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| Language | English |
| Format | PDF (Premium Digital) |
| Ownership | Permanent download — yours forever |
Biomedical Signal Processing by Iyad Obeid
Chapter 1. Multi-CLASS fNIRS Classification of Motor Execution Tasks with Application to Brain Computer Interfaces.- Chapter 2. A Comparative Study of End-to-End Discriminative Deep Learning Models for Knee Joint Kinematic Time Series Classification.- Chapter 3. Nonlinear Smoothing of Data with Random Gaps and Outliers (DRAGO) Improves Estimation of Circadian Rhythm.- Chapter 4. Wearable Smart Garment Devices for Passive Biomedical Monitoring.- Chapter 5. Spatial Distribution of Seismocardiographic Signals.- Chapter 6. Noninvasive Vascular Blood Sound Monitoring Through Flexible Pvdf Microphone.- Chapter 7. Fast Automatic Artifact Annotator for EEG Signals Using Deep Learning.- Chapter 8. Objective evaluation metrics for automatic classification of EEG events.| SKU | NLS9783030674960 |
|---|---|
| ISBN 13 | 9783030674960 |
| ISBN 10 | 3030674967 |
| Author | Iyad Obeid |
| Condition | New |
| Binding Type | Paperback |
| Publisher | Springer Nature Switzerland AG |
| Year published | 2022-04-14 |
| Number of pages | 261 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
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