This document discusses the characteristics of electrocardiogram (ECG) signals and different front-end approaches for ECG signal acquisition. The tradeoffs between different approaches and the effects on overall system design are discussed. The report also includes descriptions of potential implementations of the front-end architecture using the ADS1258 and ADS1278 and respective noise measurem...

Quality of Service (QoS) is a very important aspect in Next Generation Telecommunication Networks. A traffic-saving QoS monitoring concept, based on the virtual grouping of user terminals, has been developed. This paper shows a bootstrap issue existing within this concept, and introduces a mechanism supporting the reliable initialisation of the monitoring concept.

Quality of Service (QoS) is a very important aspect in Next Generation Telecommunication Networks. A traffic-saving QoS monitoring concept, based on the virtual grouping of user terminals, has been developed. This paper shows a bootstrap issue existing within this concept, and introduces a mechanism supporting the reliable initialisation of the monitoring concept.

This paper proposes a new, e cient, gure from ground discrimination method. This algorithm is based on the assumption that background data features can be more easily detected than gure data features, thus emphasizing the background detection task (and implying the name of the method). Along the iterative labeling process, data features are sequentially and permanently labelled as "background",...

Finite mixture models are a popular tool for modelling unobserved heterogeneity. As these models are in general very complex, it is essential to have suitable methods for model diagnostics which allow e.g. to check for model identifiability, model fit and possible model restrictions. In this paper we propose to use the parametric bootstrap for model diagnostics and to visualize the bootstrap re...

We describe a novel approach for automatically predicting the hidden demographic properties of social media users. Building on prior work in common-sense knowledge acquisition from third-person text, we first learn the distinguishing attributes of certain classes of people. For example, we learn that people in the Female class tend to have maiden names and engagement rings. We then show that th...

Credit migration matrices are cardinal inputs to many risk management applications; their accurate estimation is therefore critical. We explore two approaches: cohort and two variants of duration – one imposing, the other relaxing time homogeneity – and the resulting differences, both statistically through matrix norms and economically using a credit portfolio model. We propose a new metric for...

We use recent advances in the multiple testing literature to identify those countries for which Purchasing Power Parity (PPP) held over the last century. The approach controls the multiplicity problem inherent in simultaneously testing for PPP on several time series, thereby avoiding spurious rejections. It has higher power than traditional multiple testing techniques by exploiting the dependen...

We propose a model of spectral contextual e ects to simulate the superior recognition ability of humans and apply it to a front-end processor for word spotting. This model assumes that perceived spectra are in uenced by adjacent spectral peaks and that the magnitude of the in uence can be estimated by the minimum classi cation error criterion. Three experiments were carried out to evaluate the ...