Non-invasive arteriosclerosis detection method and device based on one-way pulse wave
A technology for arteriosclerosis and detection methods, applied in diagnostic recording/measurement, medical science, sensors, etc., can solve the problems of non-invasive detection of arteriosclerosis, such as unsatisfactory accuracy, and achieve the goal of improving user experience, uniform and moderate pressure, and ensuring accuracy Effect
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Embodiment 1
[0090] This embodiment provides a non-invasive detection method for arteriosclerosis, which can be performed by an arteriosclerosis detection device, which can be a portable device, and in one embodiment, the arteriosclerosis detection device is a wearable device, In another embodiment, the arteriosclerosis detection device is a portable terminal including a signal collector and a processor. The signal collector and the processor can be integrated or physically separated. In practical applications, the processor can also Mobile phones, tablet computers, etc. can be used to realize portable detection.
[0091] Such as figure 1 , a flow chart of a method for detecting the degree of arteriosclerosis shown in the present invention, specifically comprising the following steps:
[0092] S1: Collect one pulse wave signal among the pulse wave signals of multiple parts of the body of the target object;
[0093] S2: Preprocessing the collected pulse wave signal;
[0094]S3-1: Derivin...
Embodiment 2
[0128] For the non-invasive arteriosclerosis detection method provided in Embodiment 1, the embodiment of the present invention also provides a non-invasive arteriosclerosis detection device, see image 3 A schematic structural diagram of a detection device for the degree of arteriosclerosis is shown, including the following modules: a signal acquisition module, which collects pulse wave signals from major arterial points in the whole body or other locations convenient for pulse wave testing; a preprocessing module, which is used for filtering In addition to the high-frequency noise and low-frequency noise of the pulse wave signal; the time-domain feature extraction module is used to calculate the time-domain feature parameter set; the frequency-domain feature extraction module is used to calculate the frequency-domain feature parameter set; the PWTT extraction module is used for The PWTT is obtained by calculation; the information input module is used to input the physiologica...
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