𝗥𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝗶𝘇𝗶𝗻𝗴 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻: 𝗨𝗖𝗟𝗔 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀 𝗗𝗲𝘃𝗲𝗹𝗼𝗽 𝗔𝗜-𝗔𝘀𝘀𝗶𝘀𝘁𝗲𝗱 𝗪𝗲𝗮𝗿𝗮𝗯𝗹𝗲 𝗦𝗽𝗲𝗲𝗰𝗵 𝗗𝗲𝘃𝗶𝗰𝗲 In a groundbreaking advancement, bioengineers at UCLA have developed a transformative wearable device designed to aid individuals with vocal cord dysfunctions in regaining their ability to speak. This thin, flexible patch, which adheres to the neck, captures muscle movements of the larynx and translates them into audible speech using advanced machine learning algorithms. 𝙄𝙣𝙣𝙤𝙫𝙖𝙩𝙞𝙫𝙚 𝘿𝙚𝙨𝙞𝙜𝙣 𝙛𝙤𝙧 𝙀𝙣𝙝𝙖𝙣𝙘𝙚𝙙 𝙎𝙥𝙚𝙚𝙘𝙝 𝙍𝙚𝙘𝙤𝙫𝙚𝙧𝙮 The device, measuring just over 1 square inch, integrates a self-powered sensing component that detects and converts muscle movements into electrical signals. These are then translated into speech signals through a sophisticated machine-learning algorithm, achieving an impressive 94.68% accuracy in preliminary tests. 𝘿𝙪𝙖𝙡-𝘾𝙤𝙢𝙥𝙤𝙣𝙚𝙣𝙩 𝙁𝙡𝙚𝙭𝙞𝙗𝙞𝙡𝙞𝙩𝙮 The wearable technology comprises two main layers: a biocompatible silicone compound known as polydimethylsiloxane (PDMS) and a magnetic induction layer featuring copper coils. This design not only ensures flexibility and comfort but also enhances the device's capability to accurately capture and process the subtle movements associated with speech. 𝙉𝙤𝙣-𝙄𝙣𝙫𝙖𝙨𝙞𝙫𝙚 𝙎𝙤𝙡𝙪𝙩𝙞𝙤𝙣 𝙬𝙞𝙩𝙝 𝘽𝙧𝙤𝙖𝙙 𝘼𝙥𝙥𝙡𝙞𝙘𝙖𝙩𝙞𝙤𝙣𝙨 Unlike traditional methods that might require surgery or other invasive procedures, this device offers a non-invasive alternative that could revolutionize treatment approaches for voice disorders. It provides a viable communication aid during pre-treatment and recovery phases, potentially reducing the recovery time and improving the quality of life for affected individuals. 𝙁𝙪𝙩𝙪𝙧𝙚 𝙀𝙣𝙝𝙖𝙣𝙘𝙚𝙢𝙚𝙣𝙩𝙨 𝙖𝙣𝙙 𝙍𝙚𝙨𝙚𝙖𝙧𝙘𝙝 The UCLA team, led by Jun Chen, plans to expand the device's vocabulary and refine its accuracy through continued machine learning developments. Future studies will aim to include individuals with actual speech disorders to further validate and enhance the device's functionality.
