Journal:Informatica
Volume 19, Issue 3 (2008), pp. 391–402
Abstract
Non-invasive physiological monitors are important subsystems of intensive care informatic systems. New innovative information methods and technology are presented for non-invasive human brain volumetric pulse wave physiological monitoring.
Experimental study of a new, non-invasive ultrasonic intracranial pulse wave monitoring technology show the reactions of non-invasively recorded intracranial blood volume pulse waves (IBVPW) on healthy volunteers in different human body positions. A group of 13 healthy volunteers was studied.
Body posture caused IBVPW, subwaves changes, ΔP2 = 18% and ΔP3 = 11%. The value of the IBVPW amplitude's ratio in supine and upright positions was 1.55 ± 0.61.
Journal:Informatica
Volume 19, Issue 3 (2008), pp. 363–376
Abstract
This paper is concerned with the problem of image analysis based detection of local defects embedded in particleboard surfaces. Though simple, but efficient technique developed is based on the analysis of the discrete probability distribution of the image intensity values and the 2D discrete Walsh transform. Robust global features characterizing a surface texture are extracted and then analyzed by a pattern classifier. The classifier not only assigns the pattern into the quality or detective class, but also provides the certainty value attributed to the decision. A 100% correct classification accuracy was obtained when testing the technique proposed on a set of 200 images.