Model-Based Design and Experimental Validation of Control Modules for Neuromodulation Devices
Goal: The goal of this paper is to propose a model-based control design framework, adapted to the development of control modules for medical devices. A particular example is presented in which instantaneous heart rate is regulated in real-time, by modulating, in an adaptive manner, the current deliv...
Ausführliche Beschreibung
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| Autor*in: |
Ugalde, Hector M. Romero [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Übergeordnetes Werk: |
Enthalten in: IEEE transactions on biomedical engineering - New York, NY : IEEE, 1964, 63(2016), 7, Seite 1551-1558 |
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| Übergeordnetes Werk: |
volume:63 ; year:2016 ; number:7 ; pages:1551-1558 |
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| DOI / URN: |
10.1109/TBME.2015.2498878 |
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OLC1978885725 |
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| 520 | |a Goal: The goal of this paper is to propose a model-based control design framework, adapted to the development of control modules for medical devices. A particular example is presented in which instantaneous heart rate is regulated in real-time, by modulating, in an adaptive manner, the current delivered to the vagus nerve by a neuromodulator. Methods: The proposed framework couples a control module, based on a classical PI controller, a mathematical model of the medical device, and a physiological model representing the cardiovascular responses to vagus nerve stimulation (VNS). In order to analyze and evaluate the behavior of the device, different control parameters are tested on a "virtual population," generated with the model, according to the Latin Hypercube sampling method. In particular, sensitivity analyses are applied for the identification of a domain of interest in the space of the control parameters. The obtained control parameter domain has been validated in an experimental evaluation on six sheep. Results: A range of control parameters leading to accurate results was successfully estimated by the proposed model-based design method. Experimental evaluation of the control parameters inside such a domain led to the best compromise between accuracy and time response of the VNS control. Conclusion: The feasibility and usefulness of the proposed model-based design method were shown, leading to a functional, real-time closed-loop control of the VNS for the regulation of heart rate. | ||
| 650 | 4 | |a Adaptation models | |
| 650 | 4 | |a Sociology | |
| 650 | 4 | |a Biological system modeling | |
| 650 | 4 | |a Sensitivity analysis | |
| 650 | 4 | |a Control systems | |
| 650 | 4 | |a Computers | |
| 650 | 4 | |a Heart rate | |
| 650 | 4 | |a Simulation | |
| 650 | 4 | |a Vagus nerve stimulation | |
| 650 | 4 | |a Modeling | |
| 650 | 4 | |a Model-based control design | |
| 650 | 4 | |a Computational modeling | |
| 700 | 1 | |a Ojeda, David |4 oth | |
| 700 | 1 | |a Le Rolle, Virginie |4 oth | |
| 700 | 1 | |a Andreu, David |4 oth | |
| 700 | 1 | |a Guiraud, David |4 oth | |
| 700 | 1 | |a Bonnet, Jean-L |4 oth | |
| 700 | 1 | |a Henry, Christine |4 oth | |
| 700 | 1 | |a Karam, Nicole |4 oth | |
| 700 | 1 | |a Hagege, Albert |4 oth | |
| 700 | 1 | |a Mabo, Philippe |4 oth | |
| 700 | 1 | |a Carrault, Guy |4 oth | |
| 700 | 1 | |a Hernandez, Alfredo I |4 oth | |
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10.1109/TBME.2015.2498878 doi PQ20160720 (DE-627)OLC1978885725 (DE-599)GBVOLC1978885725 (PRQ)c947-3c9b17b82c42c85db830a3cb0686c554a70ead71009eefabd27716b2f6f23a650 (KEY)0037705820160000063000701551modelbaseddesignandexperimentalvalidationofcontrol DE-627 ger DE-627 rakwb eng 620 610 DNB XA 48665 AVZ rvk 44.09 bkl 44.40 bkl Ugalde, Hector M. Romero verfasserin aut Model-Based Design and Experimental Validation of Control Modules for Neuromodulation Devices 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Goal: The goal of this paper is to propose a model-based control design framework, adapted to the development of control modules for medical devices. A particular example is presented in which instantaneous heart rate is regulated in real-time, by modulating, in an adaptive manner, the current delivered to the vagus nerve by a neuromodulator. Methods: The proposed framework couples a control module, based on a classical PI controller, a mathematical model of the medical device, and a physiological model representing the cardiovascular responses to vagus nerve stimulation (VNS). In order to analyze and evaluate the behavior of the device, different control parameters are tested on a "virtual population," generated with the model, according to the Latin Hypercube sampling method. In particular, sensitivity analyses are applied for the identification of a