Method for dynamically monitoring blood pressure based on multiple physiological characteristic parameters of ECG and PPG
A physiological feature and dynamic monitoring technology, applied in the field of medical testing, can solve the problems of low precision and achieve the effects of improving precision, solving low precision, solving effectiveness and comfort
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Embodiment 1
[0031] In this example, if figure 1As shown, a method for dynamically monitoring blood pressure based on ECG and PPG multiple physiological characteristic parameters, including:
[0032] Step 1: Signal preprocessing, receiving synchronously collected ECG signals and pulse wave PPG signals and performing noise reduction processing respectively;
[0033] Step 2: Fusion signal feature extraction, the preprocessed electrocardiogram ECG signal and pulse wave PPG signal are fused, and multiple physiological characteristic parameters of the fusion signal are extracted by using window movement;
[0034] Step 3: Accurate measurement of blood pressure, input multiple sets of multiple physiological characteristic parameters into the blood pressure estimation neural network analysis model for analysis, obtain the public blood pressure data measurement model, and input the individual to determine the blood pressure value to correct and compensate the public model blood pressure data relati...
Embodiment 2
[0044] In this embodiment, on the basis of Embodiment 1, a method for dynamically monitoring blood pressure based on ECG and PPG multiple physiological characteristic parameters includes:
[0045] Step 1: Signal preprocessing, receiving synchronously collected ECG signals and pulse wave PPG signals and performing noise reduction processing respectively;
[0046] Step 2: Fusion signal feature extraction, the preprocessed electrocardiogram ECG signal and pulse wave PPG signal are fused, and multiple physiological characteristic parameters of the fusion signal are extracted by using window movement;
[0047] Step 3: Accurate measurement of blood pressure, input multiple sets of multiple physiological characteristic parameters into the blood pressure estimation neural network analysis model for analysis, obtain the public blood pressure data measurement model, and input the individual to determine the blood pressure value to correct and compensate the public model blood pressure da...
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