The invention discloses a sparse
data reconstruction method and a related device, and relates to the field of
data processing, and the method comprises the steps: obtaining an
intracranial pressure sparse data flow collected at a sampling rate in a preset low sampling rate range in a
sliding time window, calculating an
intracranial pressure mean value, taking the
intracranial pressure mean value as an initial value, and calculating the initial value; the method comprises the following steps: carrying out dynamic characteristic analysis on an intermediate intracranial
pressure data sequence obtained by preprocessing an intracranial pressure sparse
data stream, adding a step mark corresponding to a
pathological step to obtain a target intracranial
pressure data sequence, carrying out segmented fitting on the target intracranial
pressure data sequence to obtain a segmented fitting result, and carrying out
signal reconstruction to obtain a multi-component
mathematical model set; the sampling rate is set to be within a preset high sampling rate range, and a reconstructed intracranial pressure change waveform is generated. According to the method, the intracranial pressure sparse data flow is preprocessed, and then
step detection and
model reconstruction are carried out, so that an intracranial pressure
signal equivalent to an intracranial pressure
signal acquired at a high sampling rate and a change trend waveform of the intracranial pressure signal are reconstructed from the intracranial pressure sparse data flow at the low sampling rate.