show that indices of the probability density function distance, root mean square (RMS), Total Sway Path, displacement Range, 50% power frequency of center of mass (COP) between the simulation results and the experimental data are closer compared to the existing model. Moreover, the limit cycle oscillations (LCOs) obtained from the simulation results of the new model have a higher degree of matching with those retrieved from the experimental data. Intermittent control Quiet standing Center of pressure Bayesian regression Chen, Kai verfasserin aut Yang, Ying verfasserin aut Enthalten in Journal of biomechanics Amsterdam [u.a.] : Elsevier Science, 1968 163 Online-Ressource (DE-627)306587947 (DE-600)1498351-5 (DE-576)081953054 1873-2380 nnns volume:163 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 76.12 Biomechanik Bewegungslehre VZ 44.83 Rheumatologie Orthopädie VZ AR 163
allfieldsGer	10.1016/j.jbiomech.2023.111921 doi (DE-627)ELV066897130 (ELSEVIER)S0021-9290(23)00492-X DE-627 ger DE-627 rda eng 570 796 VZ 31 ssgn BIODIV DE-30 fid 76.12 bkl 44.83 bkl Gao, Maosheng verfasserin aut An improved intermittent control model of postural sway during quiet standing implemented by a data driven approach 2024 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper proposes a new intermittent control model during human quiet standing, which is consisted of postulated “regular intervention” and “imminent intervention”. The regular intervention is within the main control loop, and its trigger condition is equivalent to the switching frequency of center of pressure (COP) data calculated by wavelet transform. The imminent intervention will only be triggered after the postural sway angle exceeds a certain threshold. In order to prove the effectiveness of the new model, the simulation results of the new model and the model proposed by Asai et al. (2009) are compared with the experimental data. The setting parameters of both models are retrieved by Bayesian regression from the experimental data. The results show that the new model not only could exhibit two power law scaling regimes of power spectral density (PSD) of COP, but also show that indices of the probability density function distance, root mean square (RMS), Total Sway Path, displacement Range, 50% power frequency of center of mass (COP) between the simulation results and the experimental data are closer compared to the existing model. Moreover, the limit cycle oscillations (LCOs) obtained from the simulation results of the new model have a higher degree of matching with those retrieved from the experimental data. Intermittent control Quiet standing Center of pressure Bayesian regression Chen, Kai verfasserin aut Yang, Ying verfasserin aut Enthalten in Journal of biomechanics Amsterdam [u.a.] : Elsevier Science, 1968 163 Online-Ressource (DE-627)306587947 (DE-600)1498351-5 (DE-576)081953054 1873-2380 nnns volume:163 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 76.12 Biomechanik Bewegungslehre VZ 44.83 Rheumatologie Orthopädie VZ AR 163
allfieldsSound	10.1016/j.jbiomech.2023.111921 doi (DE-627)ELV066897130 (ELSEVIER)S0021-9290(23)00492-X DE-627 ger DE-627 rda eng 570 796 VZ 31 ssgn BIODIV DE-30 fid 76.12 bkl 44.83 bkl Gao, Maosheng verfasserin aut An improved intermittent control model of postural sway during quiet standing implemented by a data driven approach 2024 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper proposes a new intermittent control model during human quiet standing, which is consisted of postulated “regular intervention” and “imminent intervention”. The regular intervention is within the main control loop, and its trigger condition is equivalent to the switching frequency of center of pressure (COP) data calculated by wavelet transform. The imminent intervention will only be triggered after the postural sway angle exceeds a certain threshold. In order to prove the effectiveness of the new model, the simulation results of the new model and the model proposed by Asai et al. (2009) are compared with the experimental data. The setting parameters of both models are retrieved by Bayesian regression from the experimental data. The results show that the new model not only could exhibit two power law scaling regimes of power spectral density (PSD) of COP, but also show that indices of the probability density function distance, root mean square (RMS), Total Sway Path, displacement Range, 50% power frequency of center of mass (COP) between the simulation results and the experimental data are closer compared to the existing model. Moreover, the limit cycle oscillations (LCOs) obtained from the simulation results of the new model have a higher degree of matching with those retrieved from the experimental data. Intermittent control Quiet standing Center of pressure Bayesian regression Chen, Kai verfasserin aut Yang, Ying verfasserin aut Enthalten in Journal of biomechanics Amsterdam [u.a.] : Elsevier Science, 1968 163 Online-Ressource (DE-627)306587947 (DE-600)1498351-5 (DE-576)081953054 1873-2380 nnns volume:163 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 76.12 Biomechanik Bewegungslehre VZ 44.83 Rheumatologie Orthopädie VZ AR 163
language	English
source	Enthalten in Journal of biomechanics 163 volume:163
sourceStr	Enthalten in Journal of biomechanics 163 volume:163
format_phy_str_mv	Article
bklname	Biomechanik Bewegungslehre Rheumatologie Orthopädie
institution	findex.gbv.de
topic_facet	Intermittent control Quiet standing Center of pressure Bayesian regression
dewey-raw	570
isfreeaccess_bool	false
container_title	Journal of biomechanics
authorswithroles_txt_mv	Gao, Maosheng @@aut@@ Chen, Kai @@aut@@ Yang, Ying @@aut@@
publishDateDaySort_date	2024-01-01T00:00:00Z
hierarchy_top_id	306587947
dewey-sort	3570
id	ELV066897130
language_de	englisch
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author	Gao, Maosheng