domain of interest in the space of the control parameters. The obtained control parameter domain has been validated in an experimental evaluation on six sheep. Results: A range of control parameters leading to accurate results was successfully estimated by the proposed model-based design method. Experimental evaluation of the control parameters inside such a domain led to the best compromise between accuracy and time response of the VNS control. Conclusion: The feasibility and usefulness of the proposed model-based design method were shown, leading to a functional, real-time closed-loop control of the VNS for the regulation of heart rate. Adaptation models Sociology Biological system modeling Sensitivity analysis Control systems Computers Heart rate Simulation Vagus nerve stimulation Modeling Model-based control design Computational modeling Ojeda, David oth Le Rolle, Virginie oth Andreu, David oth Guiraud, David oth Bonnet, Jean-L oth Henry, Christine oth Karam, Nicole oth Hagege, Albert oth Mabo, Philippe oth Carrault, Guy oth Hernandez, Alfredo I oth Enthalten in IEEE transactions on biomedical engineering New York, NY : IEEE, 1964 63(2016), 7, Seite 1551-1558 (DE-627)129358452 (DE-600)160429-6 (DE-576)01473074X 0018-9294 nnns volume:63 year:2016 number:7 pages:1551-1558 http://dx.doi.org/10.1109/TBME.2015.2498878 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7322212 http://www.ncbi.nlm.nih.gov/pubmed/26571507 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHA SSG-OLC-DE-84 SSG-OPC-PHA GBV_ILN_70 GBV_ILN_170 GBV_ILN_2061 GBV_ILN_2410 GBV_ILN_4219 XA 48665 44.09 AVZ 44.40 AVZ AR 63 2016 7 1551-1558 |
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10.1109/TBME.2015.2498878 doi PQ20160720 (DE-627)OLC1978885725 (DE-599)GBVOLC1978885725 (PRQ)c947-3c9b17b82c42c85db830a3cb0686c554a70ead71009eefabd27716b2f6f23a650 (KEY)0037705820160000063000701551modelbaseddesignandexperimentalvalidationofcontrol DE-627 ger DE-627 rakwb eng 620 610 DNB XA 48665 AVZ rvk 44.09 bkl 44.40 bkl Ugalde, Hector M. Romero verfasserin aut Model-Based Design and Experimental Validation of Control Modules for Neuromodulation Devices 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Goal: The goal of this paper is to propose a model-based control design framework, adapted to the development of control modules for medical devices. A particular example is presented in which instantaneous heart rate is regulated in real-time, by modulating, in an adaptive manner, the current delivered to the vagus nerve by a neuromodulator. Methods: The proposed framework couples a control module, based on a classical PI controller, a mathematical model of the medical device, and a physiological model representing the cardiovascular responses to vagus nerve stimulation (VNS). In order to analyze and evaluate the behavior of the device, different control parameters are tested on a "virtual population," generated with the model, according to the Latin Hypercube sampling method. In particular, sensitivity analyses are applied for the identification of a domain of interest in the space of the control parameters. The obtained control parameter domain has been validated in an experimental evaluation on six sheep. Results: A range of control parameters leading to accurate results was successfully estimated by the proposed model-based design method. Experimental evaluation of the control parameters inside such a domain led to the best compromise between accuracy and time response of the VNS control. Conclusion: The feasibility and usefulness of the proposed model-based design method were shown, leading to a functional, real-time closed-loop control of the VNS for the regulation of heart rate. Adaptation models Sociology Biological system modeling Sensitivity analysis Control systems Computers Heart rate Simulation Vagus nerve stimulation Modeling Model-based control design Computational modeling Ojeda, David oth Le Rolle, Virginie oth Andreu, David oth Guiraud, David oth Bonnet, Jean-L oth Henry, Christine oth Karam, Nicole oth Hagege, Albert oth Mabo, Philippe oth Carrault, Guy oth Hernandez, Alfredo I oth Enthalten in IEEE transactions on biomedical engineering New York, NY : IEEE, 1964 63(2016), 7, Seite 1551-1558 (DE-627)129358452 (DE-600)160429-6 (DE-576)01473074X 0018-9294 nnns volume:63 year:2016 number:7 pages:1551-1558 http://dx.doi.org/10.1109/TBME.2015.2498878 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7322212 http://www.ncbi.nlm.nih.gov/pubmed/26571507 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHA SSG-OLC-DE-84 SSG-OPC-PHA GBV_ILN_70 GBV_ILN_170 GBV_ILN_2061 GBV_ILN_2410 GBV_ILN_4219 XA 48665 44.09 AVZ 44.40 AVZ AR 63 2016 7 1551-1558 |
