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Concept

Biofeedback

Related publications (21)

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

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

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

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

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

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

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

Cortico-Muscular Coherence Is Reduced Acutely Post-stroke and Increases Bilaterally During Motor Recovery: A Pilot Study

José del Rocio Millán Ruiz, Serafeim Perdikis, Tiffany Corbet

Motor recovery following stroke is believed to necessitate alteration in functional connectivity between cortex and muscle. Cortico-muscular coherence has been proposed as a potential biomarker for post-stroke motor deficits, enabling a quantification of r ...

2019

Motor Attempt EEG Paradigm As a Diagnostic Tool for Disorders of Consciousness

José del Rocio Millán Ruiz, Serafeim Perdikis, Christoph Schneider

To investigate whether a motor attempt EEG paradigm coupled with functional electrical stimulation can detect command following and, therefore, signs of conscious awareness in patients with disorders of consciousness, we recorded nine patients admitted to ...

2018

Neuroprosthetics to support impaired hand functions: A multidisciplinary approach combining brain-machine interfaces and wearable exoskeletons

Luca Randazzo

Neuroprosthetics, the discipline that aims at interfacing neural systems to artificially engineered devices, has witnessed in recent years important advancements towards the ultimate goal of augmenting and restoring human functions through technology and a ...

EPFL2018

A Computational Approach for the Design of Epidural Electrical Spinal Cord Stimulation Strategies to Enable Locomotion after Spinal Cord Injury

Emanuele Formento

Spinal cord injury (SCI) is a major cause of paralysis with currently no effective treatment. Epidural electrical stimulation (EES) of the lumbar spinal cord has been shown to restore locomotion in animal models of SCI, but has not yet reached the same lev ...

EPFL2018

OpenNFT: An open-source Python/Matlab framework for real-time fMRI neurofeedback training based on activity, connectivity and multivariate pattern analysis

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

Neurofeedback based on real-time functional magnetic resonance imaging (rt-fMRI) is a novel and rapidly developing research field. It allows for training of voluntary control over localized brain activity and connectivity and has demonstrated promising cli ...

Elsevier2017

A Computational Framework for the Design of Spinal Neuroprostheses

Silvestro Micera, Grégoire Courtine, Jocelyne Bloch, Marco Capogrosso

Severe Spinal Cord Injury (SCI) alters the communication between supra-spinal centers and the sensorimotor networks coordinating limb movements, which are usually located below the injury. Epidural electrical stimulation of lumbar segments has shown the ab ...

Springer International Publishing Ag2017

Signal Processing Approaches for Cardio-Respiratory Biosignals with an Emphasis on Mobile Health Applications

Leila Mirmohamadsadeghi

We humans are constantly preoccupied with our health and physiological status. From precise measurements such as the 12-lead electrocardiograms recorded in hospitals, we have moved on to mobile acquisition devices, now as versatile as smart-watches and sma ...

EPFL2017

The effect of multimodal and enriched feedback on SMR-BCI performance

José del Rocio Millán Ruiz, Robert Leeb, Serafeim Perdikis

Objective: This study investigated the effect of multimodal (visual and auditory) continuous feedback with information about the uncertainty of the input signal on motor imagery based BCI performance. A liquid floating through a visualization of a funnel ( ...

Elsevier2016

Bidirectional Limb Neuro-Prosthesis

Silvestro Micera, Marco Capogrosso, Stanisa Raspopovic, Francesco Maria Petrini, Marco Bonizzato

Integrated closed-loop real-time limb neuro-prosthetic system comprising an artificial limb, a microprocessor, sensors, a signal conditioner, a stimulator, at least one EMG electrode and at least one sensory feedback electrode, characterized by the fact th ...

2016

Muscle synergies and spinal maps are sensitive to the asymmetry induced by a unilateral stroke

Silvestro Micera, Martina Coscia

Background: Previous studies have shown that a cerebrovascular accident disrupts the coordinated control of leg muscles during locomotion inducing asymmetric gait patterns. However, the ability of muscle synergies and spinal maps to reflect the redistribut ...

BioMed Central2015