spellingShingle	Gao, Maosheng ddc 570 ssgn 31 fid BIODIV bkl 76.12 bkl 44.83 misc Intermittent control misc Quiet standing misc Center of pressure misc Bayesian regression An improved intermittent control model of postural sway during quiet standing implemented by a data driven approach
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topic_title	570 796 VZ 31 ssgn BIODIV DE-30 fid 76.12 bkl 44.83 bkl An improved intermittent control model of postural sway during quiet standing implemented by a data driven approach Intermittent control Quiet standing Center of pressure Bayesian regression
topic	ddc 570 ssgn 31 fid BIODIV bkl 76.12 bkl 44.83 misc Intermittent control misc Quiet standing misc Center of pressure misc Bayesian regression
topic_unstemmed	ddc 570 ssgn 31 fid BIODIV bkl 76.12 bkl 44.83 misc Intermittent control misc Quiet standing misc Center of pressure misc Bayesian regression
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title	An improved intermittent control model of postural sway during quiet standing implemented by a data driven approach
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title_full	An improved intermittent control model of postural sway during quiet standing implemented by a data driven approach
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title_sort	an improved intermittent control model of postural sway during quiet standing implemented by a data driven approach
title_auth	An improved intermittent control model of postural sway during quiet standing implemented by a data driven approach
abstract	This paper proposes a new intermittent control model during human quiet standing, which is consisted of postulated “regular intervention” and “imminent intervention”. The regular intervention is within the main control loop, and its trigger condition is equivalent to the switching frequency of center of pressure (COP) data calculated by wavelet transform. The imminent intervention will only be triggered after the postural sway angle exceeds a certain threshold. In order to prove the effectiveness of the new model, the simulation results of the new model and the model proposed by Asai et al. (2009) are compared with the experimental data. The setting parameters of both models are retrieved by Bayesian regression from the experimental data. The results show that the new model not only could exhibit two power law scaling regimes of power spectral density (PSD) of COP, but also show that indices of the probability density function distance, root mean square (RMS), Total Sway Path, displacement Range, 50% power frequency of center of mass (COP) between the simulation results and the experimental data are closer compared to the existing model. Moreover, the limit cycle oscillations (LCOs) obtained from the simulation results of the new model have a higher degree of matching with those retrieved from the experimental data.
abstractGer	This paper proposes a new intermittent control model during human quiet standing, which is consisted of postulated “regular intervention” and “imminent intervention”. The regular intervention is within the main control loop, and its trigger condition is equivalent to the switching frequency of center of pressure (COP) data calculated by wavelet transform. The imminent intervention will only be triggered after the postural sway angle exceeds a certain threshold. In order to prove the effectiveness of the new model, the simulation results of the new model and the model proposed by Asai et al. (2009) are compared with the experimental data. The setting parameters of both models are retrieved by Bayesian regression from the experimental data. The results show that the new model not only could exhibit two power law scaling regimes of power spectral density (PSD) of COP, but also show that indices of the probability density function distance, root mean square (RMS), Total Sway Path, displacement Range, 50% power frequency of center of mass (COP) between the simulation results and the experimental data are closer compared to the existing model. Moreover, the limit cycle oscillations (LCOs) obtained from the simulation results of the new model have a higher degree of matching with those retrieved from the experimental data.
abstract_unstemmed	This paper proposes a new intermittent control model during human quiet standing, which is consisted of postulated “regular intervention” and “imminent intervention”. The regular intervention is within the main control loop, and its trigger condition is equivalent to the switching frequency of center of pressure (COP) data calculated by wavelet transform. The imminent intervention will only be triggered after the postural sway angle exceeds a certain threshold. In order to prove the effectiveness of the new model, the simulation results of the new model and the model proposed by Asai et al. (2009) are compared with the experimental data. The setting parameters of both models are retrieved by Bayesian regression from the experimental data. The results show that the new model not only could exhibit two power law scaling regimes of power spectral density (PSD) of COP, but also show that indices of the probability density function distance, root mean square (RMS), Total Sway Path, displacement Range, 50% power frequency of center of mass (COP) between the simulation results and the experimental data are closer compared to the existing model. Moreover, the limit cycle oscillations (LCOs) obtained from the simulation results of the new model have a higher degree of matching with those retrieved from the experimental data.
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title_short	An improved intermittent control model of postural sway during quiet standing implemented by a data driven approach
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doi_str	10.1016/j.jbiomech.2023.111921
up_date	2024-07-06T19:22:43.234Z
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An improved intermittent control model of postural sway during quiet standing implemented by a data driven approach

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