Design And Realization Of Signal Processing Platform Of Telemedicine Center

The social population of old people increasingly serious. The old people who suffer from various chronic diseases, disability and old age disease of the elderly health care have become a heavy burden for many families. Even for those who live alone and freely action of healthy old people, when an emergency situation in need of social help, there are also certain difficulties. Therefore solve their health care issues to be imminent. Telemonitoring, compared with traditional in-hospital care, offers patients advantages such as low cost, more freedom and less interference with normal life, thus is a promising solution to above mentioned monitoring problem.This thesis introduces an innovative wearable remote physiological monitoring system. It is composed of two parts: wearable terminals and a telemedicine physiological monitoring center. Those two parts communicate with each other via GPRS network. In the terminal, an ARM controller is in charge of multi-channel physiological signal sampling (ECG, blood pressure, body temperature, etc); In the telemedicine physiological monitoring center, to achieve data reception, data display and data storage function is developed using LabVIEW development environment design center server monitoring software, and a DSP processor is employed to conduct real-time data processing. The notable feature of this design include: firstly, GPRS wireless communication network is utilized as data exchange media, which overcomes the shortcomings of traditional wired and short distance Radio Frequency methods, providing wide signal coverage and stable communication channels; Secondly, the design of the telemedicine center monitoring software is base on the virtual instrument technology, which utilizes high-performance DSP processor to construction signal processing platform of telemedicine center to conduct local physiological signal processing, which is able to provide the hospitals and medical care personnel with real-time feedbacks and warnings.In this thesis, the design and implementation of signal processing platform of telemedicine center, the telemedicine center monitoring software and the ECG signal processing algorithm are discussed in detail. In this design, the signal processor is the TMS320C6416T fixed-point DSP processor, manufactured by Texas Instrument Cooperation. This processor is featured as high performance, real-time performance and high computation capacity, which is very suitable for physiological signals processing. The telemedicine center monitoring software has the 5 main function modules: signal receiver module, real-time display module, alarm of monitoring signal module, medical database module, the center signal processor control module. The signal processing algorithm has an R-wave detection algorithm based on LADT, wavelet transformation and threshold detection.The experimental results demonstrate that the design of telemedicine center monitoring software is very efficient to receive and display various physiological real-time signals and realize the digital management of the medicine database. Processing results can be obtained within desired time and accuracy, which will be fed back to medical care personnel through the telemedicine center monitoring software. This paper offers a successful example for customizing general DSP device to medical signal processing applications.