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Publications associées (26)

System Design and Advanced Circuit Techniques for Bi-Directional Brain-Machine Interfaces

Wen-Yang Hsu

Bi-directional brain-machine interfaces (BBMIs) that can capture electrophysiological signals and provide feedback through electrical stimulation are emerging tools with various applica-tions in fundamental neuroscience research as well as in clinical trea ...

EPFL2018

Advances in High-Speed Atomic Force Microscopy

Adrian Pascal Nievergelt

High-speed atomic force microscopy (HS-AFM) is a scanning probe technique capable of recording processes at the nanometre scale in real time. By sequentially increasing the speed of individual microscope components, images of surfaces can be recorded at up ...

EPFL2018

Synthetic skin for recording and modulating physiological activities

Stéphanie Lacour, Grégoire Courtine, Pavel Musienko, Ivan Rusev Minev, Arthur Edouard Hirsch

A method for producing a device adapted to be implanted into the human body for purposes such as neural stimulation, sensing or the like, and device produced according to said method, said method comprising: providing a stretchable layer or membrane (21) o ...

2016

Physical Behavior in Older Persons during Daily Life: Insights from Instrumented Shoes

Kamiar Aminian, Anisoara Ionescu, Christopher Moufawad El Achkar

Activity level and gait parameters during daily life are important indicators for clinicians because they can provide critical insights into modifications of mobility and function over time. Wearable activity monitoring has been gaining momentum in daily l ...

Mdpi Ag2016

Effect of Ionic Diffusion on Extracellular Potentials in Neural Tissue

Daniel Keller

Recorded potentials in the extracellular space (ECS) of the brain is a standard measure of population activity in neural tissue. Computational models that simulate the relationship between the ECS potential and its underlying neurophysiological processes a ...

Public Library of Science2016

Binary Sparse Coding of Convolutive Mixtures for Sound Localization and Separation via Spatialization

Hervé Bourlard, Volkan Cevher, Afsaneh Asaei, Mohammadjavad Taghizadeh, Saeid Haghighatshoar

We propose a sparse coding approach to address the problem of source-sensor localization and speech reconstruction. This approach relies on designing a dictionary of spatialized signals by projecting the microphone array recordings into the array manifolds ...

Institute of Electrical and Electronics Engineers2016

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