Optimized AI Conference’s Post
More Relevant Posts
-
Exciting developments in wearable technology and AI are reshaping the future of healthcare, offering personalized insights and enhancing patient care. Cutting-edge research at Cedars-Sinai is exploring innovative wearable health technologies capable of tracking vital signs and quantifying reflex responses for more accurate diagnoses. The integration of AI enables the interpretation of vast amounts of data collected by these devices, facilitating personalized medicine and informed decision-making. These advancements hold great promise for improving patient outcomes and streamlining healthcare delivery. Looking ahead, the widespread adoption of AI in healthcare processes and the incorporation of wearable technologies into routine medical assessments seem inevitable. How do you envision these advancements transforming healthcare delivery and patient care in the years to come? #healthtech #AI #futureofhealth
To view or add a comment, sign in
-
🔥Thaumatec HealthTech Industry Update🔥Welcome to our weekly update, where share news and updates from the HealthTech Industry 😎 This time: Stretchable microelectronics for wearables and implants 😎 Small wearable or implantable electronic components could help monitor our health, diagnose diseases and create opportunities for improved autonomous treatments. Stanford researchers have developed such soft integrated circuits. To do this, the components must: ⚕ Bend and stretch with the fabric ⚕ Be soft not to scratch the tissue ⚕ Get new design and manufacturing process for skin-like integrated circuits ⚕ Be small enough and fast enough for many applications ⚕ follow many more other aspects This could lead to next-generation brain-machine interfaces that are both powerful and biocompatible. To get some more insight into the topic have a look at or Knowledge Database: https://lnkd.in/d9j7Xfmb
Thaumatec Industry Update | Advances in Stretchable microelectronics for wearables and implants
https://thaumatec.com
To view or add a comment, sign in
-
Imagine speaking without vocal cords! With an AI-assisted wearable device developed by UCLA, individuals with dysfunctional vocal cords can regain their voice function. This adhesive neck patch, measuring just over 1 square inch, translates the larynx muscle movements into audible speech. Incredible, isn't it? Key Takeaways? 🔹 Thin, flexible device adheres to the neck, translating muscle movements into speech. 🔹 Trained through machine learning to recognize muscle movements corresponding to words. 🔹 Self-powered technology offers a non-invasive solution for those with voice disorders. Voice disorders affect many, and traditional solutions are often inconvenient or invasive. However, this new wearable device allows individuals to communicate comfortably during treatment and recovery periods. Will this change healthcare? What's your take? Albert Negron Curtis W. Kim Rodriguez James Corbett King Nelson #Bioengineering #AssistiveTechnology #Innovation #Accessibility #UCLAEngineering #AI #MachineLearning #DisabilityInclusion
To view or add a comment, sign in
-
NIRS fNIRS With the advent of portable and wearable solutions, in addition to its intrinsic performance in the presence of movements, fNIRS is currently the ideal solution for studies that intend to evaluate cortical actitiy within naturalistic environments. fNIRS adds another dimension to studies investigating cognitive functions and mental states, since it is a portable technique not too sensitive to motion artifacts. Attention processes, inhibition mechanisms, and working memory, as well as other cognitive states, may be studied in natural environments with a fast setup preparation. Motor execution and fine movements depend on coordinated action of brain function and peripheral muscles. Its portability, ease of use in natural environments, and compatibility with bioelectric measures make fNIRS an optimal choice for studies investigating motor execution. Near-infrared spectroscopy is non-invasive and particularly well suited for evaluating activity in the prefrontal cortex, one of the regions involved in emotional processing. More specific areas related to emotional processing, such as the frontopolar cortex, are easily accessible for measurements by NIRS, making the technique particularly suited to explore the emotional domain. The ability of fNIRS to measure two or more subjects simultaneously, enables researchers to study cortical activity in response to social interaction. This way, a new dimension is added to studies investigating topics such as empathy, competitive and cooperative tasks, mother-child interactions and truth telling. Realistic experiments involve verbalized speech. As such, they should account for the muscle movements that are required for this process, and the eventual artifacts that these may cause. The robustness of fNIRS in the presence of muscle movements as well as its portability in comparison to other imaging techniques, render this technology a very promising tool for studying speech and language under a great variety of conditions. Connectivity Neuroscience 2024 NIRS Publication Connectivity fNIRS brings connectivity studies to a new level. The hyperscanning modality enables both online feedback as well as offline analysis regarding within- and between-subjects connectivity. In addition to that, fNIRS fast sampling rate for hemodynamic states allows for a quick update rate of connectivity feedback, resulting into enhanced subject engagement.