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10.1109/TBME.2015.2498878 doi PQ20160720 (DE-627)OLC1978885725 (DE-599)GBVOLC1978885725 (PRQ)c947-3c9b17b82c42c85db830a3cb0686c554a70ead71009eefabd27716b2f6f23a650 (KEY)0037705820160000063000701551modelbaseddesignandexperimentalvalidationofcontrol DE-627 ger DE-627 rakwb eng 620 610 DNB XA 48665 AVZ rvk 44.09 bkl 44.40 bkl Ugalde, Hector M. Romero verfasserin aut Model-Based Design and Experimental Validation of Control Modules for Neuromodulation Devices 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Goal: The goal of this paper is to propose a model-based control design framework, adapted to the development of control modules for medical devices. A particular example is presented in which instantaneous heart rate is regulated in real-time, by modulating, in an adaptive manner, the current delivered to the vagus nerve by a neuromodulator. Methods: The proposed framework couples a control module, based on a classical PI controller, a mathematical model of the medical device, and a physiological model representing the cardiovascular responses to vagus nerve stimulation (VNS). In order to analyze and evaluate the behavior of the device, different control parameters are tested on a "virtual population," generated with the model, according to the Latin Hypercube sampling method. In particular, sensitivity analyses are applied for the identification of a domain of interest in the space of the control parameters. The obtained control parameter domain has been validated in an experimental evaluation on six sheep. Results: A range of control parameters leading to accurate results was successfully estimated by the proposed model-based design method. Experimental evaluation of the control parameters inside such a domain led to the best compromise between accuracy and time response of the VNS control. Conclusion: The feasibility and usefulness of the proposed model-based design method were shown, leading to a functional, real-time closed-loop control of the VNS for the regulation of heart rate. Adaptation models Sociology Biological system modeling Sensitivity analysis Control systems Computers Heart rate Simulation Vagus nerve stimulation Modeling Model-based control design Computational modeling Ojeda, David oth Le Rolle, Virginie oth Andreu, David oth Guiraud, David oth Bonnet, Jean-L oth Henry, Christine oth Karam, Nicole oth Hagege, Albert oth Mabo, Philippe oth Carrault, Guy oth Hernandez, Alfredo I oth Enthalten in IEEE transactions on biomedical engineering New York, NY : IEEE, 1964 63(2016), 7, Seite 1551-1558 (DE-627)129358452 (DE-600)160429-6 (DE-576)01473074X 0018-9294 nnns volume:63 year:2016 number:7 pages:1551-1558 http://dx.doi.org/10.1109/TBME.2015.2498878 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7322212 http://www.ncbi.nlm.nih.gov/pubmed/26571507 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHA SSG-OLC-DE-84 SSG-OPC-PHA GBV_ILN_70 GBV_ILN_170 GBV_ILN_2061 GBV_ILN_2410 GBV_ILN_4219 XA 48665 44.09 AVZ 44.40 AVZ AR 63 2016 7 1551-1558 |
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10.1109/TBME.2015.2498878 doi PQ20160720 (DE-627)OLC1978885725 (DE-599)GBVOLC1978885725 (PRQ)c947-3c9b17b82c42c85db830a3cb0686c554a70ead71009eefabd27716b2f6f23a650 (KEY)0037705820160000063000701551modelbaseddesignandexperimentalvalidationofcontrol DE-627 ger DE-627 rakwb eng 620 610 DNB XA 48665 AVZ rvk 44.09 bkl 44.40 bkl Ugalde, Hector M. Romero verfasserin aut Model-Based Design and Experimental Validation of Control Modules for Neuromodulation Devices 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Goal: The goal of this paper is to propose a model-based control design framework, adapted to the development of control modules for medical devices. A particular example is presented in which instantaneous heart rate is regulated in real-time, by modulating, in an adaptive manner, the current delivered to the vagus nerve by a neuromodulator. Methods: The proposed framework couples a control module, based on a classical PI controller, a mathematical model of the medical device, and a physiological model representing the cardiovascular responses to vagus nerve stimulation (VNS). In order to analyze and evaluate the behavior of the device, different control parameters are tested on a "virtual population," generated with the model, according to the Latin Hypercube sampling method. In particular, sensitivity analyses are applied for the identification of a domain of interest in the space of the control parameters. The obtained control parameter domain has been validated in an experimental evaluation on six sheep. Results: A range of control parameters leading to accurate results was successfully estimated by the proposed model-based design method. Experimental evaluation of the control parameters inside such a domain led to the best compromise between accuracy and time response of the VNS control. Conclusion: The feasibility and usefulness of the proposed model-based design method were shown, leading to a functional, real-time closed-loop control of the