biomedical signals based computer aided (22 Ergebnisse)

Zustand: New. In.

Zustand: New. In.

Zustand: New.

Zustand: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

Taschenbuch. Zustand: Neu. Biomedical Signals Based Computer-Aided Diagnosis for Neurological Disorders | M. Murugappan (u. a.) | Taschenbuch | x | Englisch | 2023 | Springer | EAN 9783030978471 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Biomedical signals provide unprecedented insight into abnormal or anomalous neurological conditions. The computer-aided diagnosis (CAD) system plays a key role in detecting neurological abnormalities and improving diagnosis and treatment consistency in medicine. This book covers different aspects of biomedical signals-based systems used in the automatic detection/identification of neurological disorders. Several biomedical signals are introduced and analyzed, including electroencephalogram (EEG), electrocardiogram (ECG), heart rate (HR), magnetoencephalogram (MEG), and electromyogram (EMG). It explains the role of the CAD system in processing biomedical signals and the application to neurological disorder diagnosis. The book provides the basics of biomedical signal processing, optimization methods, and machine learning/deep learning techniques used in designing CAD systems for neurological disorders.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Biomedical signals provide unprecedented insight into abnormal or anomalous neurological conditions. The computer-aided diagnosis (CAD) system plays a key role in detecting neurological abnormalities and improving diagnosis and treatment consistency in medicine. This book covers different aspects of biomedical signals-based systems used in the automatic detection/identification of neurological disorders. Several biomedical signals are introduced and analyzed, including electroencephalogram (EEG), electrocardiogram (ECG), heart rate (HR), magnetoencephalogram (MEG), and electromyogram (EMG). It explains the role of the CAD system in processing biomedical signals and the application to neurological disorder diagnosis. The book provides the basics of biomedical signal processing, optimization methods, and machine learning/deep learning techniques used in designing CAD systems for neurological disorders.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 300 | Sprache: Englisch | Produktart: Bücher | Biomedical signals provide unprecedented insight into abnormal or anomalous neurological conditions. The computer-aided diagnosis (CAD) system plays a key role in detecting neurological abnormalities and improving diagnosis and treatment consistency in medicine. This book covers different aspects of biomedical signals-based systems used in the automatic detection/identification of neurological disorders. Several biomedical signals are introduced and analyzed, including electroencephalogram (EEG), electrocardiogram (ECG), heart rate (HR), magnetoencephalogram (MEG), and electromyogram (EMG). It explains the role of the CAD system in processing biomedical signals and the application to neurological disorder diagnosis. The book provides the basics of biomedical signal processing, optimization methods, and machine learning/deep learning techniques used in designing CAD systems for neurological disorders.

Paperback. Zustand: Brand New. 299 pages. 9.25x6.10x0.63 inches. In Stock.

Hardcover. Zustand: Brand New. 299 pages. 9.25x6.10x9.21 inches. In Stock.

Zustand: new. Questo è un articolo print on demand.

Zustand: new. Questo è un articolo print on demand.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Biomedical signals provide unprecedented insight into abnormal or anomalous neurological conditions. The computer-aided diagnosis (CAD) system plays a key role in detecting neurological abnormalities and improving diagnosis and treatment consistency in medicine. This book covers different aspects of biomedical signals-based systems used in the automatic detection/identification of neurological disorders. Several biomedical signals are introduced and analyzed, including electroencephalogram (EEG), electrocardiogram (ECG), heart rate (HR), magnetoencephalogram (MEG), and electromyogram (EMG). It explains the role of the CAD system in processing biomedical signals and the application to neurological disorder diagnosis. The book provides the basics of biomedical signal processing, optimization methods, and machine learning/deep learning techniques used in designing CAD systems for neurological disorders. 300 pp. Englisch.

Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Biomedical signals provide unprecedented insight into abnormal or anomalous neurological conditions. The computer-aided diagnosis (CAD) system plays a key role in detecting neurological abnormalities and improving diagnosis and treatment consistency in medicine. This book covers different aspects of biomedical signals-based systems used in the automatic detection/identification of neurological disorders. Several biomedical signals are introduced and analyzed, including electroencephalogram (EEG), electrocardiogram (ECG), heart rate (HR), magnetoencephalogram (MEG), and electromyogram (EMG). It explains the role of the CAD system in processing biomedical signals and the application to neurological disorder diagnosis. The book provides the basics of biomedical signal processing, optimization methods, and machine learning/deep learning techniques used in designing CAD systems for neurological disorders. 300 pp. Englisch.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. M. Murugappan is an Associate Professor in the Department of Electronics and Communication Engineering at Kuwait College of Science and Technology (KCST), Kuwait since 2016. He is also serving as a Visiting Professor in the School of Engineeri.

Gebunden. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Biomedical signals provide unprecedented insight into abnormal or anomalous neurological conditions. The computer-aided diagnosis (CAD) system plays a key role in detecting neurological abnormalities and improving diagnosis and treatment consistency in m.

Zustand: New. Print on Demand.

Zustand: New. Print on Demand.

Zustand: New. PRINT ON DEMAND.

Zustand: New. PRINT ON DEMAND.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -1. Abnormal EEG detection using time-frequency images and convolutional neural network.- 2. Physical action categorization pertaining to certain neurological disorders using machine learning based signal analysis.- 3. A comparative study on EEG features for neonatal seizure detection.- 4. Hilbert huang transform (HHT) analysis of heart rate variability (HRV) in recognition of emotion in children with autism spectrum disorder (ASD).- 5. Detection of tonic-clonic seizures using scalp EEG of spectral moments.- 6. Investigation of the brain activation pattern of stroke patients and healthy individuals during happiness and sadness.- 7. A novel parametric non-stationary signal model for EEG signals and its application in epileptic seizure detection.- 8. Biomedical signal analysis using entropy measures: A case study of motor imaginary BCI in end-users with disability.- 9. Automatic detection of epilepsy using CNN-GRU hybrid model.- 10. Catalogic systematic literature review of hardware-accelerated neurodiagnostic.- 11. Wearable Real-time Epileptic Seizure Detection and Warning System.- 12. Analysis of Intramuscular Coherence of Lower Limb Muscles Activities using Magnitude Squared Coherence.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 300 pp. Englisch.

Buch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -1. Abnormal EEG detection using time-frequency images and convolutional neural network.- 2. Physical action categorization pertaining to certain neurological disorders using machine learning based signal analysis.- 3. A comparative study on EEG features for neonatal seizure detection.- 4. Hilbert huang transform (HHT) analysis of heart rate variability (HRV) in recognition of emotion in children with autism spectrum disorder (ASD).- 5. Detection of tonic-clonic seizures using scalp EEG of spectral moments.- 6. Investigation of the brain activation pattern of stroke patients and healthy individuals during happiness and sadness.- 7. A novel parametric non-stationary signal model for EEG signals and its application in epileptic seizure detection.- 8. Biomedical signal analysis using entropy measures: A case study of motor imaginary BCI in end-users with disability.- 9. Automatic detection of epilepsy using CNN-GRU hybrid model.- 10. Catalogic systematic literature review of hardware-accelerated neurodiagnostic.- 11. Wearable Real-time Epileptic Seizure Detection and Warning System.- 12. Analysis of Intramuscular Coherence of Lower Limb Muscles Activities using Magnitude Squared Coherence.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 300 pp. Englisch.