Brain Support
brainsupport.co
To view or add a comment, sign in
-
SDBN Feed: Wearable Ultrasound Tech for Muscle Monitoring Opens New Possibilities in Healthcare and Human-machine Interfaces https://lnkd.in/g23NcX3c Researchers have developed a compact, wearable ultrasound device that monitors muscle activity. Attachable to the skin with an adhesive and powered by a small battery, the device wirelessly captures high-resolution images of muscle movements, enabling [...]
Wearable Ultrasound Tech for Muscle Monitoring Opens New Possibilities in Healthcare and Human-machine Interfaces
https://sdbn.org
To view or add a comment, sign in
-
Wearable Cyborg Augmentation Modules for Algorithmic Character Pairings Here are some wearable cyborg augmentation modules designed for the provided algorithmic character pairings, focusing on enhancing their existing abilities: Pairing 1: Shadow-Thief vs. Robo-Mongul Shadow-Thief (Shaggy-Man): Augmentation: Cloaking field generator integrated into suit - enhances stealth and invisibility capabilities. Material: Vantablack nano-fibers woven into clothing - maximizes light absorption for superior cloaking. Robo-Mongul (Galactic Golem): Augmentation: Enhanced power core with integrated energy dampening field - increases strength and durability while disrupting Shadow-Thief's tech. Material: Adamantium-titanium alloy exoskeleton - provides unparalleled protection. Pairing 2: Gosssamer-Hyde vs. XPeng-Iron Gossamer-Hyde (Looney-Gekyl): Augmentation: Morphing exoskeleton - allows for rapid shape-shifting and enhanced physical capabilities based on desired form. Material: Programmable meta-materials - provide flexibility and adaptability for shape-shifting. XPeng-Iron (Target-Ironhead): Augmentation: AI-powered targeting system with integrated heat vision and nanite repair protocols - improves targeting accuracy and battlefield resilience. Material: Graphene-composite armor - lightweight yet incredibly strong and heat resistant. Pairing 3: Cephalo-Dolphin vs. CRISPR-Bowser Cephalo-Dolphin (Species-Splice): Augmentation: Advanced bio-sonar and communication implants - enhances underwater awareness and telepathic communication with other marine life. Material: Biocompatible synthetic skin with integrated pressure regulation - allows for seamless transition between land and water environments. CRISPR-Bowser (Weyland-Pfizer): Augmentation: Genetically engineered mutation suppressors - prevents uncontrolled transformations and grants enhanced control over reptilian abilities. Material: Self-repairing, fire-resistant scales - improves durability and resistance to Bowser's own fire breath. Pairing 4: Composite-Superman vs. T-1000-Cherub Composite-Superman (Gleep-Gloop, Ookla-Megachelon): Augmentation: Multi-environment adaptation modules - allows for seamless adaptation to extreme temperatures and pressures. Material: Programmable meta-alloys - provide shape-shifting capabilities for enhanced defense and offense. Themesong: {https://lnkd.in/g9VfW-EU
To view or add a comment, sign in
-
🌟 Unlocking the Secrets of State Anxiety: A Groundbreaking Study on Wearable Technology 🌟 In a pioneering research effort, scientists have unveiled novel biomarkers for monitoring state anxiety through non-invasive wearable technology. This study, conducted by a team from the California Institute of Technology and Dartmouth Hitchcock Medical Center, leverages Electrooculography (EOG) and Electrodermal Activity (EDA) to provide real-time insights into physiological responses associated with anxiety. 🔍 Key Findings: - The research introduces two innovative datasets: 1. BLINKEO: A comprehensive EOG signal blink identification dataset. 2. EMOCOLD: Capturing physiological responses during the Cold Pressor Test (CPT). - By analyzing blink rate variability and skin conductance peaks, researchers identified multiple new anxiety-specific biomarkers that enhance our understanding of emotional states. - Utilizing advanced interpretability techniques like SHapley Additive exPlanations (SHAP), this study refines models to correlate physiological signals with state anxiety effectively. 💡 The results underscore the potential for wearables in personalized health monitoring and mental health interventions—transforming how we approach stress management in real-time! This work not only contributes to developing context-sensitive models for anxiety assessment but also paves the way for more effective applications of wearable technology in healthcare settings. 🌐 As we continue to explore these advancements, it becomes increasingly clear that integrating technology into mental health strategies can lead to significant improvements in well-being. #AI #Algorithms #AnxietyMonitoring #ArtificialIntelligence #CaltechResearch #DL #DS #DataScience #DeepLearning #EDA #EOG #HealthInnovation #ML #MachineLearning #MentalHealth #Tech #Technology #WearableTechnology Source: https://lnkd.in/efQckG4M
