The development of a new training system for improving equilibrium sense using a virtual bicycle simulator.

In this paper, a new rehabilitation training system was developed to improve equilibrium sense control by combining virtual reality technology with a fixed exercise bicycle. In order to evaluate the effectiveness of the training system, twenty normal healthy adults participated as test subjects in the investigation of the influence of different the parameters on equilibrium sensory control. Several factors including path deviation, cycling time, cycling velocity, center of pressure were evaluated and analyzed quantitatively.

Experimental studies on the training of postural control using an unstable platform.

We performed experimental studies on the training of postural control using a training system which consists of an unstable platform, a computer, a computer interface, a monitoring device, and training programs. Using this system with the training programs that we have developed, we performed a variety of experiments of training the abilities of postural control of subjects. To evaluate the effects of the training, the parameters on how long a subject can maintain a focus on a target, the mean absolute deviation of the trace, and the fatigue of the muscles in lower limbs were measured.

Probe classification of on-off type DNA microarray images with a nonlinear matching measure.

We propose a nonlinear matching measure, called counting measure, as a signal detection measure that is defined as the number of on pixels in the spot area. It is applied to classify probes for an on-off type DNA microarray, where each probe spot is classified as hybridized or not. The counting measure also incorporates the maximum response search method, where the expected signal is obtained by taking the maximum among the measured responses of the various positions and sizes of the spot template.