Acceleration sensor signal compensation method for thrombelastograph coagulation analyzer

Abstract

The invention provides an acceleration sensor signal compensation method for a thrombelastograph coagulation analyzer. Interference of sampling noise signals is eliminated through N-point mean filtering; meanwhile, a piezoelectric sensor technology is used, a vibration signal digital model is analyzed, vibration noise caused by vibration is eliminated, and effective dynamic signals are reserved; the frequency and amplitude of vibration have periodicity and randomness, and a good effect cannot be achieved under special conditions completely through a digital signal processing technology when the vibration is overlapped with effective signals, so that when feedback signals of a piezoelectric sensor are highly related with the vibration noise, the feedback signals of the piezoelectric sensorare input to compensate the dynamic signals to achieve a better filtering effect.

Description

technical field [0001] The invention relates to the field of signal processing, in particular to an acceleration sensor signal compensation method for a thromboelastography instrument. Background technique [0002] Thromboelastography is a dynamic sensor detection technology that collects the dynamic change signal of blood from coagulation to fibrinolysis engineering, and calculates the parameter results through data processing, which is used for the evaluation of the patient's coagulation characteristics, and is applied to coagulation in the field of LVD blood detection Analysis, evaluation of coagulation characteristics is often used in clinical evaluation, such as postoperative bleeding, thrombosis during or after cardiac surgery, organ transplantation, trauma and thrombosis during or after cardiac surgery. [0003] At present, the TEG elastography instrument of the American blood company can monitor the coagulation status of patients, mainly based on the following two fa...

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Problems solved by technology

[0004] However, the above method has the following problems: (1) The Teg data analysis software performs a single and simple filter on the passing dynamic signal, and mechanical vibration is often introduced in the instrument operation engineering, and the noise signal generated by mechanical vibration has a changing frequency. The noise signal cannot be eliminated at all; (2) The data screening algorithm can only eliminate the interference of small vibration signals to a certain extent, and in the initial stage of blood coagulation, the screening effect on the rapidly changing signal of blood coagulation is not very obvious

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