A5063406778- Neuroscience and Neural Engineering
- EEG and Brain-Computer Interfaces
- Stroke Rehabilitation and Recovery
- Advanced Memory and Neural Computing
- Prosthetics and Rehabilitation Robotics
- Neural dynamics and brain function
- Muscle activation and electromyography studies
- Neuroscience and Neuropharmacology Research
- Motor Control and Adaptation
- Musculoskeletal pain and rehabilitation
- Neurological disorders and treatments
- Photoreceptor and optogenetics research
- Piezoelectric Actuators and Control
- Medical Imaging and Analysis
- Multiple Sclerosis Research Studies
- Shoulder and Clavicle Injuries
- Robotic Mechanisms and Dynamics
- Real-Time Systems Scheduling
- Virtual Reality Applications and Impacts
- Spinal Cord Injury Research
- Industrial Vision Systems and Defect Detection
- Dielectric materials and actuators
- Real-time simulation and control systems
- Functional Brain Connectivity Studies
- Cerebral Palsy and Movement Disorders
Italian Institute of Technology
2016-2024
Istituto Nazionale per l'Assicurazione Contro gli Infortuni sul Lavoro
2019-2024
Center for Research and Advanced Studies of the National Polytechnic Institute
2024
University of Genoa
2018-2019
Highlights•We developed a novel real-time neuromorphic system acting as neuroprosthesis•The neuroprosthesis can bidirectionally reconnect two disconnected networks•The implements spiking neural network•The network successfully replace the activity of populationSummaryRecent advances in bioelectronics and engineering allowed development brain machine interfaces neuroprostheses, capable facilitating or recovering functionality people with neurological disability. To realize energy-efficient...
In the last decade, several exoskeletons for shoulder rehabilitation have been presented in literature. Most of these devices focus on complex and limit normal mobility rest body, forcing patient into a fixed standing or sitting position. Nevertheless, this severely limits range activities that can potentially be simulated during rehabilitation, preventing execution occupational therapy which involves tasks based daily living (ADLs). These involve different muscular groups whole-body...
Background: In recent years, biomedical devices have proven to be able target also different neurological disorders. Given the rapid ageing of population and increase invalidating diseases affecting central nervous system, there is a growing demand for immediate clinical use. However, reach useful therapeutic results, these tools need multidisciplinary approach continuous dialogue between neuroscience engineering, field that named neuroengineering. This because it fundamental understand how...
The robotics discipline is exploring precise and versatile solutions for upper-limb rehabilitation in Multiple Sclerosis (MS). People with MS can greatly benefit from robotic systems to help combat the complexities of this disease, which impair ability perform activities daily living (ADLs). In order present potential limitations smart mechatronic devices mentioned clinical domain, review structured propose a concise SWOT (Strengths, Weaknesses, Opportunities, Threats) Analysis MS. Through...
Robotic rehabilitation devices are showing strong potential for intensive, task-oriented, and personalized motor training. Integrating Mixed Reality (MR) technology tangible objects in these systems allow the creation of attractive, stimulating, hybrid environments. Using a gamification approach, MR-based robotic training can increase patients' motivation, engagement, experience. This paper presents development two Reality-based exergames to perform bimanual exercises assisted by shoulder...
As our understanding of volitional motor function increases, it is clear that complex movements are the result interactions multiple cortical regions rather than just output properties primary cortex. However, among these limited. In this study, we used activity-dependent stimulation (ADS) technique to determine short/long-term effects on network activity and neuroplasticity intracortical connections. ADS uses intrinsic neural one region trigger stimulations in a separate brain can...
Understanding the impact of gravity on daily upper-limb movements is crucial for comprehending impairments. This study investigates relationship between gravitational force and mobility by analyzing hand trajectories from 24 healthy subjects performing nine pick-and-place tasks, captured using a motion capture system. The results reveal significant differences in motor behavior terms planning, smoothness, efficiency, accuracy when are performed against or with gravity. Analysis showed that...
