Publications associées à Biofeedback

Virtual reality intervention alleviates dyspnoea in patients recovering from COVID-19 pneumonia

Olaf Blanke, Bruno Herbelin, Oliver Alan Kannape, Sylvain Cardin, Sophie Jacqueline Andrée Betka, Jemina Fasola, Florian Lance, Aline Schmit

Background Immersive virtual reality (iVR)-based digital therapeutics are gaining clinical attention in the field of pain management. Based on known analogies between pain and dyspnoea, we investigated the effects of visual respiratory feedback on persiste ...

European Respiratory Soc Journals Ltd2023

An attention-based deep learning approach for the classification of subjective cognitive decline and mild cognitive impairment using resting-state EEG

Silvestro Micera, Michael Lassi

Objective. This study aims to design and implement the first deep learning (DL) model to classify subjects in the prodromic states of Alzheimer's disease (AD) based on resting-state electroencephalographic (EEG) signals. Approach. EEG recordings of 17 heal ...

IOP Publishing Ltd2023

Infrared Activities of Adsorbed Species on Metal Surfaces: The Puzzle of Adsorbed Methyl (CH3)

Rainer Beck, Harmina Vejayan

Reflection–absorption infrared spectroscopy (RAIRS) is widely used to identify molecular adsorbates on metals during surface chemical reactions, but the interpretation of RAIRS data can be difficult with experiment alone. Here, we reveal from first-princip ...

2021

Sensitivity to temporal parameters of intraneural tactile sensory feedback

Silvestro Micera, Stanisa Raspopovic, Francesco Maria Petrini, Edoardo D'Anna, Ivo Strauss, Giacomo Valle

Background Recent studies have shown that neural stimulation can be used to provide artificial sensory feedback to amputees eliciting sensations referred on the amputated hand. The temporal properties of the neural stimulation modulate aspects of evoked se ...

BioMed Central2020

Hand Control With Invasive Feedback Is Not Impaired by Increased Cognitive Load

Silvestro Micera, Francesco Maria Petrini, Edoardo D'Anna, Ivo Strauss, Giacomo Valle

Recent experiments have shown that neural stimulation can successfully restore sensory feedback in upper-limb amputees improving their ability to control the prosthesis. However, the potential advantages of invasive sensory feedback with respect to non-inv ...

2020

Heart Rate Variability Triangular Index as a Predictor of Cardiovascular Mortality in Patients With Atrial Fibrillation

Jean-Marc Vesin, Vincent Schlageter

Background Impaired heart rate variability (HRV) is associated with increased mortality in sinus rhythm. However, HRV has not been systematically assessed in patients with atrial fibrillation (AF). We hypothesized that parameters of HRV may be predictive o ...

2020

Neurofeedback training with a low-priced EEG device leads to faster alpha enhancement but shows no effect on cognitive performance: A single-blind, sham-feedback study

Andreas Sonderegger, João Pedro de Matos Rodrigues

Introduction Findings of recent studies indicate that it is possible to enhance cognitive capacities of healthy individuals by means of individual upper alpha neurofeedback training (NFT). Although these results are promising, most of this research was con ...

2019

Data-driven tensor independent component analysis for model-based connectivity neurofeedback

Dimitri Nestor Alice Van De Ville, Frank Scharnowski, Yury Koush, Nemanja Masala

Neurofeedback based on real-time functional MRI is an emerging technique to train voluntary control over brain activity in healthy and disease states. Recent developments even allow for training of brain networks using connectivity feedback based on dynami ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2019

AltitudeOmics: Spontaneous Baroreflex Sensitivity During Acclimatization to 5,260 m: A Comparison of Methods

Jean-Marc Vesin, Sasan Yazdani

Introduction Baroreflex sensitivity (BRS) is essential to ensure rapid adjustment to variations in blood pressure (BP). Spontaneous baroreflex function can be assessed using continuous recordings of blood pressure. The goal of this study was to compare fou ...

2019

Myoelectric activity imaging and decoding with multichannel surface EMG for enhanced everyday life applicability

Silvestro Micera, Fiorenzo Artoni, Stefan Erich Hans-Jürgen Kreipe

Surface electromyography (sEMG) allows to evaluate neurophysiological aspects of movements. The traditional muscle-specific sEMG approach requires considerable expertise to correctly position bipolar derivations over each muscle of interest. This reduces t ...

IEEE2019