Bayesian Filter Design for Computational Medicine
This book serves as a tutorial that explains how different state estimators (Bayesian filters) can be built when all or part of the observations are binary. The book begins by briefly motivating the need for point process state estimation followed by an introduction to the overall approach, as well...
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| Natura: | Online |
| Lingua: | inglese |
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Springer Nature
2024
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| Accesso online: | ONIX_20240416_9783031471049_33 |
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| _version_ | 1869516457874817024 |
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| author | Wickramasuriya, Dilranjan S. Faghih, Rose T. |
| author_browse | Faghih, Rose T. Wickramasuriya, Dilranjan S. |
| author_facet | Wickramasuriya, Dilranjan S. Faghih, Rose T. |
| author_sort | Wickramasuriya, Dilranjan S. |
| collection | Directory of Open Access Books |
| description | This book serves as a tutorial that explains how different state estimators (Bayesian filters) can be built when all or part of the observations are binary. The book begins by briefly motivating the need for point process state estimation followed by an introduction to the overall approach, as well as some basic background material in statistics that are necessary for the equation derivations that are utilized in subsequent chapters. The subsequent chapters focus on different state-space models and provide step-by-step explanations on how to build the corresponding Bayesian filters. Each of the main chapters that describes a single state-space model also describes the corresponding MATLAB code examples at the end. Descriptions are also provided regarding the code. The code contains both simulated and experimental data examples. All the experimental data examples are taken from real-world experiments. The experiments involve the recording of skin conductance, heartrate and blood cortisol data. A MATLAB toolbox of code examples that cover the different filters covered in the book is included in a companion webpage. The book is primarily intended for graduate students in either electrical engineering or biomedical engineering who will be beginning research in state estimation related to point process data or mixed data (i.e., point processes and other types of observations). The book can also be used by practicing researchers who measure skin conductance and heart rate or pulsatile hormones in their own work (e.g. in psychology). This is an open access book. |
| format | Online |
| id | doab-20.500.12854ir-136851 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Springer Nature |
| publisherStr | Springer Nature |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1368512025-07-18T09:47:05Z Bayesian Filter Design for Computational Medicine Wickramasuriya, Dilranjan S. Faghih, Rose T. State-space estimation Bayesian filtering Bayesian decoder design Physiological decoders Mixed filters Biomedical signal processing Electrodermal activity analysis skin response signal processing Galvanic skin response signal Galvanic skin response processing Bayesian Filter Design neuroengineering Bayesian Filter Design computational medicine bayesian thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences thema EDItEUR::M Medicine and Nursing::MQ Nursing and ancillary services::MQW Biomedical engineering thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering thema EDItEUR::U Computing and Information Technology::UY Computer science::UYS Digital signal processing (DSP) thema EDItEUR::P Mathematics and Science::PH Physics::PHV Applied physics::PHVN Biophysics thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences thema EDItEUR::M Medicine and Nursing::MQ Nursing and ancillary services::MQW Biomedical engineering thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering thema EDItEUR::U Computing and Information Technology::UY Computer science::UYS Digital signal processing (DSP) thema EDItEUR::P Mathematics and Science::PH Physics::PHV Applied physics::PHVN Biophysics This book serves as a tutorial that explains how different state estimators (Bayesian filters) can be built when all or part of the observations are binary. The book begins by briefly motivating the need for point process state estimation followed by an introduction to the overall approach, as well as some basic background material in statistics that are necessary for the equation derivations that are utilized in subsequent chapters. The subsequent chapters focus on different state-space models and provide step-by-step explanations on how to build the corresponding Bayesian filters. Each of the main chapters that describes a single state-space model also describes the corresponding MATLAB code examples at the end. Descriptions are also provided regarding the code. The code contains both simulated and experimental data examples. All the experimental data examples are taken from real-world experiments. The experiments involve the recording of skin conductance, heartrate and blood cortisol data. A MATLAB toolbox of code examples that cover the different filters covered in the book is included in a companion webpage. The book is primarily intended for graduate students in either electrical