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Biomedical subjects

E Rosselot

Publications and source records attributed to E Rosselot.

At least 19 recordsLinked to original sources

Interpretation module for screening normal ECG.

This work concerns the development of a module for automatic recognition of normal ECGs, i.e. those whose waves morphology do not suggest physiopathological or structural heart alterations. Such a unit constitutes the central part of an administrative system under development which will aid in the management of ECG testing in the primary care delivery level in Chile. This system greatly contributes to the optimal allocation of resources in order to increase the test delivery coverage and to reduce the social and private costs involved. A main feature of the system is that it operates through the screening of normal ECG. This process is performed in a computerized unit whose core is the interpretation module. The design of such a module uses concepts and methods previously developed for the general problem of medical diagnosis, based on fuzzy set theory. The interpretation module parameters were adjusted considering hypothetical and real data covering a wide variety of normal and pathological cases. Then its performance was tested using more than one hundred patients' records chosen at random. Results of this test are given and a discussion, including a comparison with similar commercial equipment, is provided.

Diagnosis, Computer-Assisted

[Conduction system disease and Charcot-Marie-Tooth syndrome].

A 57 year old patient with Charcot-Marie-Tooth syndrome developed complete A-V block due to trifascicular disease. The syndrome was present in 3 generations and the patient's mother had also complete A-V block. It is not known whether this interesting association is genetically determined or fortuitous.

Charcot-Marie-Tooth Disease

A fuzzy model for medical diagnosis.

A medical diagnosis support system based on a fuzzy model for illnesses is proposed. The model for each disease is a lattice structure composed by unidirectional fuzzy relations among intermediate diagnostic units (IDU). Its evaluation is sequential: it starts at the bottom units, the observable medical evidence (symptoms), and progresses through the IDUs to the cusp unit, representing the disease. Three types of IDUs are defined: for associated, non-associated and excluding evidence. These units represent medical concepts gathering knowledge under a common characteristic or criterion of diagnostic interest. Fuzzy unidirectional relations are used to quantify the medically known dependence between IDUs. The model is specified for six cardiopathies, identifying and calibrating its parameters using data from patient's records. The model performance is evaluated comparing results with the diagnosis provided by three medical observers on new patient's records. Concordance histograms are shown as an objective measure for the model performance. A discussion about application of the diagnosis sensitivity respect to symptoms and respect to IDUs relations is performed.

Computer Simulation