VNS for the regulation of heart rate. Adaptation models Sociology Biological system modeling Sensitivity analysis Control systems Computers Heart rate Simulation Vagus nerve stimulation Modeling Model-based control design Computational modeling Ojeda, David oth Le Rolle, Virginie oth Andreu, David oth Guiraud, David oth Bonnet, Jean-L oth Henry, Christine oth Karam, Nicole oth Hagege, Albert oth Mabo, Philippe oth Carrault, Guy oth Hernandez, Alfredo I oth Enthalten in IEEE transactions on biomedical engineering New York, NY : IEEE, 1964 63(2016), 7, Seite 1551-1558 (DE-627)129358452 (DE-600)160429-6 (DE-576)01473074X 0018-9294 nnns volume:63 year:2016 number:7 pages:1551-1558 http://dx.doi.org/10.1109/TBME.2015.2498878 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7322212 http://www.ncbi.nlm.nih.gov/pubmed/26571507 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHA SSG-OLC-DE-84 SSG-OPC-PHA GBV_ILN_70 GBV_ILN_170 GBV_ILN_2061 GBV_ILN_2410 GBV_ILN_4219 XA 48665 44.09 AVZ 44.40 AVZ AR 63 2016 7 1551-1558 |
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10.1109/TBME.2015.2498878 doi PQ20160720 (DE-627)OLC1978885725 (DE-599)GBVOLC1978885725 (PRQ)c947-3c9b17b82c42c85db830a3cb0686c554a70ead71009eefabd27716b2f6f23a650 (KEY)0037705820160000063000701551modelbaseddesignandexperimentalvalidationofcontrol DE-627 ger DE-627 rakwb eng 620 610 DNB XA 48665 AVZ rvk 44.09 bkl 44.40 bkl Ugalde, Hector M. Romero verfasserin aut Model-Based Design and Experimental Validation of Control Modules for Neuromodulation Devices 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Goal: The goal of this paper is to propose a model-based control design framework, adapted to the development of control modules for medical devices. A particular example is presented in which instantaneous heart rate is regulated in real-time, by modulating, in an adaptive manner, the current delivered to the vagus nerve by a neuromodulator. Methods: The proposed framework couples a control module, based on a classical PI controller, a mathematical model of the medical device, and a physiological model representing the cardiovascular responses to vagus nerve stimulation (VNS). In order to analyze and evaluate the behavior of the device, different control parameters are tested on a "virtual population," generated with the model, according to the Latin Hypercube sampling method. In particular, sensitivity analyses are applied for the identification of a domain of interest in the space of the control parameters. The obtained control parameter domain has been validated in an experimental evaluation on six sheep. Results: A range of control parameters leading to accurate results was successfully estimated by the proposed model-based design method. Experimental evaluation of the control parameters inside such a domain led to the best compromise between accuracy and time response of the VNS control. Conclusion: The feasibility and usefulness of the proposed model-based design method were shown, leading to a functional, real-time closed-loop control of the VNS for the regulation of heart rate. Adaptation models Sociology Biological system modeling Sensitivity analysis Control systems Computers Heart rate Simulation Vagus nerve stimulation Modeling Model-based control design Computational modeling Ojeda, David oth Le Rolle, Virginie oth Andreu, David oth Guiraud, David oth Bonnet, Jean-L oth Henry, Christine oth Karam, Nicole oth Hagege, Albert oth Mabo, Philippe oth Carrault, Guy oth Hernandez, Alfredo I oth Enthalten in IEEE transactions on biomedical engineering New York, NY : IEEE, 1964 63(2016), 7, Seite 1551-1558 (DE-627)129358452 (DE-600)160429-6 (DE-576)01473074X 0018-9294 nnns volume:63 year:2016 number:7 pages:1551-1558 http://dx.doi.org/10.1109/TBME.2015.2498878 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7322212 http://www.ncbi.nlm.nih.gov/pubmed/26571507 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHA SSG-OLC-DE-84 SSG-OPC-PHA GBV_ILN_70 GBV_ILN_170 GBV_ILN_2061 GBV_ILN_2410 GBV_ILN_4219 XA 48665 44.09 AVZ 44.40 AVZ AR 63 2016 7 1551-1558 |
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Ugalde, Hector M. Romero @@aut@@ Ojeda, David @@oth@@ Le Rolle, Virginie @@oth@@ Andreu, David @@oth@@ Guiraud, David @@oth@@ Bonnet, Jean-L @@oth@@ Henry, Christine @@oth@@ Karam, Nicole @@oth@@ Hagege, Albert @@oth@@ Mabo, Philippe @@oth@@ Carrault, Guy @@oth@@ Hernandez, Alfredo I @@oth@@ |
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Romero</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Model-Based Design and Experimental Validation of Control Modules for Neuromodulation Devices</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2016</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Goal: The goal of this paper is to propose a model-based control design framework, adapted to the development of control modules for medical devices. 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Model-Based Design and Experimental Validation of Control Modules for Neuromodulation Devices |
