Biomedical signal analysis for connected healthcare /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Krishnan, Sridhar (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Academic Press, 2021.
Temas:
Medical informatics.
Biomedical engineering.
Signal processing.
Medical Informatics
M�edecine > Informatique.
G�enie biom�edical.
Traitement du signal.
biomedical engineering.
Biomedical engineering
Medical informatics
Signal processing
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Front Cover
  • Biomedical Signal Analysis for Connected Healthcare
  • Biomedical Signal Analysis for Connected Healthcare
  • Copyright
  • Dedication
  • Contents
  • About the author
  • Preface
  • 1
  • Opportunities for connected healthcare
  • 1. Introduction
  • 2. Internet of things
  • 2.1 Hardware
  • 2.2 Software
  • 3. Internet of medical things
  • 3.1 Remote health monitoring
  • 3.2 Smartphone application
  • 4. Wearables for health monitoring
  • 5. Biomedical signals
  • 5.1 ECG signal
  • 5.2 EEG signal
  • 5.3 EMG signal
  • 5.4 PPG signal
  • 5.5 Speech signal
  • 6. Objectives and organization of the book
  • References
  • 2
  • Wearables design
  • 1. Introduction
  • 2. Wearables survey
  • 2.1 EEG-based wearable devices
  • 2.1.1 About EEG signals: properties and acquisition
  • 2.1.2 Existing technology, drawbacks, and opportunities
  • 2.1.3 Comparison with clinical EEG data
  • 2.2 EMG-based wearable devices
  • 2.2.1 About EMG signals: properties and acquisition
  • 2.2.2 Existing technology, drawbacks, and opportunities
  • 2.2.3 Comparison with clinical EMG data
  • 2.3 ECG-based wearable devices
  • 2.3.1 About ECG signals: properties and acquisition
  • 2.3.2 Existing technology, drawbacks, and opportunities
  • 2.3.3 Comparison with clinical ECG data
  • 2.4 Other electronic wearables
  • 2.4.1 Photoplethysmogram
  • 2.4.2 Auscultation of body sounds
  • 2.4.3 Motion and gait analysis
  • 3. Wearables design considerations
  • 3.1 Signal factors
  • 3.2 Human factors
  • 3.3 Environmental factors
  • 3.4 Medical factors
  • 3.5 Economic factors
  • 3.6 Other critical factors
  • 4. Open hardware design considerations
  • 4.1 Allocation of hardware design
  • 4.2 Hardware requirements and methods
  • 4.2.1 PPG sensor description and bioinstrumentation
  • 4.2.2 EMG sensor requirements and description
  • 4.2.3 ECG sensor requirements and description
  • 4.2.4 Microphone requirements and description
  • 4.2.5 Motion analysis IMU requirements and description
  • 4.2.6 Perspectives on wearables hardware design
  • 5. Textile wearables
  • 6. Contactless monitoring
  • 7. Discussions
  • References
  • 3
  • Biomedical signals and systems
  • 1. Introduction
  • 2. Analog to digital conversion
  • 2.1 Sampling
  • 2.2 Quantization
  • 2.2.1 Noise power
  • 2.2.2 Signal power: Vp2
  • 3. Linear systems theory
  • 3.1 Stability and causality
  • 3.2 Frequency response
  • 4. Digital filters design
  • 4.1 Design of FIR filters
  • 4.2 Design of IIR filters
  • 4.2.1 Method 1: Pole-zero placement method of IIR filter design
  • 4.2.2 Method 2: Impulse-invariant method of IIR filter design
  • 4.2.3 Method 3: Bilinear z-transform method of IIR filter design
  • 4.2.3.1 BZT method for LPF design
  • 4.2.3.2 BZT method for HPF design
  • 4.3 Phase response considerations
  • 4.4 Homomorphic filtering
  • 5. Digital filter realization
  • 5.1 FIR filter realization
  • 5.2 IIR filter realization
  • 6. Applications
  • 6.1 Application 1: Noise filtering techniques

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