Advanced Medical Biometrics by David Zhang (.PDF)
File Size: 36.5 MB
Advanced Medical Biometrics by David Zhang, Chaoxun Guo, Bob Zhang
Requirements: .PDF reader, 36.5 MB | True PDF
Overview: In brief, this book provides the advanced sensing technologies including multi-sensor collaborative sensing for pulse signal acquisition, sensor array design for breath odor perception, and voice signal acquisition. Besides, this book summarizes the advances about pulse feature extraction with improved Gabor function, odor feature extraction based on de-convolution methods. This book also presents the latest recognition methods including evolutionary ensemble model to handle the imbalance problem, multi-feature complementary methods for face image, tongue images, and pulse analysis. Multi-modal hybrid fusion and self-adaptive score fusion for disease classification are proposed and proved effective for medical biometrics. Medical Biometrics (MB) plays an important role in AI-based healthcare and medical diagnosis. Different from the popular biometrics technologies, which acquire face, palm veins, iris, palmprint, or fingerprint for person identification, MB acquires various body-surface information (e.g., face, tongue, odor, wrist pulse, and voice) and uses them for disease detection. By far, MB has became an indispensable tool for disease detection as well as health evaluations, and other healthcare tasks. These years, MB attracts more attention, and various MB-based healthcare products emerge. Both researchers and engineers in pattern recognition and medical diagnosis will benefit from this book as it offers comprehensive understanding of the advanced signal acquisition techniques, related feature extraction methods, and state-of-the-art analysis methods.
Genre: Non-Fiction > Tech & Devices
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