Clinical methods used at present for the diagnosis of cartilage pathology in the knee are invasive in nature, and carry some risks. There exists a need for the development of a safe, objective, noninvasive method for early detection, localization, and quantification of cartilage pathology in the knee. This paper investigates the possibility of developing such a method based on an analysis of vibrations produced by joint surfaces rubbing against one another during normal movement. In particular, the method of modeling by linear prediction is used for adaptive segmentation and parameterization of knee vibration signals. Dominant poles are extracted from the model system function for each segment based on their energy contributions and bandwidths. These dominant poles represent the dominant features of the signal segments in the spectral domain. Two-dimensional feature vectors are then constructed using the first dominant pole and the ratio of power in the 40-120 Hz band to the total power of the segment. The potential use of this method to distinguish between vibrations produced by normal volunteers and patients known to have cartilage pathology (chondromalacia) is discussed.
Clinical methods used at present for the diagnosis of cartilage pathology in the knee are. invasive in nature, and carry some risks. We are interested in the development of a safe, objective, non-invasive method for early detection, localization and quantification of cartilage pathology in the knee. W e are investigating the possibility of developing such a method based on an analysis of sounds produccd by joint surfaces rubbing against each other during normal movements. The method of modelling by linear prediction is being used for identification and classification of knee sound signal segments. In the procedure being developed, feature vectors are constructed from the dominant poles of the model system function based on their energy contributions and bandwidths. The potential use of this method to distinguish between sounds produced by normal volunteers and patients known to have cartilage pathology (chondromalacia) is discussed in this paper.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.