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Publications associées (26)

Recording physiological history of cells with chemical labeling

Kai Johnsson, Julien Hiblot

Recordings of the physiological history of cells provide insights into biological processes, yet obtaining such recordings is a challenge. To address this, we introduce a method to record transient cellular events for later analysis. We designed proteins t ...

American Association for the Advancement of Science2024

Comparing end-tidal CO2, respiration volume per time (RVT), and average gray matter signal for mapping cerebrovascular reactivity amplitude and delay with breath-hold task BOLD fMRI

Stefano Moia

Cerebrovascular reactivity (CVR), defined as the cerebral blood flow response to a vasoactive stimulus, is an imaging biomarker with demonstrated utility in a range of diseases and in typical development and aging processes. A robust and widely implemented ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2023

Observation of non-reciprocal harmonic conversion in real sounds

Romain Christophe Rémy Fleury, Hervé Lissek, Xinxin Guo

Reciprocity guarantees that in most media, sound transmission is symmetric between two points of space when the location of the source and receiver are interchanged. This fundamental law can be broken in non-linear media, often at the cost of detrimental i ...

2023

Walsh-Hadamard-Based Orthogonal Sampling Technique for Parallel Neural Recording Systems

Alexandre Schmid, Reza Ranjandish

Walsh-Hadamard based orthogonal sampling of signals is studied in this paper, and an application of this technique is presented. Using orthogonal sampling, a single analog-to-digital converter (ADC) only is sufficient to perform parallel (simultaneous) rec ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Sampling Geometry and Colour

Michalina Wanda Pacholska

In this thesis, we take a signal-processing approach to two research areas outside of the core of the signal processing research: geometry reconstruction and light propagation through non-uniform media. In the first area, we consider new sampling schemes ...

EPFL2021

Sound Field Reconstruction in a room through Sparse Recovery and its application in Room Modal Equalization

Vu Thach Pham

The acoustics of a room often refer to the quality of the room in terms of sound recording as well as sound reproduction. At low frequencies, where the wavelengths are of the same order of magnitude with the dimensions of the room, due to the standing wave ...

EPFL2021

Electrical Signal Modeling in Cochlear Implants. Study of Temperature and Humidity Effects

Maria-Alexandra Paun

The present paper discusses the climatic effects of humidity and temperature on cochlear implant functioning and the quality of the electrical sound signal. MATLAB Simulink simulations were prepared, offering insights into signal behavior under such climat ...

MDPI2021

Optogenetic Interrogation of Circuits Following Neurotrauma

Grégoire Courtine, Steven Lee Ceto

Biological and engineering strategies for neural repair and recovery from neurotrauma continue to emerge at a rapid pace. Until recently, studies of the impact of neurotrauma and repair strategies on the reorganization of the central nervous system have fo ...

FRONTIERS MEDIA SA2021

Viscoelastic surface electrode arrays to interface with viscoelastic tissues

Stéphanie Lacour, Florian Dylan Fallegger, Nicolas Vachicouras, Alix Esther Anne Trouillet, Christina Myra Tringides

Bioelectronic interfacing with living tissues should match the biomechanical properties of biological materials to reduce damage to the tissues. Here, the authors present a fully viscoelastic microelectrode array composed of an alginate matrix and carbon-b ...

Nature Research2021

Adaptive Task-Space Force Control for Humanoid-to-Human Assistance

Anastasia Bolotnikova

We envision a humanoid robot to serve as a source of additional motion-support forces in assistance for frail persons. In this context, we present a control strategy for a humanoid to adaptively regulate its assistive force contribution. First, we identify ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithms

David Atienza Alonso, Tomas Teijeiro Campo, Lara Orlandic

Overview Cough audio signal classification has been successfully used to diagnose a variety of respiratory conditions, and there has been significant interest in leveraging Machine Learning (ML) to provide widespread COVID-19 screening. Th ...

Zenodo2021

Transient Neurovascular Interface for Minimally Invasive Neural Recording and Stimulation

Diego Ghezzi, Philippe Reymond, Laura Ferlauto, Adele Fanelli, Elodie Geneviève Zollinger

Neural interfaces are used to mitigate the burden of traumatic injuries, neurodegenerative diseases, and mental disorders. However, the transient or permanent placement of an interface in close contact with the neural tissue requires invasive surgery, pote ...

Wiley2021

Volcano-Shaped Scanning Probe Microscopy Probe for Combined Force-Electrogram Recordings from Excitable Cells

Philippe Renaud, Arnaud Bertsch, Georg Fantner, Mélanie Thérèse Marie Hannebelle, Benoît Xavier Emmanuel Desbiolles

Atomic force microscopy based approaches have led to remarkable advances in the field of mechanobiology. However, linking the mechanical cues to biological responses requires complementary techniques capable of recording these physiological characteristics ...

AMER CHEMICAL SOC2020

Longitudinal neural and vascular structural dynamics produced by chronic microelectrode implantation

Andrea Lozzi

Implanted microelectrode arrays sense local neuronal activity, signals which are used as control commands for brain computer interface (BCI) technology. Patients with tetraplegia have used BCI technology to achieve an extraordinary degree of interaction wi ...

2020

Single-molecule sensing of peptides and nucleic acids by engineered aerolysin nanopores

Aleksandra Radenovic, Matteo Dal Peraro, Chan Cao

Nanopore sensing is a powerful single-molecule approach for the detection of biomolecules. Recent studies have demonstrated that aerolysin is a promising candidate to improve the accuracy of DNA sequencing and to develop novel single-molecule proteomic str ...

Nature Research2019

Black Lipid Membranes: Challenges in Simultaneous Quantitative Characterization by Electrophysiology and Fluorescence Microscopy

Esther Amstad

Horizontal black lipid membranes (BLMs) enable optical microscopy to be combined with the electrophysiological measurements for studying ion channels, peptide pores, and ionophores. However, a careful literature review reveals that simultaneous fluorescenc ...

AMER CHEMICAL SOC2019

Implantable Autonomous Wireless Closed-loop Bio-electronics for Epilepsy Control

Reza Ranjandish

Implantable electronic medical device (IEMD) is an emerging technology that plays an important role in the treatment of several neurological disorders such as epilepsy, especially in the cases of drug-resistant epilepsy. Recent developments and studies sho ...

EPFL2019

Imaging through multimode fibers using deep learning: The effects of intensity versus holographic recording of the speckle pattern

Demetri Psaltis, Christophe Moser, Damien Claude-Marie Loterie, Eirini Kakkava, Babak Rahmani, Ugur Tegin, Navid Borhani, Georgia Konstantinou

Information transmission through multimode fibers (MMFs) has been a topic of great interest for many years. Deep learning algorithms have been applied successfully to MMFs in particular to fiber endoscopy. In this work, we show how Deep Neural Networks (DN ...

2019

A 4-channel 5.04 μW 0.325 mm2 Orthogonal Sampling-Based Parallel Neural Recording System

Alexandre Schmid, Reza Ranjandish

The application of orthogonal sampling for parallel neural recording is presented in this paper. Orthogonal sampling enables reducing the number of the I Cs in conventional recording systems into one single unit. Consequently, the ADC bandwidth and dynamic ...

IEEE2018

Low Frequency Sound Field Reconstruction in Non-rectangular Room: A Numerical Validation

Hervé Lissek, Etienne Thierry Jean-Luc Rivet, Vu Thach Pham

Characterization of sound fields in rooms has always been a challenging task. A faithful reconstruction of sound fields in rooms generally would require an impractically high number of microphones. At low frequencies, where sound field can be modeled as a ...

2018