A preliminary study for investigating idiopatic normal pressure hydrocephalus by means of statistical parameters classification of intracranial pressure recordings.
The objective of this study is to investigate Id-iopatic Normal Pressure Hydrocephalus (INPH) through a multidimensional and multiparameter analysis of statistical data obtained from accurate analysis of Intracranial Pressure (ICP) recordings. Such a study could permit to detect new factors, correlated with therapeutic response, which are able to validate a predicting significance for infusion test. The algorithm developed by the authors computes 13 ICP parameter trends on each of the recording, afterward 9 statistical information from each trend is determined. All data are transferred to the datamining software WEKA. According to the exploited feature-selection techniques, the WEKA has revealed that the most significant statistical parameter is the maximum of Single-Wave-Amplitude: setting a 27 mmHg threshold leads to over 90% of correct classification.
Calisto
A
A
Department of Matter Physics and Electronic Engineering, University of Messina, Italy. acalisto@unime.it
Bramanti
A
A
Galeano
M
M
Angileri
F
F
Campobello
G
G
Serrano
S
S
Azzerboni
B
B
D000328:Adult; D000368:Aged; D000465:Algorithms; D001698:Biomedical Engineering / Q000379:methods; D003627:Data Interpretation, Statistical; D001330:Electronic Data Processing; D004867:Equipment Design; D005260:Female; D006801:Humans; D006850:Hydrocephalus, Normal Pressure / Q000175:diagnosis* / Q000503:physiopathology; D007427:Intracranial Pressure / Q000502:physiology*; D008297:Male; D008875:Middle Aged; D010363:Pattern Recognition, Automated; D012815:Signal Processing, Computer-Assisted; D012984:Software; D013129:Spinal Puncture / Q000379:methods; D014160:Transducers, Pressure