Lucas Struber

ORCID: 0000-0002-3890-9100
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About
Contact & Profiles
Research Areas
  • EEG and Brain-Computer Interfaces
  • Scoliosis diagnosis and treatment
  • Balance, Gait, and Falls Prevention
  • Motor Control and Adaptation
  • Spinal Fractures and Fixation Techniques
  • Musculoskeletal pain and rehabilitation
  • Muscle activation and electromyography studies
  • Neural dynamics and brain function
  • Connective tissue disorders research
  • Stroke Rehabilitation and Recovery
  • Neuroscience and Neural Engineering
  • Blind Source Separation Techniques
  • Visual perception and processing mechanisms
  • Inertial Sensor and Navigation
  • Gaze Tracking and Assistive Technology
  • Neural Networks and Applications
  • Neural and Behavioral Psychology Studies
  • Context-Aware Activity Recognition Systems
  • Functional Brain Connectivity Studies
  • Spinal Cord Injury Research
  • Children's Physical and Motor Development
  • Medical Imaging and Analysis
  • Diabetic Foot Ulcer Assessment and Management
  • Cognitive Computing and Networks
  • Gait Recognition and Analysis

CEA LETI
2023-2025

Clinatec
2023-2025

CEA Grenoble
2023-2025

Commissariat à l'Énergie Atomique et aux Énergies Alternatives
2023-2025

Université Grenoble Alpes
2015-2025

CEA Cadarache
2024

Institut polytechnique de Grenoble
2020-2022

Centre Hospitalier Universitaire de Grenoble
2018-2022

Centre National de la Recherche Scientifique
2016-2022

VetAgro Sup
2022

A spinal cord injury interrupts the communication between brain and region of that produces walking, leading to paralysis1,2. Here, we restored this with a digital bridge enabled an individual chronic tetraplegia stand walk naturally in community settings. This brain-spine interface (BSI) consists fully implanted recording stimulation systems establish direct link cortical signals3 analogue modulation epidural electrical targeting regions involved production walking4-6. highly reliable BSI...

10.1038/s41586-023-06094-5 article EN cc-by Nature 2023-05-24

Abstract 

Objective. Assistive robots can be developed to restore or provide more autonomy for individuals with motor impairments. In particular, power wheelchairs compensate lower-limb impairments, while robotic manipulators upper-limbs 
Recent studies have shown that Brain-Computer Interfaces (BCI) used operate this type of devices.
However, activities daily living and long-term use in real-life contexts such as home require robustness adaptability complex,...

10.1088/1741-2552/adae36 article EN cc-by Journal of Neural Engineering 2025-01-24

Introduction Phase-amplitude coupling (PAC), the modulation of high-frequency neural oscillations by phase slower oscillations, is increasingly recognized as a marker goal-directed motor behavior. Despite this interest, its specific role and potential value in decoding attempted movements remain unclear. Methods This study investigates whether PAC-derived features can be leveraged to classify different behaviors from ECoG signals within Brain-Computer Interface (BCI) systems. data were...

10.3389/fnhum.2025.1521491 article EN cc-by Frontiers in Human Neuroscience 2025-03-12

Sensorimotor adaptation involves the recalibration of mapping between motor command and sensory feedback in response to movement errors. Although operates within individual movements on a trial-to-trial basis, it can also undergo learning when adaptive responses improve over course many trials. Brain oscillatory activities related these "adaptation" "learning" processes remain unclear. The main reason for this is that previous studies principally focused beta band, which confined outcome...

10.1016/j.neuroimage.2021.118645 article EN cc-by NeuroImage 2021-10-22

Analysis of kinematic and postural data adolescent idiopathic scoliosis (AIS) patients seems relevant for a better understanding biomechanical aspects involved in AIS its etiopathogenesis. The present project aimed at investigating differences asymmetries early static task uniplanar trunk movements (rotations, lateral bending, forward bending). Trunk kinematics posture were assessed using 3D motion analysis system force plate. A total fifteen healthy girls, girls with left lumbar main curve,...

10.3390/children9050738 article EN cc-by Children 2022-05-18

Rehabilitation and training is generally performed under control of a specialist. However the possibility to self-train motion as effectively it would be done with an expert has clearly many advantages. One can indeed choose time, duration place his training. This paper presents development software based on real-time data collecting from IMUs (Inertial Measurement Units) for human self-training. By choosing adequate location IMUs, parameters (anatomic angles) movement control, system will...

10.1109/icvr.2015.7358578 preprint EN 2015-06-01

In the last years, use of inertial sensors has increased due to their time efficiency and portability. This paper introduces a low-cost system for gait running analysis embedded on tights, S-Move, designed with an open-source orientation estimation algorithm. Calibration misalignment correction procedure are presented, as well methods algorithms that automatically assess mean stride kinematics spatiotemporal parameters. The main objective this study was validate S-Move reliability through...

10.1109/jsen.2021.3071854 article EN IEEE Sensors Journal 2021-04-09

Savings refers to faster relearning upon re-exposure a previously experienced movement perturbation. One theory suggests that the brain recognizes past errors and is therefore more able learn from them. If true, there should be modification of neural response during To test this idea, we imaged brains participants who underwent two sessions (1 day apart) adaptation visuomotor perturbation investigated responses errors. The magnitude error was entered into different types GLMs study...

10.1101/2024.09.13.610754 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2024-09-14

Speech Brain-Computer Interfaces rely on decoding algorithms that transform neural activity into speech. A current challenge is to achieve intelligible speech synthesis in real time from continuous ongoing brain activity, ideally without the need of language models prevent free-speech production. As a first step toward this goal, we introduce here an encoder-decoder architecture, which data encoded latent space using multi-layer vision transformer (ViT), and then these variables are...

10.1109/embc53108.2024.10781877 article EN 2024-07-15

Abstract Analysis of kinematic and postural data adolescent idiopathic scoliosis (AIS) patients seems relevant for a better understanding biomechanical aspects involved in AIS its etiopathogenesis. The present project aimed at investigating differences asymmetries early static task uniplanar trunk movements (rotations, lateral bending forward bending). Trunk kinematics posture were assessed using 3D motion analysis system force plate. Fifteen healthy girls, fifteen girls with left lumbar...

10.1101/2021.06.09.21258605 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2021-06-12
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