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Goal: The goal of this paper is to propose a model-based control design framework, adapted to the development of control modules for medical devices. A particular example is presented in which instantaneous heart rate is regulated in real-time, by modulating, in an adaptive manner, the current delivered to the vagus nerve by a neuromodulator. Methods: The proposed framework couples a control module, based on a classical PI controller, a mathematical model of the medical device, and a physiological model representing the cardiovascular responses to vagus nerve stimulation (VNS). In order to analyze and evaluate the behavior of the device, different control parameters are tested on a "virtual population," generated with the model, according to the Latin Hypercube sampling method. In particular, sensitivity analyses are applied for the identification of a domain of interest in the space of the control parameters. The obtained control parameter domain has been validated in an experimental evaluation on six sheep. Results: A range of control parameters leading to accurate results was successfully estimated by the proposed model-based design method. Experimental evaluation of the control parameters inside such a domain led to the best compromise between accuracy and time response of the VNS control. Conclusion: The feasibility and usefulness of the proposed model-based design method were shown, leading to a functional, real-time closed-loop control of the VNS for the regulation of heart rate. |
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Goal: The goal of this paper is to propose a model-based control design framework, adapted to the development of control modules for medical devices. A particular example is presented in which instantaneous heart rate is regulated in real-time, by modulating, in an adaptive manner, the current delivered to the vagus nerve by a neuromodulator. Methods: The proposed framework couples a control module, based on a classical PI controller, a mathematical model of the medical device, and a physiological model representing the cardiovascular responses to vagus nerve stimulation (VNS). In order to analyze and evaluate the behavior of the device, different control parameters are tested on a "virtual population," generated with the model, according to the Latin Hypercube sampling method. In particular, sensitivity analyses are applied for the identification of a domain of interest in the space of the control parameters. The obtained control parameter domain has been validated in an experimental evaluation on six sheep. Results: A range of control parameters leading to accurate results was successfully estimated by the proposed model-based design method. Experimental evaluation of the control parameters inside such a domain led to the best compromise between accuracy and time response of the VNS control. Conclusion: The feasibility and usefulness of the proposed model-based design method were shown, leading to a functional, real-time closed-loop control of the VNS for the regulation of heart rate. |
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Goal: The goal of this paper is to propose a model-based control design framework, adapted to the development of control modules for medical devices. A particular example is presented in which instantaneous heart rate is regulated in real-time, by modulating, in an adaptive manner, the current delivered to the vagus nerve by a neuromodulator. Methods: The proposed framework couples a control module, based on a classical PI controller, a mathematical model of the medical device, and a physiological model representing the cardiovascular responses to vagus nerve stimulation (VNS). In order to analyze and evaluate the behavior of the device, different control parameters are tested on a "virtual population," generated with the model, according to the Latin Hypercube sampling method. In particular, sensitivity analyses are applied for the identification of a domain of interest in the space of the control parameters. The obtained control parameter domain has been validated in an experimental evaluation on six sheep. Results: A range of control parameters leading to accurate results was successfully estimated by the proposed model-based design method. Experimental evaluation of the control parameters inside such a domain led to the best compromise between accuracy and time response of the VNS control. Conclusion: The feasibility and usefulness of the proposed model-based design method were shown, leading to a functional, real-time closed-loop control of the VNS for the regulation of heart rate. |
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