The accuracy of QRS detection and premature ventricular beat (PVB) recognition by an on-line computer system was evaluated in a prospective study. Long-term studies in six cardiac patients and short term studies in thirty revealed a QRS detection accuracy of 99%. PVB accuracy was tested in twenty-eight patients for a total time of 415 minutes. About 10% of the heart beats in this group were rec...

In this paper, a large vocabulary sign language interpreter is presented with real-time continuous gesture recognition of sign language using a DataGlove. The most critical problem, end-point detection in a stream of gesture input is first solved and then statistical analysis is done according to 4 parameters in a gesture : posture, position, orientation, and motion. We have implemented a proto...

Abstract: The aim of this paper is to develop a subspace method for state-space identification of continuous-time systems using fractional commensurate models. As compared to the classical state-space representation, the commensurate differentiation order must be estimated besides the state-space matrices. The latter are estimated with conventional subspace-based techniques using QR and singula...

In this paper we present a new subspace identi cation algorithm for the identi cation of multiinput multi-output linear time-invariant continuous-time systems from measured frequency response data. We show how the conditioning of the data-matrices in the algorithm can be improved by making use of recursions derived from the Forsythe polynomials. The asymptotic properties are analyzed and it is ...

We consider a dynamical system where the state equation is given by a linear stochastic differential equation and noisy measurements occur at discrete times, in correspondence of the arrivals of a Poisson process. Such a system models a network of a large number of sensors that are not synchronized with one another, where the waiting time between two measurements is modelled by an exponential r...

This article presents a new indirect identification method for continuous-time systems able to resolve the problem of fast sampling. To do this, a Subspace IDentification DownSampling (SIDDS) approach that takes into consideration the intermediate sampling instants of the input signal is proposed. This is done by partitioning the data set into m subsets, where m is the downsampling factor. Then...

YES/MVS (Yorktown Expert System for MVS operators) is a continuous, real time expert system that exerts interactive control over an operating system as an aid to computer operators. This paper discusses the YES/MVS system, its domain of application, and issues that arise in the design and development of an expert system that runs continuously in real time.