35,385 research outputs found

    Automatization techniques for processing biomedical signals using machine learning methods

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    The Signal Processing Group (Department of Signal Theory and Communications, University Carlos III, Madrid, Spain) offers the expertise of its members in the automatic processing of biomedical signals. The main advantages in this technology are the decreased cost, the time saved and the increased reliability of the results. Technical cooperation for the research and development with internal and external funding is sought

    A 64-channel inductively-powered neural recording sensor array

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    This paper reports a 64-channel inductively powered neural recording sensor array. Neural signals are acquired, filtered, digitized and compressed in the channels. Additionally, each channel implements a local auto-calibration mechanism which configures the transfer characteristics of the recording site. The system has two operation modes; in one case the information captured by the channels is sent as uncompressed raw data; in the other, feature vectors extracted from the detected neural spikes are transmitted. Data streams coming from the channels are serialized by an embedded digital processor and transferred to the outside by means of the same inductive link used for powering the system. Simulation results show that the power consumption of the complete system is 377μW.Ministerio de Ciencia e Innovación TEC2009-0844

    A power efficient neural spike recording channel with data bandwidth reduction

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    This paper presents a mixed-signal neural spike recording channel which features, as an added value, a simple and low-power data compression mechanism. The channel uses a band-limited differential low noise amplifier and a binary search data converter, together with other digital and analog blocks for control, programming and spike characterization. The channel offers a self-calibration operation mode and it can be configured both for signal tracking (to raw digitize the acquired neural waveform) and feature extraction (to build a first-order PWL approximation of the spikes). The prototype has been fabricated in a standard CMOS 0.13μm and occupies 400μm×400μm. The overall power consumption of the channel during signal tracking is 2.8μW and increases to 3.0μW average when the feature extraction operation mode is programmed.Ministerio de Ciencia e Innovación TEC2009-08447Junta de Andalucía TIC-0281

    Is Corruption Really Bad for Inequality? Evidence from Latin America

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    This paper presents new evidence on the relationship between corruption and income inequality. Using a panel data methodology, we find that lower corruption is associated with higher income inequality in Latin America. This result is in contrast to other empirical studies but it makes sense in Latin America for a number of reasons. The finding of an inverse relationship between inequality and corruption suggests that institutional reform policies by themselves may be misguided.Corruption, Inequality, Latin America

    Gun control and suicide: The impact of state firearm regulations, 1995–2004

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    Suicide is a major cause of preventable death. Restricting access to lethal means has been identified as an effective approach to suicide prevention, and firearms regulations are one way to reduce gun availability. This study examines the relationship between state firearms regulations and suicide among males, using negative binomial regression and state panel data for the years 1995–2004. Results suggest that firearms regulations which function to reduce overall gun availability have a significant deterrent effect on suicide, while prohibited persons categories have less of an effect. Overall, the results suggest that gun control measures such as permit and licensing requirements might have public health benefits.suicide, guns, state regulations, panel data
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