Advanced Biosignal Processing and Diagnostic Methods
Personal health and well-being was and is important for all individuals. This includes the way people are living, what they do to stay healthy as well as a profound, well-informed diagnosis and appropriate treatment in case of disease. To achieve these goals, modern medicine is provided with a large...
Gorde:
| Formatua: | Online |
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| Hizkuntza: | ingelesa |
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IntechOpen
2021
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| Sarrera elektronikoa: | ONIX_20210420_9789535125204_2222 |
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| _version_ | 1869525398154379264 |
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| collection | Directory of Open Access Books |
| description | Personal health and well-being was and is important for all individuals. This includes the way people are living, what they do to stay healthy as well as a profound, well-informed diagnosis and appropriate treatment in case of disease. To achieve these goals, modern medicine is provided with a large variety of tools to assess a patient's health state and collect the information required for a proper diagnosis and treatment, which is tailored to the patient's needs. Many of these available tools use signals either generated by the human body, for example, electroencephalogram (EEG) and electrocardiogram (ECG), or by interacting with the human body while traversing it like microwaves or reflected visible light that is recorded by a video camera. The biosignals recorded by the available and newly developed methods have to be processed to extract the information about the patient's condition and, analyzed tissue and cells. This book presents a small selection of the recent developments in the field of biosignal processing. The covered diagnostic tools and methods include the assessment of respiratory state through gait analysis, the contactless monitoring of cardiovascular and respiratory parameters using microwaves, a non-linear approach to extract the fetal ECG from non-invasive abdominal recordings, identification of epileptic networks from pre-surgical neurophysiological recordings and an improved method to obtain and validate the copy number alterations parameter, which are considered an important marker in cancer classification. |
| format | Online |
| id | doab-20.500.12854ir-66863 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-668632024-03-31T13:08:42Z Advanced Biosignal Processing and Diagnostic Methods Hintermüller, Christoph Medical bioinformatics thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBD Medical profession::MBDC Medical ethics and professional conduct Personal health and well-being was and is important for all individuals. This includes the way people are living, what they do to stay healthy as well as a profound, well-informed diagnosis and appropriate treatment in case of disease. To achieve these goals, modern medicine is provided with a large variety of tools to assess a patient's health state and collect the information required for a proper diagnosis and treatment, which is tailored to the patient's needs. Many of these available tools use signals either generated by the human body, for example, electroencephalogram (EEG) and electrocardiogram (ECG), or by interacting with the human body while traversing it like microwaves or reflected visible light that is recorded by a video camera. The biosignals recorded by the available and newly developed methods have to be processed to extract the information about the patient's condition and, analyzed tissue and cells. This book presents a small selection of the recent developments in the field of biosignal processing. The covered diagnostic tools and methods include the assessment of respiratory state through gait analysis, the contactless monitoring of cardiovascular and respiratory parameters using microwaves, a non-linear approach to extract the fetal ECG from non-invasive abdominal recordings, identification of epileptic networks from pre-surgical neurophysiological recordings and an improved method to obtain and validate the copy number alterations parameter, which are considered an important marker in cancer classification. 2021-04-20T15:55:46Z 2021-04-20T15:55:46Z 2016 book ONIX_20210420_9789535125204_2222 9789535125204 9789535125198 9789535154419 https://directory.doabooks.org/handle/20.500.12854/66863 eng image/jpeg n/a https://www.intechopen.com/books https://mts.intechopen.com/storage/books/5300/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/61919 10.5772/61919 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9789535125204 9789535125198 9789535154419 IntechOpen 148 open access |
| spellingShingle | Medical bioinformatics thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBD Medical profession::MBDC Medical ethics and professional conduct Advanced Biosignal Processing and Diagnostic Methods |
| title | Advanced Biosignal Processing and Diagnostic Methods |
| title_full | Advanced Biosignal Processing and Diagnostic Methods |
| title_fullStr | Advanced Biosignal Processing and Diagnostic Methods |
| title_full_unstemmed | Advanced Biosignal Processing and Diagnostic Methods |
| title_short | Advanced Biosignal Processing and Diagnostic Methods |
| title_sort | advanced biosignal processing and diagnostic methods |
| topic | Medical bioinformatics thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBD Medical profession::MBDC Medical ethics and professional conduct |
| topic_facet | Medical bioinformatics thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBD Medical profession::MBDC Medical ethics and professional conduct |
| url | ONIX_20210420_9789535125204_2222 |