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Biomedical subjects

M Yakata

Publications and source records attributed to M Yakata.

87 records · Page 5Linked to original sources
PubMedDate not supplied

Isochronal map of chest wall vibration with cardiokymography.

Mapping analysis of cardiokymography is helpful in clarifying the relationship between vibratory pattern and recording sites, but needs a highly stable recording technique. We have therefore studied the stability of recording cardiokymograms, and present here a new method for creating stable maps which enables diagnosis of chest-wall vibration abnormalities. Cardiokymograms were recorded on 16 points of the chest wall located at regular intervals horizontally and vertically. The time interval between a R-wave peak of the electrocardiograms and an E-point of the cardiokymograms were measured for all the 16 records. Isochronal maps in 23 healthy subjects were classified into four types. The map of a patient with myocardial infarction was quite different from any one of the four normal patterns and seemed to show a paradoxical movement of the chest wall.

Adult↗
PubMedDate not supplied

A discrimination value of serum lipid level on the basis of healthy and diseased persons.

We have established a discrimination value that classifies serum lipid levels, that is, total cholesterol, phospholipid, triglyceride, and beta-lipoprotein, into normal or abnormal state. The analysis was made using the linear discriminant function based on 720 normal subjects and 294 patients with coronary heart disease and/or diabetes mellitus. Basically, the function denoted as f is a linear combination of the predictor variables x(1),x(2),...,x(n) weighted by w(0),w(1),w(2),...,w(n). First, we obtained a function from the training set that consists of age-matched 204 normals and 204 patients. The predictor variables used are four serum constituents and age. Next, we tested the cross-validation of this function by the remainder of the samples (test set). Finally, we obtained a discrimination value, by which 96.1% of the training set and 96.3% of the test set was correctly classified.

Adult↗