engineering or biomedical engineering who will be beginning research in state estimation related to point process data or mixed data (i.e., point processes and other types of observations). The book can also be used by practicing researchers who measure skin conductance and heart rate or pulsatile hormones in their own work (e.g. in psychology). This is an open access book. 2024-05-09T08:38:30Z 2024-05-09T08:38:30Z 2024-04-16T08:17:47Z 2024 book ONIX_20240416_9783031471049_33 OCN: 1428780971 https://library.oapen.org/handle/20.500.12657/89933 9783031471049 9783031471032 https://directory.doabooks.org/handle/20.500.12854/136851 eng open access image/jpeg image/jpeg n/a n/a https://library.oapen.org/bitstream/20.500.12657/89933/1/978-3-031-47104-9.pdf https://library.oapen.org/bitstream/20.500.12657/89933/1/978-3-031-47104-9.pdf Springer Nature Springer International Publishing 10.1007/978-3-031-47104-9 10.1007/978-3-031-47104-9 9fa3421d-f917-4153-b9ab-fc337c396b5a New York University 868bef56-b102-4b0e-bf14-b75f0d58731e 9783031471049 9783031471032 Springer International Publishing 228 Cham [...] open access |
| spellingShingle | State-space estimation Bayesian filtering Bayesian decoder design Physiological decoders Mixed filters Biomedical signal processing Electrodermal activity analysis skin response signal processing Galvanic skin response signal Galvanic skin response processing Bayesian Filter Design neuroengineering Bayesian Filter Design computational medicine bayesian thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences thema EDItEUR::M Medicine and Nursing::MQ Nursing and ancillary services::MQW Biomedical engineering thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering thema EDItEUR::U Computing and Information Technology::UY Computer science::UYS Digital signal processing (DSP) thema EDItEUR::P Mathematics and Science::PH Physics::PHV Applied physics::PHVN Biophysics thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences thema EDItEUR::M Medicine and Nursing::MQ Nursing and ancillary services::MQW Biomedical engineering thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering thema EDItEUR::U Computing and Information Technology::UY Computer science::UYS Digital signal processing (DSP) thema EDItEUR::P Mathematics and Science::PH Physics::PHV Applied physics::PHVN Biophysics Wickramasuriya, Dilranjan S. Faghih, Rose T. Bayesian Filter Design for Computational Medicine |
| title | Bayesian Filter Design for Computational Medicine |
| title_full | Bayesian Filter Design for Computational Medicine |
| title_fullStr | Bayesian Filter Design for Computational Medicine |
| title_full_unstemmed | Bayesian Filter Design for Computational Medicine |
| title_short | Bayesian Filter Design for Computational Medicine |
| title_sort | bayesian filter design for computational medicine |
| topic | State-space estimation Bayesian filtering Bayesian decoder design Physiological decoders Mixed filters Biomedical signal processing Electrodermal activity analysis skin response signal processing Galvanic skin response signal Galvanic skin response processing Bayesian Filter Design neuroengineering Bayesian Filter Design computational medicine bayesian thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences thema EDItEUR::M Medicine and Nursing::MQ Nursing and ancillary services::MQW Biomedical engineering thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering thema EDItEUR::U Computing and Information Technology::UY Computer science::UYS Digital signal processing (DSP) thema EDItEUR::P Mathematics and Science::PH Physics::PHV Applied physics::PHVN Biophysics thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences thema EDItEUR::M Medicine and Nursing::MQ Nursing and ancillary services::MQW Biomedical engineering thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering thema EDItEUR::U Computing and Information Technology::UY Computer science::UYS Digital signal processing (DSP) thema EDItEUR::P Mathematics and Science::PH Physics::PHV Applied physics::PHVN Biophysics |
| topic_facet | State-space estimation Bayesian filtering Bayesian decoder design Physiological decoders Mixed filters Biomedical signal processing Electrodermal activity analysis skin response signal processing Galvanic skin response signal Galvanic skin response processing Bayesian Filter Design neuroengineering Bayesian Filter Design computational medicine bayesian thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences thema EDItEUR::M Medicine and Nursing::MQ Nursing and ancillary services::MQW Biomedical engineering thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering thema EDItEUR::U Computing and Information Technology::UY Computer science::UYS Digital signal processing (DSP) thema EDItEUR::P Mathematics and Science::PH Physics::PHV Applied physics::PHVN Biophysics thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences thema EDItEUR::M Medicine and Nursing::MQ Nursing and ancillary services::MQW Biomedical engineering thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering thema EDItEUR::U Computing and Information Technology::UY Computer science::UYS Digital signal processing (DSP) thema EDItEUR::P Mathematics and Science::PH Physics::PHV Applied physics::PHVN Biophysics |
| url | ONIX_20240416_9783031471049_33 |
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