Use the labels in the right column to find what you want. Or you can go thru them one by one, there are only 31,822 posts. Searching is done in the search box in upper left corner. I blog on anything to do with stroke. DO NOT DO ANYTHING SUGGESTED HERE AS I AM NOT MEDICALLY TRAINED, YOUR DOCTOR IS, LISTEN TO THEM. BUT I BET THEY DON'T KNOW HOW TO GET YOU 100% RECOVERED. I DON'T EITHER BUT HAVE PLENTY OF QUESTIONS FOR YOUR DOCTOR TO ANSWER.
Changing stroke rehab and research worldwide now.Time is Brain!trillions and trillions of neuronsthatDIEeach day because there areNOeffective hyperacute therapies besides tPA(only 12% effective). I have 523 posts on hyperacute therapy, enough for researchers to spend decades proving them out. These are my personal ideas and blog on stroke rehabilitation and stroke research. Do not attempt any of these without checking with your medical provider. Unless you join me in agitating, when you need these therapies they won't be there.
What this blog is for:
My blog is not to help survivors recover, it is to have the 10 million yearly stroke survivors light fires underneath their doctors, stroke hospitals and stroke researchers to get stroke solved. 100% recovery. The stroke medical world is completely failing at that goal, they don't even have it as a goal. Shortly after getting out of the hospital and getting NO information on the process or protocols of stroke rehabilitation and recovery I started searching on the internet and found that no other survivor received useful information. This is an attempt to cover all stroke rehabilitation information that should be readily available to survivors so they can talk with informed knowledge to their medical staff. It lays out what needs to be done to get stroke survivors closer to 100% recovery. It's quite disgusting that this information is not available from every stroke association and doctors group.
Sunday, August 24, 2025
A Wideband Multimodal Flexible Sensor Integrating Vertical Graphene and Sea Urchin-Like Nanoparticles for Post-Stroke Rehabilitation
Do you really think your competent? doctor has enough functioning brain cells to get this into your stroke hospital?
Do
you prefer your doctor and hospital incompetence NOT KNOWING? OR NOT
DOING?
Geng Zhong Qingzhou Liu, Yunjun Huang, Haoyang Geng, Tailin Xu, First published: 21 August 2025 https://doi.org/10.1002/adma.202508206
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-MnO2-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.
Graphical Abstract
This work presents a speech reconstruction framework based on a dual-sensor system that collects wideband signals from vocal vibrations and throat muscle movements. An encoder-cycle-consistent generative adversarial networks (CycleGAN) model maps the signals to speech without requiring a large-scale paired training dataset. The system achieves over 95% intent recognition accuracy and generates natural-sounding speech with a mean opinion score of 2.9.
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