Jens Strackeljan

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AIM We recently introduced an experimental surface detection system based on a conventional dental ultrasonic scaler. This device automatically discriminates cementum and dental calculus, which is the prerequisite for complete and thorough calculus removal. In the present study, the detection limits of this device were tested in vitro. MATERIAL AND(More)
AIM We have recently tested a surface detection system based on a conventional dental ultrasonic scaler in vitro. The aim of the present study was to investigate sensitivity and the specificity of the detection device in vivo. MATERIAL AND METHODS Subgingival buccal surfaces of 63 arbitrarily selected periodontally compromised teeth were scanned(More)
Biological processes and methods have been influencing science and technology for many decades. The ideas of feedback and control processes Norbert Wiener used in his cybernetics were based on observation of these phenomena in biological systems. Artificial intelligence and intelligent systems have been fundamentally interested in the phenomenology of(More)
For pattern recognition, fuzzy set theory has been proven to be highly useful. The aim of the present investigation was to combine the fuzzy set with an ultrasonic scaler, to test its suitability for automatic detection of different tooth substances. An experienced operator placed the tip of a piezoceramic ultrasonic scaler on a tooth, thereby inducing(More)
STUDY OBJECTIVE The objective of subgingival instrumentation of periodontally diseased root surfaces is to remove the adhering microbial biofilm and calcified deposits. Recently, we have described an automated calculus detection system under static conditions. Clinically however, the tip of the system has to be moved over tooth surfaces. It was thus(More)
OBJECTIVES The aim of periodontal therapy is always the complete debridement of root surfaces with the removal of calculus and without damaging cementum. We have recently demonstrated the feasibility of a surface recognition device that discriminates dental surfaces by mathematical analysis of reflected ultrasound waves. This principle should enable the(More)
BACKGROUND Recently, pilot studies from our laboratory have shown that dental surfaces may be discriminated by the analysis of tip oscillations of an ultrasonic instrument, which possesses computerized calculus-detection features. For the evaluation of this smart detection system, its surface recognition qualities are of crucial importance. For in vivo(More)
Data preprocessing and a careful selection of the training and classification method are key steps for building a predictive model with high performance. Here, we present the approach used for training and classification in our solutions submitted to the 2005 GfKl Data Mining Competition. The initial step of data preprocessing is described in the first part(More)
During the last decades there has been an increasing interest to develop engineering tools inspired by the human immune system are called Artificial Immune Systems (AIS). The immune system, with its cell diversity and variety of information processing mechanisms, is a cognitive system of complexity comparable to the brain. Understanding the way this organ(More)