Signal and Image Analysis for Biomedical and Life Sciences
Signal and image analysis techniques are becoming more widely used in biomedical and life science applications. With an emphasis on applications of computational models for solving modern challenging problems in biomedical and life sciences, this book aims to bring collections of articles from biolo...
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , , , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2015.
|
| Σειρά: | Advances in Experimental Medicine and Biology,
823 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Visual Analytics of Signalling Pathways Using Time Profiles
- Modeling of Testosterone Regulation by Pulse-modulated Feedback
- Hybrid Algorithms for Multiple Change-Point Detection in Biological Sequence
- Stochastic Anomaly Detection in Eye-Tracking Data for Quantification of Motor Symptoms in Parkinson’s Disease
- Identification of the Reichardt Elementary Motion Detector Model.- Multi-Complexity Ensemble Measures for Gait Time Series Analysis: Application to Diagnostics, Monitoring and Biometrics
- Development of a Motion Capturing and Load Analyzing System for Caregivers Aiding a Patient to Sit Up in Bed
- Classifying Epileptic EEG Signals with Delay Permutation Entropy and Multi-Scale K-means
- Tracking of EEG Activity Using Motion Estimation to Understand Brain Wiring
- Towards Automated Quantitative Vasculature Understanding via Ultra High-Resolution Imagery
- Cloud Based Toolbox for Image Analysis, Processing and Reconstruction Tasks
- Pollen Image Classification Using the Classifynder System: Algorithm Comparison and a Case Study on New Zealand Honey
- Digital Image Processing and Analysis for Activated Sludge Wastewater Treatment
- A Complete System for 3D Reconstruction of Roots for Phenotypic Analysis.
