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Publications associées (31)

An Approach to a Phase Model for Steady State Visually Evoked Potentials

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Jaiber Evelio Cardona Aristizabal, Wilfredo Alfonso Morales

One of the most used signals in Brain Machine Interfaces (BMI) is the Steady State Visually Evoked Potentials (SSVEP). In a SSVEP-based BMI, a visual stimulus that flickers in a constant frequency is presented to the user, and the system has to detect if t ...

Springer International Publishing Ag2017

Prospective head motion correction using FID-guided on-demand image navigators

Rolf Gruetter, Tobias Kober, Gunnar Krüger, Tom Hilbert, Bénédicte Marie Maréchal, Pavel Falkovskiy, Reto Meuli, Maryna Volodimirivna Waszak, Guillaume Bonnier

PURPOSE: We suggest a motion correction concept that employs free-induction-decay (FID) navigator signals to continuously monitor motion and to guide the acquisition of image navigators for prospective motion correction following motion detection. METHODS: ...

Wiley-Blackwell2017

Genetic Optimization of Training Sets for Improved Machine Learning Models of Molecular Properties

Ursula Röthlisberger, Anatole von Lilienfeld, Nicholas John Browning

The training of molecular models of quantum mechanical properties based on statistical machine learning requires large data sets which exemplify the map from chemical structure to molecular property. Intelligent a priori selection of training examples is o ...

2017

Soft-Sphere Continuum Solvation in Electronic-Structure Calculations

Nicola Marzari, Oliviero Andreussi

We present an implicit solvation approach where the interface-between the quantum-mechanical solute and the surrounding environment is, described by a fully continuous permittivity built up with atomic-centered "soft" spheres. This approach combines many o ...

Amer Chemical Soc2017

MMSE Denoising of Sparse and Non-Gaussian AR(1) Processes

Michaël Unser, Emrah Bostan, Pedram Pad, Pouria Tohidi

We propose two minimum-mean-square-error (MMSE) estimation methods for denoising non-Gaussian first-order autoregressive (AR(1)) processes. The first one is based on the message passing framework and gives the exact theoretic MMSE estimator. The second is ...

IEEE2016

Comparing molecules and solids across structural and alchemical space

Michele Ceriotti, Sandip De

Evaluating the (dis)similarity of crystalline, disordered and molecular compounds is a critical step in the development of algorithms to navigate automatically the configuration space of complex materials. For instance, a structural similarity metric is cr ...

Royal Society of Chemistry2016

Ultra-Low Power Estimation of Heart Rate Under Physical Activity Using a Wearable Photoplethysmographic System

David Atienza Alonso, Francisco Javier Rincon Vallejos, Srinivasan Murali, Elisabetta De Giovanni

In the last years, the need for enhancing health and preventing problems with remote monitoring is increasing. A non-invasive low-cost technique for processing bio-signals and monitoring vital parameters, at rest and during physical activity, is the use of ...

IEEE Press2016

First-Principles Photoemission Spectroscopy of DNA and RNA Nucleobases from Koopmans-Compliant Functionals

Nicola Marzari, Giovanni Borghi, Andrea Ferretti

The need to interpret ultraviolet photoemission data strongly motivates the refinement of first-principles techniques that are able to accurately predict spectral properties. In this work, we employ Koopmans-compliant functionals, constructed to enforce pi ...

Amer Chemical Soc2016

Adaptive Frequency Tracking for Robust Heart Rate Estimation Using Wrist-Type Photoplethysmographic Signals During Physical Exercise

Jean-Marc Vesin, Sibylle Fallet

In recent years, wearable photoplethysmographic (PPG) biosensors have emerged as promising tools to monitor heart rate (HR) during physical exercise. However, PPG waveforms are easily corrupted by motion artifacts, rendering HR estimation difficult. In thi ...

2015

Prediction of surface temperature in lakes with different morphology using air temperature

Alfred Johny Wüest, Sebastiano Piccolroaz, Marco Toffolon, Martin Schmid

Temperature of the surface layer of temperate lakes is reconstructed by means of a simplified model on the basis of air temperature alone. The comparison between calculated and observed data shows a remarkable agreement (Nash-Sutcliffe efficiency indices a ...

American Society of Limnology and Oceanography2014

Hydrodynamic model calibration from pattern recognition of non-orthorectified terrestrial photographs

Paolo Perona

This paper presents a remote sensing technique for calibrating hydrodynamics models, which is particularly useful when access to the riverbed for a direct measure of flow variables may be precluded. The proposed technique uses terrestrial photography and a ...

Elsevier2014

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