AT90s8535D CHIP APPLICATION FOR HEART RATE VARIABILITY DIAGNOSTIC SYSTEMS

Abstract

By using wireless mobile communications and mobile information terminals, Internet and the linking of computers and information technology to human bodies effectively, mobile computing can play an important role in modern technology that can be used by anybody anytime, anywhere, and can reconsider new technology with physiological measurements and reconstruct it creatively. In particular, mobile computing can intervene in the process of inducing biometric changes before diseased symptoms develop into diseases in an aging society. Nevertheless, there are difficulties, such as data, treatment by many parameters, ambiguity of data standardization and difficulty of the simultaneous collection of data etc. Therefore, in this study, a system was embodied by excluding time limiting factors using mobile computing and selecting the mobile neural dynamic coding method based on bioelectric signals. As a result of the experiment, it could be a model for biomedical Signal Mobile Analysis Devices and mobile biometric measuring devices, whose self-measurement can be made possible by an academic approach. Furthermore, it became the research foundation of the atypical characteristics of the formation of bioelectrical signals based on mobile applications and could be modeled in the structure circuit form of a biosignal.