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In this paper, we attempted to classify the acceleration signals for walking along a corridor and on stairs by using the wavelet-based fractal analysis method. In addition, the wavelet-based fractal analysis method was used to evaluate the gait of elderly subjects and patients with Parkinson's disease. The triaxial acceleration signals were measured close to the center of gravity of the body while the subject walked along a corridor and up and down stairs continuously. Signal measurements were recorded from 10 healthy young subjects and 11 elderly subjects. For comparison, two patients with Parkinson's disease participated in the level walking. The acceleration signal in each direction was decomposed to seven detailed signals at different wavelet scales by using the discrete wavelet transform. The variances of detailed signals at scales 7 to 1 were calculated. The fractal dimension of the acceleration signal was then estimated from the slope of the variance progression. The fractal dimensions were significantly different among the three types of walking for individual subjects (p< 0.01) and showed a high reproducibility. Our results suggest that the fractal dimensions are effective for classifying the walking types. Moreover, the fractal dimensions were significantly higher for the elderly subjects than for the young subjects (p < 0.01). For the patients with Parkinson's disease, the fractal dimensions tended to be higher than those of healthy subjects. These results suggest that the acceleration signals change into a more complex pattern with aging and with Parkinson's disease, and the fractal dimension can be used to evaluate the gait of elderly subjects and patients with Parkinson's disease.

Oligosaccharides are increasingly being recognized as important partners in receptor-ligand binding and cellular signaling. Surface plasmon resonance (SPR) is a very powerful tool for the real-time study of the specific interactions between biological molecules. We report here an advanced method for the immobilization of oligosaccharides in clustered structures for SPR and their application to the analysis of heparin-protein interactions. Reductive amination reactions and linker molecules were designed and optimized. Using mono-, tri-, or tetravalent linker compounds, we incorporated synthetic structurally defined disaccharide units of heparin and immobilized them as ligands for SPR. Their binding to an important hemostatic protein, von Willebrand factor (vWf), and its known heparin-binding domain was quantitatively analyzed. These multivalent ligand conjugates exhibited reproducible binding behavior, with consistency of the surface conditions of the SPR chip. This novel technique for oligosaccharide immobilization in SPR studies is accurate, specific, and easily applicable to both synthetic and naturally derived oligosaccharides.

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