Search PubMed⌕ Search

Biomedical subjects

A Iwata

Publications and source records attributed to A Iwata.

At least 109 records · Page 6Linked to original sources
PubMed1986

Distribution of fibronectin, microtubules and microfilaments in the melanophore of the medaka, Oryzias latipes.

Distributions of fibronectin, microtubules and microfilaments in the melanophore of the medaka, Oryzias latipes, were studied using immunofluorescence. We found fluorescent fibers of fibronectin running from the central region to the periphery of the melanophore, but patterns differed depending on whether melanophores had been treated with methanol. Fibrous structures were present in methanol-treated melanophores, whereas only diffuse fluorescence was seen in untreated ones. These fibrous structures, thought to be microtubules, were arranged radially. Actin fibers also showed a radial arrangement, but were not as well organized. In addition, granules with actin immunofluorescence were present.

Actin Cytoskeleton↗
PubMed1978

On the stationarity and normality of the electroencephalographic data during sleep stages.

In this paper, we show techniques to examine the stationarity and the normality of time series as well as results obtained by applying these techniques to EEG data during sleep stages. Many statistical analyses of the EEG data are based on the assumption that the EEG data are stationary and normally distributed. However, the problem is to know the length of data which is most appropriate for the statistical analysis. From the analysis, it is found that a decreased length of data implies an increased degree of stationarity and normality in each stage of sleep. However, for the practical stationary analysis of EEG data, it is shown that it is appropriate to take about 5 s during sleep state. Stationarity is fulfilled to a relatively large extent in REM but more seldom in stage 2. In the case of short data, asymmetric distribution occupies the large parts of non-normal distribution. As the length of data increases the proportion which is symmetric but sharper or flatter than the normal distribution increases.

Computers↗
PubMed1977

Stationarity and normality test for biomedical data.

Biomedical data, such as EEG, EMG and neural impulse sequences, are regarded as the stochastic phenomena of biological systems, and the statistical properties of such time series are often examined. Most of the statistical analysis processed in the frequency and the time domain are based on the assumption that the time series is weakly stationary and normally distributed. Therefore, as the basis of the statistical analysis of the biomedical data, it is necessary to know whether they satisfy the conditions of weak stationarity and normality. However, impulse response and evoked potential biomedical data, are not regarded as the stationary time series. Therefore, other analysis is required. In this paper, the authors present four programs, TEST1, TEST2, TEST3 and TEST4, to examine above conditions. Furthermore, in order to clarify the characteristic of each program, the time series were generated by the computer and examined by the test programs.

Diagnosis, Computer-Assisted↗