The use of robotic technologies in neurorehabilitation is growing, because they allow highly repeatable exercise protocols and patient-tailored therapies. However, there a lack objective methods for assessing these technologies, which makes it difficult to determine their value rehabilitation settings. While exist many outcome measurements motor assessment from clinical standpoint (such as the Fugl-Meyer scale), evaluation performance benefits technology still lacks standardized approach...
Abstract Recent advances in neurotechnology allow neurological impairments to be treated or reduced by brain machine interfaces and neuroprostheses. To develop energy-efficient real-time capable devices, neuromorphic computing systems are envisaged as the core of next-generation ‘neurobiohybrid’ for repair. We demonstrate here first exploitation a prosthesis restore bidirectional interactions between two neuronal populations, even when one is damaged completely missing. used vitro modular...
Robotic rehabilitation has demonstrated slight positive effects compared to traditional care, but there is still a lack of targeted high-level control strategies in the current state-of-the-art for minimizing pathological motor behaviors. In this study, we analyzed upper-limb motion capture data from healthy subjects performing pick-and-place task identify task-specific variability postural patterns. The results revealed consistent behaviors among subjects, presenting an opportunity develop...
When it comes to robotic-mediated rehabilitation is mandatory design a system that guarantees safe and compliant human-machine interaction. Dealing with rehabilitative upper limb exoskeletons, Series Elastic Actuators offer potential solution for this purpose. This work proposes four different solutions SEAs' spring design. After an analysis on the mechanical requirements, are explored presented. The performances of proposed highly integrated SEAs compared. An initial static characterization...
Activity-dependent stimulation (ADS) is designed to strengthen the connections between neuronal circuits and therefore may be a promising tool for promoting neurophysiological reorganization following brain injury. To successfully perform this technique, two criteria must met: (1) spikes in extracellular electrical field potential detected accurately at one site of interest, (2) pulses generated fixed (<1 ms jitter), low-latency (<10 ms) intervals relative each spike delivered reliably...
A pressing challenge in the design of actuated knee prostheses is ability to address high variation speed and torque requirements for different types phases locomotion. This manuscript presents a novel over-actuated prosthesis which makes use dual motor actuation architecture this issue. It utilizes speed/low enable natural highly dynamical motion, as required swing walking, permanently engaged. In addition motor, clutchable uni-directional low dynamics present assist during execution tasks...
In the last decade, robotic-mediated rehabilitation has emerged as a potential solution to improve repetitive task training. Each device in this field unique development history shaped by engineers’ expertise specific programming languages or platforms. work we adopt an approach that tries abstract from final implementation with aim make control logic more shareable and understandable. The authors will present outcomes of application Rapid Control Prototyping strategy upper-limb robotic...
In the last decade, robotic-mediated rehabilitation has emerged as a potential solution to improve repetitive task training. Each device in this field unique development history shaped by engineers’ expertise specific programming languages or platforms. work we adopt an approach that tries abstract from final implementation with aim make control logic more shareable and understandable. The authors will present outcomes of application Rapid Control Prototyping strategy upper-limb robotic...
<title>Abstract</title> Exoskeletons for rehabilitation have the potential to aid movement and promote intensive, task-oriented, personalized motor training. However, robotic-assisted training user experience could be further improve by including Mixed Reality Environments (MREs) using a gamification approach. This paper presents design evaluation of MR solution based on Microsoft Hololens 2 robot-assisted bilateral shoulder It is gamified MREs designed guide encourage synchronous...
Abstract Exoskeletons for rehabilitation have the potential to aid movement and promote intensive, task-oriented, personalized motor training. However, robotic-assisted training user experience could be further improve by including Mixed Reality Environments (MREs) using a gamification approach. This paper presents design evaluation of MR solution based on Microsoft Hololens 2 robot-assisted bilateral shoulder It is gamified MREs designed guide encourage synchronous asynchronous movements...