Research Of Arteriosclerosis Detection System Based On Pulse Wave Measurement

The main reason of various cardiovascular and cerebrovascular diseases is caused by atherosclerosis, and many people die of arteriosclerosis caused disease each year. It is a great significance for cardiovascular and cerebrovascular diseases prevention and treatment by artery functions and the structure evaluation in early time.The atherosclerosis detection principle and testing method were studied in this paper, and the pulse wave velocity and the ankle brachial index method were used in this arterial functions and the structure evaluation system. This system can detect the arteries'function abnormal early, and reflect various risk factors for vascular injury. Myocardial infarction, cerebrovascular accident and sudden death were reduced, and life qualities were improved ,and life was prolonged,for early detection and treatmentThe whole arteriosclerosis detection system is formed by the lower level computer and PC two parts. Electrocardiogram, cardio phonogram and pulse wave parameter were measured directly in this system. The pulse wave velocity was known, by measuring pulse wave in two different arteries positions. The blood pressure can be calculated by the pulse wave too, and the arteries ankle brachial index was known using the blood pressure.Lower level computer system part includes hardware circuit design and lower level computer software. The whole hardware parts include electrocardio signal processing hardware circuit, heart sounds signal processing hardware circuit and pulse wave processing hardware circuit. Various regulated analog signals were converted into digital signals, by the control of microcontroller, and these data was send to personal computer by microcontroller. MSP430F149 microcontroller was used in this system, and lower level computer software was developed by IAR compile tools. C++ programming language was used in personal computer software; lower level computer was controlled by personal computer used communication interface. All signals were real-time displayed in the form of waveform by displayer, and display arteriosclerosis evaluation results too after detection.This paper was emphasis on lower place machine parts design, through commissioning connected with personal computer, the debugging results reach our design requirements, and finally the arteriosclerosis detection system were finished.