The invention discloses a
biomedical signal noise reduction method and device based on multi-dimensional
information fusion and a medium, and relates to the technical field of
biomedical signal processing.The method comprises the steps that an original
ECG signal, an original ACC
signal and an original GYRO
signal of a target user in a dynamic electrocardiogram monitoring scene are preprocessed; performing layered
noise reduction on the preprocessed first
ECG signal; and according to the preprocessed first ACC
signal and the first GYRO signal, carrying out
artifact suppression on ECG features extracted from the second
ECG signal subjected to layered
noise reduction, inversely mapping the target ECG features subjected to
artifact suppression to the space of the second ECG signal, and determining a target ECG signal which is high in signal-to-noise ratio and contains a complete P-QRS-
T wave group. According to the method and the device, the cooperative suppression of various noise types in dynamic electrocardiogram monitoring is realized, the
clinical diagnosis value of the ECG signal is guaranteed, and the
noise reduction effect and the signal availability rate of the ECG signal in a dynamic scene are improved.