Home healthcare system has lot of things to do for the integration with medical instruments in the sense of standardization. We will design and implement mobile healthcare system based on smart gateway thru adaptation of ISO/IEEE 11073, and HL7 standard. And also we are willing to research heart rate monitor, pulse-oxygen meter and ECG monitor in order to develop mobile healthcare system for medical appliance. We studied the connection of standard medical devices, i.e, continua health alliance under the Android 4.x Bluetooth HDP(Health Device Profile) environments. We also tried to implement healthcare system which can support diagnosis for healthcare provider and user based on HL7 standard.
키워드스마트 게이트웨이, 헬스케어시스템, 진단지원시스템, HDP, HL7
Abstract:The ubiquitous healthcare (u-healthcare) system refers to mobile healthcare that manages a user's health information; of critical importance in the healthcare system is the accuracy of the measured health data. However, in actual practice, the accuracy changes remarkably according to user motion artifacts in real life. Therefore, this study shows a simplified algorithm for real-time u-healthcare devices to detect the peak points in photoplethysmograph signals despite the existence of motion artifacts. The proposed algorithm consists of filter banks and fuzzy inference. In experiments to evaluate the performance of the proposed algorithm, we used several motion artifacts including finger and wrist movements, arm swinging, and walking; we then compared our results with the performances for the moving average (MA) and scaled Fourier linear combiner (SFLC) methods. The proposed method showed a better performance than the other methods in the experiment when detecting heartbeats.
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