Machine-learning-based denoising of doppler ultrasound blood flow and intracranial pressure signal

A computer implemented method for reducing noise in continuously monitored quasi-periodic biosignals without prior knowledge of the noise distribution, the method comprising:

• (a) acquiring one or more reference signals;
• (b) forming a subspace representation of the reference signals to produce a learned manifold graph;
• (c) iteratively projecting successive signals on the learned manifold graph;
• and
• (d) reconstructing the most likely shape of a successive signal;
• (e) wherein said method is performed by a computer processor executing instructions stored on a non-transitory computer-readable medium.

A computer readable non-transitory medium storing instructions executable by a computer processor, said instructions when executed by the computer processor performing the steps comprising:

• (a) acquiring a plurality of reference signals;
• (b) forming a subspace representation of the reference signals to produce a learned manifold graph;
• (c) iteratively projecting successive noisy signals on the learned manifold graph;
• and
• (d) reconstructing the most likely shape of a successive input signal.