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Autores principales: Zhong, Geng, Liu, Qingzhou, Huang, Yunjun, Geng, Haoyang, Xu, Tailin
Formato: Artículo científico
Lenguaje:en
Publicado: Advanced materials (Deerfield Beach, Fla.) 2025
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Acceso en línea:https://pubmed.ncbi.nlm.nih.gov/40838529/
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author Zhong, Geng
Liu, Qingzhou
Huang, Yunjun
Geng, Haoyang
Xu, Tailin
author_facet Zhong, Geng
Liu, Qingzhou
Huang, Yunjun
Geng, Haoyang
Xu, Tailin
Zhong, Geng
Liu, Qingzhou
Huang, Yunjun
Geng, Haoyang
Xu, Tailin
collection PubMed - marine biology
contents A Wideband Multimodal Flexible Sensor Integrating Vertical Graphene and Sea Urchin-Like Nanoparticles for Post-Stroke Rehabilitation. Zhong, Geng Liu, Qingzhou Huang, Yunjun Geng, Haoyang Xu, Tailin Stroke Rehabilitation Graphite Humans Wearable Electronic Devices Nanoparticles Animals Sea Urchins Oxides Silver Manganese Compounds Dimethylpolysiloxanes Stroke Vibration Aphasia Stroke is a leading cause of long-term disability worldwide, with post-stroke aphasia significantly impairing communication and social interaction. Traditional rehabilitation devices are often bulky, expensive, and impractical for daily use, particularly in speech recovery, where accessible and effective solutions remain limited. To address this challenge, this study introduces a portable and wearable sensor system for stroke-induced aphasia rehabilitation. The proposed sensor integrates a flexible, ultrasensitive, and durable dual-sensor system comprising an Ag-MnO-based sea-urchin-like nanoparticle pressure sensor to detect high-frequency vocal vibrations and a vertical graphene/polydimethylsiloxane (VGr/PDMS) strain sensor to capture low-frequency muscular movements. The sensors, integrated into a flexible circuit, employ an encoder-cycle-consistent generative adversarial networks (CycleGAN) model that recognizes users' intent and recovers voice, significantly reducing dependency on large-scale labelled datasets. Experimental results demonstrate accurate intent recognition with accuracies for certain commands exceeding 95%. The reconstructed speech exhibits improved naturalness based on objective and perceptual evaluations, highlighting potential clinical utility in enhancing daily communication and interaction for stroke survivors.
format Artículo científico
id pubmed_40838529
institution PubMed
language en
publishDate 2025
publisher Advanced materials (Deerfield Beach, Fla.)
record_format pubmed
spellingShingle A Wideband Multimodal Flexible Sensor Integrating Vertical Graphene and Sea Urchin-Like Nanoparticles for Post-Stroke Rehabilitation.
Zhong, Geng
Liu, Qingzhou
Huang, Yunjun
Geng, Haoyang
Xu, Tailin
Stroke Rehabilitation
Graphite
Humans
Wearable Electronic Devices
Nanoparticles
Animals
Sea Urchins
Oxides
Silver
Manganese Compounds
Dimethylpolysiloxanes
Stroke
Vibration
Aphasia
A Wideband Multimodal Flexible Sensor Integrating Vertical Graphene and Sea Urchin-Like Nanoparticles for Post-Stroke Rehabilitation. Zhong, Geng Liu, Qingzhou Huang, Yunjun Geng, Haoyang Xu, Tailin Stroke Rehabilitation Graphite Humans Wearable Electronic Devices Nanoparticles Animals Sea Urchins Oxides Silver Manganese Compounds Dimethylpolysiloxanes Stroke Vibration Aphasia Stroke is a leading cause of long-term disability worldwide, with post-stroke aphasia significantly impairing communication and social interaction. Traditional rehabilitation devices are often bulky, expensive, and impractical for daily use, particularly in speech recovery, where accessible and effective solutions remain limited. To address this challenge, this study introduces a portable and wearable sensor system for stroke-induced aphasia rehabilitation. The proposed sensor integrates a flexible, ultrasensitive, and durable dual-sensor system comprising an Ag-MnO-based sea-urchin-like nanoparticle pressure sensor to detect high-frequency vocal vibrations and a vertical graphene/polydimethylsiloxane (VGr/PDMS) strain sensor to capture low-frequency muscular movements. The sensors, integrated into a flexible circuit, employ an encoder-cycle-consistent generative adversarial networks (CycleGAN) model that recognizes users' intent and recovers voice, significantly reducing dependency on large-scale labelled datasets. Experimental results demonstrate accurate intent recognition with accuracies for certain commands exceeding 95%. The reconstructed speech exhibits improved naturalness based on objective and perceptual evaluations, highlighting potential clinical utility in enhancing daily communication and interaction for stroke survivors.
title A Wideband Multimodal Flexible Sensor Integrating Vertical Graphene and Sea Urchin-Like Nanoparticles for Post-Stroke Rehabilitation.
topic Stroke Rehabilitation
Graphite
Humans
Wearable Electronic Devices
Nanoparticles
Animals
Sea Urchins
Oxides
Silver
Manganese Compounds
Dimethylpolysiloxanes
Stroke
Vibration
Aphasia
url https://pubmed.ncbi.nlm.nih.gov/40838529/