Publications related to Cyberware

The present and future of neural interfaces

The 2020's decade will likely witness an unprecedented development and deployment of neurotechnologies for human rehabilitation, personalized use, and cognitive or other enhancement. New materials and algorithms are already enabling active brain monitoring ...

FRONTIERS MEDIA SA2022

Soft materials and technologies for neural interfaces

Michael Shur

Implantable neural interfaces are an emerging concept which is revolutionizing various domains of medicine and rehabilitation. However, the long-term efficiency and reliability of these devices is often limited, mainly attributed to the fundamental differe ...

EPFL2021

First Biopotential Recordings from a Liquid Crystal Optrode

Emilie Cornelia Maria Revol, Han Wang

One of the goals of the Neural Engineering System Design (NESD) program in the United States and of similar programs around the world is to develop an interface able to read from one million neurons in parallel. This is well beyond the capabilities of trad ...

SPIE-INT SOC OPTICAL ENGINEERING2019

Electronic dura mater soft, multimodal neural interfaces : technology, integration and implementation to surface implants

Arthur Edouard Hirsch

Neuroprosthetic devices are engineered to study, support or replace impaired functions of the nervous system. The neural interface is an essential element of neuroprosthetic systems as it allows for transduction of signals and stimuli of desired functions ...

EPFL2018

Designing sensory feedback approaches for restoring touch and position feedback in upper limb amputees

Edoardo D'Anna

Upper limb amputation disrupts most daily activities and reduces the quality of life of affected individuals. Building a suitable prosthetic limb, which can restore at least some of the lost capabilities, is a goal which has been pursued for centuries. In ...

EPFL2018

Brain-actuated gait trainer with visual and proprioceptive feedback

José del Rocio Millán Ruiz, Mohamed Bouri, Kyuhwa Lee, Ricardo Andres Chavarriaga Lozano, Dong Liu

Objective. Brain-machine interfaces (BMIs) have been proposed in closed-loop applications for neuromodulation and neurorehabilitation. This study describes the impact of different feedback modalities on the performance of an EEG-based BMI that decodes moto ...

Institute of Physics2017

EXiO-A Brain-Controlled Lower Limb Exoskeleton for Rhesus Macaques

Hannes Bleuler, Mohamed Bouri, Jeremy Olivier, Miguel Nicolelis, Tristan Hubert Vouga

Recent advances in the field of brain-machine interfaces (BMIs) have demonstrated enormous potential to shape the future of rehabilitation and prosthetic devices. Here, a lower-limb exoskeleton controlled by the intracortical activity of an awake behaving ...

Ieee-Inst Electrical Electronics Engineers Inc2017

Classification of upper limb center-out reaching tasks by means of EEG-based continuous decoding techniques

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano

Background: One of the current challenges in brain-machine interfacing is to characterize and decode upper limb kinematics from brain signals, e.g. to control a prosthetic device. Recent research work states that it is possible to do so based on low freque ...

BioMed Central2017

Brain-Controlled Devices: The Perception-Action Closed Loop

José del Rocio Millán Ruiz

Future neuroprosthetics will be tightly coupled with the user in such a way that the resulting system can replace and restore impaired upper limb functions because controlled by the same neural signals than their natural counterparts. However, robust and n ...

Ieee2016

Brain-Machine Interfaces: The Perception-Action Closed Loop

José del Rocio Millán Ruiz

A brain-machine interface (BMI) is about transforming neural activity into action and sensation into perception (Figure 1). In a BMI system, neural signals recorded from the brain are fed into a decoding algorithm that translates these signals into motor o ...

2015

Local field potentials in primate motor cortex encode grasp kinetic parameters

Tomislav Milekovic

Reach and grasp kinematics are known to be encoded in the spiking activity of neuronal ensembles and in local field potentials (LFPs) recorded from primate motor cortex during movement planning and execution. However, little is known, especially in LFPs, a ...

Elsevier2015

Teaching brain-machine interfaces as an alternative paradigm to neuroprosthetics control

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Inaki Asier Iturrate Gil

Brain-machine interfaces (BMI) usually decode movement parameters from cortical activity to control neuroprostheses. This requires subjects to learn to modulate their brain activity to convey all necessary information, thus imposing natural limits on the c ...

Nature Publishing Group2015

Towards non-invasive hybrid brain-computer interfaces: Framework, practice, clinical application and beyond

José del Rocio Millán Ruiz, Robert Leeb

In their early days, BCIs were only considered as control channel for end users with severe motor impairments such as people in the locked-in state. But, thanks to the multidisciplinary progress achieved over the last decade, the range of BCI applications ...

Ieee-Inst Electrical Electronics Engineers Inc2015

Wireless Power Transfer and Data Communication for Intracranial Neural Implants Case Study : Epilepsy Monitoring

Gürkan Yilmaz

Recording neural activities plays an important role in numerous applications ranging from brain mapping to implementation of brain-machine interfaces (BMI) to recover lost functions or to understand the mechanisms behind the neurological disorders such as ...

EPFL2014

Virtual reality based Brain-Machine-Interface for Sensori-Motor and Social experiments with Primates

Solaiman Shokur

As a result of improved understanding of brain mechanisms as well as unprecedented technical advancement in neural recording methods and computer technology, it is now possible to translate large-scale brain signals into movement intentions in real time. S ...

EPFL2013

Remotely Powered Wireless Cortical Implants for Brain-Machine Interfaces

Kanber Mithat Silay

Brain-machine interfaces hold promise for restoring basic functions such as movement or speech for severely disabled patients, as well as for controlling neuroprosthetic devices for amputees. One of the major challenges of clinically viable neuroprostheses ...

EPFL2012

Cortical Current Density vs. Surface EEG for Event-Related Potential-based Brain-Computer Interface

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Mohit Kumar Goel

In this paper we use the cortical current density based inverse solution to classify Event Related Potential, in particular for error-related potential elicited during Brain-Computer Interface experiment. We selected discriminant cortical sources for compa ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011