The invention provides a method and a
system for identifying smog
disease cerebral blood flow collateral establishment conditions based on TCD parameters, and relates to the technical field of acoustic diagnosis, the method comprises the following steps: firstly, obtaining an original
transcranial Doppler spectrum
signal, calculating a filtering factor, and dynamically adjusting bandwidth and notch depth to realize optimal
noise reduction; segmenting the cleaned
signal by using a sliding window, and continuously analyzing dynamic changes such as instantaneous maximum speed, echo energy,
spectral entropy and the like; determining and executing first window resetting according to the window trend representation value to generate a first group of more stable and coherent
time domain segments; and performing multilayer
decomposition on the first group of segments, extracting features of each sub-band, and triggering a second round of window resetting to obtain a second group of more balanced segments, thereby not only suppressing
noise and keeping
signal details to the greatest extent, but also continuously optimizing window and filter setting for different monitoring environments, and improving the monitoring efficiency. Therefore, powerful
technical support is provided for noninvasive, dynamic and high-confidence identification of smog
disease cerebral blood flow collateral establishment conditions.