To view or add a comment, sign in
-
Olfaction #feedback #systems could enhance human emotion, alertness, clinical therapy, and virtual environments. However, the reported olfaction feedback #technologies face challenges such as perceptible delay, unwieldy size, and limited odor options Liu and colleagues from City University of Hong Kong Beihang University and The University of Tokyo develop #AI-driven, #wearable #olfactory #interfaces with odor generators for realizing latency-free mixed-reality and fast olfaction recovery. This technology enables personalized olfactory feedback and enhanced #virtual #environments for various #applications including #education, and #clinical treatment. #wearable #electronics #AI Now out 👉 #naturecommunications Nature Portfolio https://lnkd.in/eZU_8vNv
Intelligent wearable olfactory interface for latency-free mixed reality and fast olfactory enhancement - Nature Communications
nature.com
To view or add a comment, sign in
-
At the beginning of a new branch of medical devices that we can call ingestible medical devices, the future of medicine may shift away from wearable technologies to devices that navigate inside our bodies. Engineers at the University of Southern California's Viterbi School of Engineering have developed groundbreaking GPS-like smart pills using AI. These ingestible sensors not only detect stomach gases but also provide real-time location tracking once swallowed. Led by the Khan Lab, these smart pills are designed to monitor gases linked to conditions like gastritis and gastric cancers. A newly designed wearable system enables accurate tracking of these capsules within the body, marking a significant advancement in ingestible technology. Yasser Khan, Assistant Professor of Electrical and Computer Engineering, envisions these devices as a potential "Fitbit for the gut," aiding in early disease detection. This innovation promises broader applications in health monitoring, including potential uses in monitoring brain health through the brain-gut axis. #SmartPills #AI #HealthTech #ingestables #medicine #futurism #medicaldevices #innovation
From wearables to swallowables: Engineers create GPS-like smart pills with AI
techxplore.com
To view or add a comment, sign in
-
🔄 In clinical trials, continuous device use tends to have higher adherence than intermittent use. Regularity helps participants to form a habit, which can lead to more consistent and reliable data collection. 🚨 The ability to monitor adherence in real-time or close to real-time can be key to minimizing instances of non-adherence and reducing missing data. This capability allows for immediate intervention and correction, ensuring the integrity of the study. 📈 These are just some of the lessons learned to optimize Digital Health Technology for remote data acquisition in clinical investigation. The ultimate goal is to solve any adherence issues as soon as they arise, ensuring the collection of reliable and accurate data. 🌐 In the evolving landscape of clinical research, decentralized or hybrid clinical trials are becoming more common. This makes the need for long battery life and passive data transfer in wearable devices even more important, as these features facilitate remote data collection. 🎯 Usability is at the heart of the FDA's new draft guidance on Digital Health Technologies. This emphasis highlights the importance of user-friendly and intuitive devices in clinical research, underscoring the need for participant-friendly design in wearable technologies. 📚 Ensuring participant adherence is a critical factor in the success of clinical trials involving wearable technologies. This is a fundamental aspect of conducting effective and reliable studies and a key consideration in the design and implementation of wearable technologies.
To view or add a comment, sign in
2,948 followers