Description

Book Synopsis


Table of Contents
1. Feature engineering 2. Heart rate variability 3. Understanding the suitabillity of parametric modeling techniques in detecting the changes in the HRV signals acquired from cannabis consuming and nonconsuming Indian paddy-field workers 4. Patient-specific ECG beat classification using EMD and deep learning-based technique 5. Empirical wavelet transform and deep learning-based technique for ECG beat classification 6. Development of an Internet-of-Things (IoT)-based pill monitoring device for geriatric patients 7. Biomedical robotics 8. Combating COVID-19 by implying machine learning predictions and projections 9. Deep learning methods for analysis of neural signals: From conventional neural network to graph neural network 10. Improved extraction of the extreme thermal regions of breast IR images 11. New metrics to asses the subtle changes of the heart's electromagnetic field 12. The role of optimal and modified lead systems in electrocardiogram 13. Adaptive rate EEG processing and machine learning-based efficient recognition of epilepsy 14. Multimodal microscopy: A novel low-cost microscope designed for food and biological applications

Advanced Methods in Biomedical Signal Processing

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Order before 4pm today for delivery by Wed 7 Jan 2026.

A Paperback by Kunal Pal, Samit Ari, Arindam Bit

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    View other formats and editions of Advanced Methods in Biomedical Signal Processing by Kunal Pal

    Publisher: Elsevier Science
    Publication Date: 9/7/2022 12:00:00 AM
    ISBN13: 9780323859554, 978-0323859554
    ISBN10: 0323859550
    Also in:
    Computing Digital signal processing (DSP)

    Description

    Book Synopsis


    Table of Contents
    1. Feature engineering 2. Heart rate variability 3. Understanding the suitabillity of parametric modeling techniques in detecting the changes in the HRV signals acquired from cannabis consuming and nonconsuming Indian paddy-field workers 4. Patient-specific ECG beat classification using EMD and deep learning-based technique 5. Empirical wavelet transform and deep learning-based technique for ECG beat classification 6. Development of an Internet-of-Things (IoT)-based pill monitoring device for geriatric patients 7. Biomedical robotics 8. Combating COVID-19 by implying machine learning predictions and projections 9. Deep learning methods for analysis of neural signals: From conventional neural network to graph neural network 10. Improved extraction of the extreme thermal regions of breast IR images 11. New metrics to asses the subtle changes of the heart's electromagnetic field 12. The role of optimal and modified lead systems in electrocardiogram 13. Adaptive rate EEG processing and machine learning-based efficient recognition of epilepsy 14. Multimodal microscopy: A novel low-cost microscope designed for food and biological applications

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