Studiebog
    Biomedical Signal Analysis for Connected Healthcare

    Biomedical Signal Analysis for Connected Healthcare

    Af
    Bog E-bog
    • Format
    • Bog, paperback
    • Engelsk

    Beskrivelse

    Biomedical Signal Analysis for Connected Healthcare provides rigorous coverage on several generations of techniques, including time domain approaches for event detection, spectral analysis for interpretation of clinical events of interest, time-varying signal processing for understanding dynamical aspects of complex biomedical systems, the application of machine learning principles in enhanced clinical decision-making, the application of sparse techniques and compressive sensing in providing low-power applications that are essential for wearable designs, the emerging paradigms of the Internet of Things, and connected healthcare.

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  • Vægt700 g
    • coffee cup img
    10 cm
    book img
    19,1 cm
    23,4 cm

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    Sampling Bluetooth Electronic circuits Entropy Gait Neural networks Stability Bioacoustics Human factors Delta modulation Linear systems Decision support systems Digital modulation Auscultation Decision Trees Telemedicine Pattern recognition Pulse code modulation Support vector machines Reinforcement learning Causality Heart Rate Healthcare Sensitivity user experience Sparsity EMG Naive bayes Compressive Sensing Spectral Estimation Moving Average Clustering Empirical Mode Decomposition Remote Monitoring Linear discriminant analysis Wearables Logistic regression ZIGBee EHR Specificity HIPAA Quantization Data compression Digital health K-means Overfitting Wavelet transform K-NN EEG WiFi Ecg Unsupervised learning Supervised learning IoT EMR Spectral Features Physiological signals Ensemble learning Nonstationarity Accelerometer sensors Adaptive segmentation Affordable health technology and AI Autoregressive modeling ECG wearables Connected healthcare F1score EEG wearables FIR Filters Ethics and fairness in AI Edge ML COVID-19 pandemic tracking IIR filters Internet of things (IoT)Internet of medical things (IoMT)PPG EMG wearables Least mean squares algorithm Filter realization Parametric representation Normal equation PPG Sensor Receiver Operating Characteristics Savitzky-Golay filters Sleep and activity monitoring HL7Low-cost digital technology Spectrogram Vital Signs Monitoring Region of Convergence Pan-Tompkins Time-domain features Tiny ML Semisupervised Learning

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