Soft wearable throat patch could help people with voice disorders to speak

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Image by Sasin Tipchai from Pixabay
Image by Sasin Tipchai from Pixabay

A soft, wearable, non-invasive patch may help people with voice disorders to speak, according to international researchers, who developed a magnetoelastic patch that adheres to the throat and uses AI to translate muscle movements into words. The wearable patch changes shape as the throat muscles associated with speech move, which also generates its power, allowing for the device to be self-powered. The movements are converted into electrical signals and processed by an AI algorithm which translates them into speech signals. The authors demonstrated the use of this patch on eight participants without voice disorders who were asked to pronounce and whisper words and phrases, such as “Merry Christmas” or “I love you” while standing, walking, and running. They found that the device worked with an accuracy of about 95%.

Media release

From: Springer Nature

Technology: A new system to produce speech *IMAGE* 

A soft patch that can transform throat muscle movements into speech with the help of machine learning is described in Nature Communications. With further development, the device could potentially help some patients with voice disorders to communicate effectively, the authors suggest.

Speech is an important aspect of human interaction, but it can be challenging for individuals with dysfunctional vocal fold conditions. About 30% of individuals in the general population experience at least one voice disorder during their lifetime. Despite this, existing solutions — such as handheld electrolarynx devices or surgery — can be inconvenient, uncomfortable, or invasive. There is a need to develop a wearable, noninvasive medical device capable of assisting patients in communicating.

Jun Chen and colleagues designed a soft magnetoelastic patch to adhere to the throat that changes shape as the throat muscles associated with speech move, without the need for functioning vocal folds. The movement of the patch detects specific muscle movements and also generates power, allowing for the device to be self-powered. These movements are then converted into electrical signals and processed by a machine learning algorithm that is trained to recognize words and translate them into speech signals. The authors demonstrated the use of this patch on eight participants without voice disorders who were asked to pronounce and whisper words and phrases, such as “Merry Christmas” or “I love you”, while standing, walking, and running. They found that the device worked with an accuracy of about 95%.

After further testing in patients, the device may offer a practical solution for individuals with voice disorders and help to enhance their overall quality of life.

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Journal/
conference:
Nature Communications
Research:Paper
Organisation/s: University of California, USA
Funder: The authors acknowledge the Henry Samueli School of Engineering & Applied Science and the Department of Bioengineering at the University of California, Los Angeles, for the startup support. J.C. also acknowledges the Vernroy Makoto Watanabe Excellence in Research Award at the UCLA Samueli School of Engineering, the Office of Naval Research Young Investigator Award (Award ID: N00014-24-1-2065), NIH R01 (Award ID: R01 CA287326), the American Heart Association Innovative Project Award (Award ID: 23IPA1054908), the American Heart Association Transformational Project Award (Award ID: 23TPA1141360), the American Heart Association’s Second Century Early Faculty Independence Award (Award ID: 23SCEFIA1157587), the Brain & Behavior Research Foundation Young Investigator Grant (Grant No. 30944), and the NIH National Center for Advancing Translational Science UCLA CTSI (Grant No. KL2TR001882).
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