| In today’s society,cardiovascular disease is one of the major disease of mankindhealth, and with the continuous improvement of people’s living standard in ourcountry and population aging, the increased morbidity and mortality. Therefore, thereare non-invasive detection methods to need to understand their own health status atany time。Pulse signal is a kind of nonlinear and non-stationary feeble physiologysignals, it contains a large number of physiological and pathological information,often to test and analyse, we can achieve for the early prevention and early treatmentof cardiovascular disease. This topic should be used in wearable computingtechnology developing the pulse data acquisition system, and develop pulse analysisprocessing software based on the LabVIEW.This paper confirm to develop on the basis of the Arduino as the core of theATmega16microcontroller, collected and stored, and integrated bluetooth module totransmit the data to PC.Upper machine based on LabVIEW as the platform, usingmultiple panels and modular design to develop a set of pulse signal analysis systemsoftware. The software including the pulse data management module, data acquisitionmodule, signal processing module, etc.Because of the pulse signal amplitude is lower,in the process of acquisition, it is easily mixed with noise signal such as interferenceand friction, for pulse signal feature extraction is easy to cause miscarriage, so itneeds to noise removal.In the paper, the collected pulse signal need remove noise. Through the analysisof pulse signal, we will be suitable for the wavelet denoising method of this paper,and the pulse data by using the method of wavelet extraction of characteristic value,its main purpose is to distinguish between normal pulse and the pulse of the patientdata, in order to judge whether the elderly onset, and achieve the purpose ofmonitoring the elderly health, and provide decision support for early prevention andtreatment of the elderly cardiovascular disease. |
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