Publication

Fabrication of a planar Dielectric Elastomer Actuator and Characterization of its self-discharge rate

Publications associées (32)

Immersive VR for upper-extremity rehabilitation in patients with neurological disorders: a scoping review

Background Neurological disorders, such as stroke and chronic pain syndromes, profoundly impact independence and quality of life, especially when affecting upper extremity (UE) function. While conventional physical therapy has shown effectiveness in provid ...

BMC2024

Real-time actuation of a dielectric elastomer actuator neuroprosthesis for facial paralysis

Yves Perriard, Yoan René Cyrille Civet, Thomas Guillaume Martinez, Stefania Maria Aliki Konstantinidi, Armando Matthieu Walter, Amine Benouhiba

Facial paralysis is a highly burdening condition, resulting in a patient's inability to move his mimic musculature on one or both sides of his face. This condition compromises the patient's communication and facial expressions, and thus dramatically reduce ...

2023

Design and Development of a Humanoid Facial Robot Setup

Facial paralysis can occur from different conditions, the most common ones being Bell’s palsy and stroke. Bell’s palsy can result from different virus infections including herpesviruses, adenovirus, influenza B, etc. It affects close to 1.6million people p ...

2023

Single-fraction radiosurgery outcomes for large vestibular schwannomas in the upfront or post-surgical setting: a systematic review and International Stereotactic Radiosurgery Society (ISRS) Practice Guidelines

Constantin Tuleasca

PurposeTo perform a systematic review of literature specific to single-fraction stereotactic radiosurgery (SRS) for large vestibular schwannomas (VS), maximum diameter >= 2.5 cm and/or classified as Koos Grade IV, and to present consensus recommendations o ...

New York2023

3D Printed Motor-Sensory Module Prototype for Facial Rehabilitation

Jamie Paik, Amir Firouzeh

This work demonstrates the first 3D printed wearable motor-sensory module prototype designed for facial rehabilitation, focusing on facial paralysis. The novelty of the work lies in the fast fabrication of the first fully soft working prototype, including ...

MARY ANN LIEBERT, INC2021

Repeat stereotactic radiosurgery for progressive vestibular schwannomas after previous radiosurgery: a systematic review and meta-analysis

Constantin Tuleasca

Vestibular schwannomas (VS) are slow-growing intracranial extraaxial benign tumors, developing from the vestibular part of the eight cranial nerves. Stereotactic radiosurgery (SRS) has now a long-term scientific track record as first intention treatment fo ...

SPRINGER2021

Development of a peripheral neuroprosthesis to elicit fine hand movements in primates

Marion Aimée Geneviève Badi-Dubois

Neurological disorders such as spinal cord lesion and stroke disturb sensorimotor pathways and result in severe motor deficits that can dreadfully impact the quality of life of affected individuals. Strategies aiming at restoring hand function after upper- ...

EPFL2021

Designing Gamified Activities with Haptic-Enabled Tangible Robots for Therapy and Assistance

Arzu Güneysu Özgür

In this thesis, we contribute to the field of rehabilitation robotics by designing haptic-enabledtangible robot-based activities and exploring their added value for therapy and assistance.The research specifically focuses on the design and development of g ...

EPFL2021

A modular strategy for next-generation upper-limb sensory-motor neuroprostheses

Silvestro Micera, Solaiman Shokur, Giuseppe Schiavone

Neuroprosthetics is a discipline that aims at restoring lost functions to people affected by a variety of neurological disorders or neuro-traumatic lesions. It combines the expertise of computer science and electrical, mechanical, and micro/nanotechnology ...

ELSEVIER2021

Unsupervised Domain Adaptation for Cross-Subject Few-Shot Neurological Symptom Detection

Mahsa Shoaran, Bingzhao Zhu

Modern machine learning tools have shown promise in detecting symptoms of neurological disorders. However, current approaches typically train a unique classifier for each subject. This subject-specific training scheme requires long labeled recordings from ...

IEEE2021

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