tailieunhanh - Book: Biomedical Engineering_2

Biomedical Engineering can be seen as a mix of Medicine, Engineering and Science. In fact, this is a natural connection, as the most complicated engineering masterpiece is the human body. And it is exactly to help our “body machine” that Biomedical Engineering has its niche. This book brings the state-of-the-art of some of the most important current research related to Biomedical Engineering. | 16 On-site measurement data process and wavelet analysis techniques for recognizing daily physiological states Yoshitsugu Yasui NTT DoCoMo Advanced Technology Research Japan 1. Introduction The human body autonomously controls its physiological states in order to protect and sustain its life. Recently it has become possible to track daily cyclical characteristics of the physiological states and understand its system and effects Haro Panda 2006 . In order to observe the daily physiological changes in normal life the ability to acquire long-term stable measurements is crucial but without interfering with daily life activities. Also in real life situations where there are a variety of interruptions and extraneous noise sources data must be extracted and processed with a high degree of fidelity to be meaningful. The challenges are to develop wearable measurement instrumentation and data analysis techniques to extract daily changes in physiological state. Recent advancements in semiconductor technology allow for small and light-weight sensors to be attached to the body without any interference to daily function. Commercially available mobile devices such as cell phones are advanced enough to provide on-site computational power and data storage. Body temperature and heart rate are the two chosen attributes for measurement since both exhibit daily changes for clinical measurements Burger et al 1999 Simpson Galbraith 1905 Sandra Hanneman 2001 . On the other hand the study of cyclical physiological mechanisms such as biological clock Mendlewicz van Praag 1983 becomes applicable only when being monitored over periods of time. Noise elimination range filtering and techniques to recover damaged data are utilized to handle the existence of several types of noise interference and other constraints of daily life. For data analysis observed physiological state change is subtle and may not be represented by a series of sinusoidal oscillations. Traditional frequency decomposition .

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• Engineering Design
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• Multipath Environments
• Encephalographic Channel
• Disorder Characterization
• Varying paradigms
• Engineering drawing
• Lecture Engineering drawing and design
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