title: A new approach for investigating intracranial pressure signal: filtering and morphological features extraction from continuous recording.
abstract: Nowadays, the Intracranial Pressure (ICP) monitoring has become the most common method of investigation for both traumatic and chronic neural pathologies. ICP signals are typically triphasic, that is, in a single waveform, three subpeaks can be identified. This work outlines a new algorithm to identify subpeaks from the ICP recordings and to extract a number of 20 meaningful parameter trends. The validity of the implemented method has been proved through a comparison between the automatic subpeaks identification by the algorithm and the manually marked subpeaks by a neurosurgeon. The automatic marking system has identified subpeaks for the 63.74% (mean value) of pulse waves, providing the position and amplitude of each identified subpeak within a tolerance of ±7 samples. This automatic system provides a feature set to be used by classification software to obtain more precise and easier diagnosis in all those cases that involve brain damages or diseases.
authors.affiliation: Department of Electronic Engineering, Industrial Chemistry and Engineering of the University of Messina, Messina, Italy. acalisto@unime.it
authors.forename: Andrea
authors.initials: A
authors.lastname: Calisto
authors.forename: Massimiliano
authors.initials: M
authors.lastname: Galeano
authors.forename: Salvatore
authors.initials: S
authors.lastname: Serrano
authors.forename: Amedeo
authors.initials: A
authors.lastname: Calisto
authors.forename: Bruno
authors.initials: B
authors.lastname: Azzerboni
mesh_terms: D000328:Adult; D000368:Aged; D000465:Algorithms; D003936:Diagnosis, Computer-Assisted; D005260:Female; D006801:Humans; D006850:Hydrocephalus, Normal Pressure / Q000175:diagnosis / Q000503:physiopathology; D007427:Intracranial Pressure / Q000502:physiology*; D008297:Male; D008875:Middle Aged; D008991:Monitoring, Physiologic / Q000295:instrumentation / Q000379:methods; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D013129:Spinal Puncture; D014159:Transducers