International Parkinson and Movement Disorder Society’s Post

https://lnkd.in/eNgxbtdb "Bioengineers at UCLA are developing an AI-powered wearable that could allow people with vocal cord problems to talk. “This new device presents a wearable, non-invasive option capable of assisting patients in communicating during the period before treatment and during the post-treatment recovery period for voice disorders,” #WearableAI #AI #ArtificialIntelligence

#LieToMe: How Wearable Tech Could Become Your Personal Lie Detector In an age where technology constantly transforms how we communicate, imagine a world where your AirPods could not only help you listen to music or take calls but also help you detect deception in real-time. The idea of using wearable tech to analyze voice and speech patterns for signs of dishonesty could reshape how we navigate personal relationships, business dealings, and even healthcare interactions. While this concept might seem like something out of a science fiction movie, recent advances in machine learning and audio analysis bring us closer to this possibility. The Science Behind Deception Detection Deception is often accompanied by subtle changes in speech and vocal delivery. When we lie, our voices can change in pitch, pacing, or emotional tone. Using Apple AirPods as the data collection device, these changes could be captured and analyzed by sophisticated machine learning algorithms designed to detect these deviations from normal speech patterns. The proposed study would train the system by having participants engage in both truthful and deceptive conversations, while AirPods record and analyze their vocal characteristics. Over time, these algorithms would become more refined, learning to detect patterns that suggest dishonesty with increasing accuracy. Shaping the Future of Human Connection If further research and development prove successful, this technology could drastically impact how we communicate and connect with one another in the future. Here are a few potential applications: 1. Healthcare: Imagine doctors using deception detection during patient consultations. Patients might not always be forthcoming about their symptoms or lifestyle habits, either out of fear or embarrassment. Deception detection could alert healthcare providers to ask follow-up questions or probe further, leading to more accurate diagnoses and better care. 2. Business: In professional settings like negotiations or interviews, the stakes can be high. Deception detection through AirPods could give professionals an edge by identifying when someone might not be entirely honest, leading to more informed decision-making. It could foster an environment of accountability, pushing people toward transparency. 3. Personal Relationships: In personal conversations, whether with family or friends, deception detection could change the dynamic of trust. While this might raise concerns about privacy, it could also help facilitate more open and honest communication. Real-time detection could allow people to resolve misunderstandings or mistrust in a healthier, more direct way. 4. Education and Security: Beyond personal relationships, educators or security professionals might benefit from detecting dishonesty in academic settings or during security interviews. This would enhance fairness in evaluations and improve security outcomes by highlighting discrepancies in responses.

💡 Another success story of the use of wearable tech in clinical trials: A novel study published in Nature Medicine by the University of Birmingham’s cardAIc group has shown that over-the-counter wearable trackers provide clinically useful data for heart disease patients! Using wearables consisting of a wristband and a smartphone, researchers monitored the response of 160 patients (aged 60+) to medication over 20 weeks. The study analyzed over 140 million datapoints using AI. The findings? The wearables were as effective as traditional hospital assessments, showing that the assessed drugs had similar impacts on heart rate. This innovation not only saves time and resources but also enhances routine patient care. Full article: https://lnkd.in/d-V2YS65 #HealthcareInnovation #WearableTech #ClinicalTrials #AI #HealthTech

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.

Low-cost, wearable sensors could increase access to care for patients with Parkinson's disease. New machine-learning approaches and a... #contingentworkforce #felxableworkforce #freelance #jobseeker #recruiting #talentpools #temporaryworkforce

Interesting research on how wearable teach can better read human emotions, offering a new platform for applied behavioral sciences https://lnkd.in/e9EWGwzH #behavioralscience #behavioraldesign #emotionaldesign

New Post: The Future of Wearable Tech: Smaller, Smarter, and More Comfortable with 3D-Circuits - https://lnkd.in/ebBjMZ3j The world of medical technology is constantly changing, and innovation is key. Wearable devices have become game-changers, allowing for continuous health monitoring and real-time data for both patients and doctors.…

New Post: The Future of Wearable Tech: Smaller, Smarter, and More Comfortable with 3D-Circuits - https://lnkd.in/ebBjMZ3j The world of medical technology is constantly changing, and innovation is key. Wearable devices have become game-changers, allowing for continuous health monitoring and real-time data for both patients and doctors.…

"Wearable Medical Devices: The Next Frontier in Health Monitoring" Wearable medical devices represent a significant advancement in the field of health monitoring, offering innovative solutions that integrate technology into daily healthcare practices. Defined as electronic devices that can be worn on the body..... Find out more on: https://lnkd.in/dTjE8nzr #StudyTime #SmartLearning #QuickLearn #DailyLearning #LearnEveryday #LearningMadeEasy #StudyShorts #EduShorts #LearnWithMe #LearningIsFun #BrainTeasers #OnlineClasses #OnlineLearning #Tech #Technology #TechReview #Gadgets #TechNews #TechTips #TechTalk #TechTrends #TechVideos #Innovation #TechCommunity #TechLife #FutureTech #TechReviews #GadgetReview #ai #deeplearning

Lately, the need for objective measurement to assess Parkinson's disease symptoms and treatment efficacy has emerged. Clinical assessment will continue to be essential in the diagnosis and treatment of the disease, but also modern technology, including wearable devices and artificial intelligence, will play a crucial role in the early detection of the disease and improving treatment effectiveness. #wearabletechnology #ai #parkinsonsdisease #revolutionizingparkinsonscare