eBook
Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models
| Τίτλος: | Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models |
|---|---|
| Περιγραφή: | Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models focuses on the relationship between three different multidisciplinary branches of engineering: Biomedical Engineering, Cognitive Science and Computer Science through Artificial Intelligence models. These models will be used to study how the nervous system and musculoskeletal system obey movement orders from the brain, as well as the mental processes of the information during cognition when injuries and neurologic diseases are present in the human body. The interaction between these three areas are studied in this book with the objective of obtaining AI models on injuries and neurologic diseases of the human body, studying diseases of the brain, spine and the nerves that connect them with the musculoskeletal system. There are more than 600 diseases of the nervous system, including brain tumors, epilepsy, Parkinson's disease, stroke, and many others. These diseases affect the human cognitive system that sends orders from the central nervous system (CNS) through the peripheral nervous systems (PNS) to do tasks using the musculoskeletal system. These actions can be detected by many Bioinstruments (Biomedical Instruments) and cognitive device data, allowing us to apply AI using Machine Learning-Deep Learning-Cognitive Computing models through algorithms to analyze, detect, classify, and forecast the process of various illnesses, diseases, and injuries of the human body. Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models provides readers with the study of injuries, illness, and neurological diseases of the human body through Artificial Intelligence using Machine Learning (ML), Deep Learning (DL) and Cognitive Computing (CC) models based on algorithms developed with MATLAB® and IBM Watson®. - Provides an introduction to Cognitive science, cognitive computing and human cognitive relation to help in the solution of AI Biomedical engineering problems - Explain different Artificial Intelligence (AI) including evolutionary algorithms to emulate natural evolution, reinforced learning, Artificial Neural Network (ANN) type and cognitive learning and to obtain many AI models for Biomedical Engineering problems - Includes coverage of the evolution Artificial Intelligence through Machine Learning (ML), Deep Learning (DL), Cognitive Computing (CC) using MATLAB® as a programming language with many add-on MATLAB® toolboxes, and AI based commercial products cloud services as: IBM (Cognitive Computing, IBM Watson®, IBM Watson Studio®, IBM Watson Studio Visual Recognition®), and others - Provides the necessary tools to accelerate obtaining results for the analysis of injuries, illness, and neurologic diseases that can be detected through the static, kinetics and kinematics, and natural body language data and medical imaging techniques applying AI using ML-DL-CC algorithms with the objective of obtaining appropriate conclusions to create solutions that improve the quality of life of patients |
| Συγγραφείς: | Jorge Garza Ulloa |
| Resource Type: | eBook. |
| Θέματα: | Artificial intelligence--Biological applications, Artificial intelligence--Medical applications, Biomedical engineering--Computer simulation, Cognitive science, Nervous system--Diseases--Data processing, Nervous system--Diseases--Pathophysiology--Data processing |
| Categories: | SCIENCE / Biotechnology, TECHNOLOGY & ENGINEERING / Biomedical |
| Βάση Δεδομένων: | eBook Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edsebk DbLabel: eBook Index An: 2741898 RelevancyScore: 962 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 962.24267578125 |
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| Items | – Name: Title Label: Title Group: Ti Data: Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models – Name: Abstract Label: Description Group: Ab Data: Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models focuses on the relationship between three different multidisciplinary branches of engineering: Biomedical Engineering, Cognitive Science and Computer Science through Artificial Intelligence models. These models will be used to study how the nervous system and musculoskeletal system obey movement orders from the brain, as well as the mental processes of the information during cognition when injuries and neurologic diseases are present in the human body. The interaction between these three areas are studied in this book with the objective of obtaining AI models on injuries and neurologic diseases of the human body, studying diseases of the brain, spine and the nerves that connect them with the musculoskeletal system. There are more than 600 diseases of the nervous system, including brain tumors, epilepsy, Parkinson's disease, stroke, and many others. These diseases affect the human cognitive system that sends orders from the central nervous system (CNS) through the peripheral nervous systems (PNS) to do tasks using the musculoskeletal system. These actions can be detected by many Bioinstruments (Biomedical Instruments) and cognitive device data, allowing us to apply AI using Machine Learning-Deep Learning-Cognitive Computing models through algorithms to analyze, detect, classify, and forecast the process of various illnesses, diseases, and injuries of the human body. Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models provides readers with the study of injuries, illness, and neurological diseases of the human body through Artificial Intelligence using Machine Learning (ML), Deep Learning (DL) and Cognitive Computing (CC) models based on algorithms developed with MATLAB® and IBM Watson®. - Provides an introduction to Cognitive science, cognitive computing and human cognitive relation to help in the solution of AI Biomedical engineering problems - Explain different Artificial Intelligence (AI) including evolutionary algorithms to emulate natural evolution, reinforced learning, Artificial Neural Network (ANN) type and cognitive learning and to obtain many AI models for Biomedical Engineering problems - Includes coverage of the evolution Artificial Intelligence through Machine Learning (ML), Deep Learning (DL), Cognitive Computing (CC) using MATLAB® as a programming language with many add-on MATLAB® toolboxes, and AI based commercial products cloud services as: IBM (Cognitive Computing, IBM Watson®, IBM Watson Studio®, IBM Watson Studio Visual Recognition®), and others - Provides the necessary tools to accelerate obtaining results for the analysis of injuries, illness, and neurologic diseases that can be detected through the static, kinetics and kinematics, and natural body language data and medical imaging techniques applying AI using ML-DL-CC algorithms with the objective of obtaining appropriate conclusions to create solutions that improve the quality of life of patients – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Jorge+Garza+Ulloa%22">Jorge Garza Ulloa</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Artificial+intelligence--Biological+applications%22">Artificial intelligence--Biological applications</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence--Medical+applications%22">Artificial intelligence--Medical applications</searchLink><br /><searchLink fieldCode="DE" term="%22Biomedical+engineering--Computer+simulation%22">Biomedical engineering--Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+science%22">Cognitive science</searchLink><br /><searchLink fieldCode="DE" term="%22Nervous+system--Diseases--Data+processing%22">Nervous system--Diseases--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Nervous+system--Diseases--Pathophysiology--Data+processing%22">Nervous system--Diseases--Pathophysiology--Data processing</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22SCIENCE+%2F+Biotechnology%22">SCIENCE / Biotechnology</searchLink><br /><searchLink fieldCode="ZK" term="%22TECHNOLOGY+%26+ENGINEERING+%2F+Biomedical%22">TECHNOLOGY & ENGINEERING / Biomedical</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=2741898 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 610.28028563 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Artificial intelligence--Biological applications Type: general – SubjectFull: Artificial intelligence--Medical applications Type: general – SubjectFull: Biomedical engineering--Computer simulation Type: general – SubjectFull: Cognitive science Type: general – SubjectFull: Nervous system--Diseases--Data processing Type: general – SubjectFull: Nervous system--Diseases--Pathophysiology--Data processing Type: general Titles: – TitleFull: Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jorge Garza Ulloa – PersonEntity: Name: NameFull: Jorge Garza Ulloa IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2022 – D: 13 M: 09 Type: profile Y: 2023 Identifiers: – Type: isbn-print Value: 9780128207185 – Type: isbn-electronic Value: 9780128209349 Titles: – TitleFull: Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models Type: main |
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