In a ubiquitous computing environment, the operation information on a product is collectable to a homeserver. Operation information in this paper means that the button on an operation panel are pushed and the door of a refrigerator are opened. This data is very extensive and is a motion level. Authors consider analysing this information by datamining method. That is, it is extracting the information about usability out of operation information by datamining. The authors propose this called In-Situ Ergonomics: gathering data from products in the actual situation, analysing data with datamining method and extract information for ergonomics research. In order to realize In-Situ Ergonomics, the following serves as a subject. - The collection method of the user operation information from each product - The accumulation method of a lot of data - The semantic analysis of operation information - datamining method - The cooperation method with the existing usability analysis method
The apex cardiographic index (peak DA/Dt)/A was compared with hemodynamic and angiographic indexes of left ventricular function in 32 patients with various cardiac diseases. The significant correlations were observed between (peak DA/Dt)/A and the following: (peak DP/Dt)/PIP (r = 0.71), (DP/Dt)/P at P = 50 mmHg (r = 0.81), Vmax (r = 0.88), and ejection fraction (r = 0.56). These data suggest that the apex cardiographic index is useful for the assessment of left ventricular function.
