| Telemedicine technology has become a research focus of scholars at home and abroad,one of the solutions is taking care of the patients hundreds miles away by the portable monitoring devices. This paper has designed an intelligent care terminal in order to meet the needs of patients with cerebrovascular disease, the design program was given from hardware to software.For the hardware side, the 32-bit ARM920T microprocessor was selected as the host processor to control the intelligent terminal and data transmission and other tasks. Expanding the sub-module in the microprocessor peripheral device,it was included the power sub-module, memory sub-modules, human-machine interface sub-module, the clock and reset circuit sub-modules, JTAG debug sub-modules,GPRS sub-module and so on.The integrated heart sound sensor was selected to connect the intelligent terminals by using standard USB interface to transfer mini-USB interface cable in order to accomplish the data collection and data conversion and other tasks.On the software side, the design make the embedded real-time operating system linux as the application software development and operating platform, it introduced bootloader transplantation, linux kernel cutting and configuration and the construction of the file system.This article also make some research on physiological signal analysis and processing.First, analyzing the de-noising of heart sound signal, and the wavelet threshold de-noising method was introduced. And then the wavelet analysis and normalized average Shannon energy distribution were used to extract characteristic parameters from heart sound signal waveform. Finally, the BP neural network method was adopted to analyze and process the extracting characteristic parameters in order to obtain the patient diagnostic information. From the diagnostic results we can find this method can be completely applied to practice to complete the remote monitoring of patients. |
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