Modulation spectrum-constrained trajectory error training for mixture density network-based speech synthesis.

In statistical parametric speech synthesis, a mixture density network is employed to address the limitations of a linear output layer such as pre-computed fixed variances and the unimodal assumption. However, it also has a defect, i.e.

Enhancing the pulse contour analysis-based arterial stiffness estimation using a novel photoplethysmographic parameter.

In this paper, we propose a novel method for enhancing pulse contour analysis-based arterial stiffness estimation using a simple and low-complexity photoplethysmographic parameter (P2Ocd). The method first eliminates baseline wanders in the digital volume pulse (DVP) by applying a simple morphological filter. The filtered DVP signal is then transformed into a slope sum function signal to simplify the pulse peak detection process by enhancing the upslope of the DVP signal while suppressing its downslope.

A Gaussian Model-Based Probabilistic Approach for Pulse Transit Time Estimation.

In this paper, we propose a new probabilistic approach to pulse transit time (PTT) estimation using a Gaussian distribution model. It is motivated basically by the hypothesis that PTTs normalized by RR intervals follow the Gaussian distribution. To verify the hypothesis, we demonstrate the effects of arterial compliance on the normalized PTTs using the Moens-Korteweg equation.

A robust method for pulse peak determination in a digital volume pulse waveform with a wandering baseline.

This paper presents a robust method for pulse peak determination in a digital volume pulse (DVP) waveform with a wandering baseline. A proposed new method uses a modified morphological filter (MMF) to eliminate a wandering baseline signal of the DVP signal with minimum distortion and a slope sum function (SSF) with an adaptive thresholding scheme to detect pulse peaks from the baseline-removed DVP signal. Further in order to cope with over-detected and missed pulse peaks, knowledge based rules are applied as a postprocessor.

A knowledge-based approach to arterial stiffness estimation using the digital volume pulse.

We have developed a knowledge based approach for arterial stiffness estimation. The proposed new approach reliably estimates arterial stiffness based on the analysis of age and heart rate normalized reflected wave arrival time. The proposed new approach reduces cost, space, technical expertise, specialized equipment, complexity, and increases the usability compared to recently researched noninvasive arterial stiffness estimators.

Three-dimensional electro-floating display system using an integral imaging method.

A new-type of three-dimensional (3D) display system based on two different techniques, image floating and integral imaging, is proposed. The image floating is an antiquated 3D display technique, in which a large convex lens or a concave mirror is used to display the image of a real object to observer. The electro-floating system, which does not use a real object, requires a volumetric display part in order to present 3D moving pictures.