KAUST Smart-Health Initiative’s Post

📱 Wearable Medical Devices: Revolutionizing Health Monitoring! 📱 From smartwatches that track your heart rate to wearable glucose monitors for diabetes management, wearable medical devices are reshaping how we monitor and manage our health. These innovative devices provide real-time data, empowering patients and healthcare professionals with critical insights 💡 Why Wearable Medical Devices? Continuous, real-time health tracking Improved chronic disease management Early detection of health issues Enhanced remote patient monitoring 🌟 Join us in exploring the future of personalized healthcare through wearable technology! 👉 Follow our page for the latest updates in medical technology and innovations. #WearableMedicalDevices #HealthcareInnovation #HealthMonitoring #DigitalHealth #RemoteMonitoring #PatientCare #FutureOfMedicine #SmartHealth #Biotech #MedicalTechnology

🌟Transforming Healthcare with Wearable Medical Devices🌟 Wearable medical devices are transforming healthcare by providing continuous, real-time monitoring of vital signs, enhancing disease management, and empowering patients to manage their own health. From smartwatches that monitor heart rates to sophisticated glucose monitors for diabetes, these technologies are making personalized healthcare more attainable. As technology advances, wearable medical devices are increasingly vital for the future of tailored, data-driven healthcare. Keep informed about the latest innovations in wearable technology by following our page! #Wearable Tech #Medical Devices #HealthcareInnovation #Remote Monitoring #DigitalHealth #PatientCare #ChronicDisease Management #SmartHealth #Biotech #FutureOfHealthcare

⌚ Transforming Healthcare with Wearable Medical Devices ⌚ Wearable medical devices are revolutionizing healthcare by enabling continuous, real-time monitoring of vital signs, improving disease management, and empowering patients to take control of their health. From smartwatches tracking heart rates to advanced glucose monitors for diabetes management, these devices are making personalized healthcare a reality As technology continues to evolve, wearable medical devices are playing a crucial role in the future of personalized, data-driven healthcare. 👉 Stay updated on the innovations in wearable tech by following our page! #WearableTech #MedicalDevices #HealthcareInnovation #RemoteMonitoring #DigitalHealth #PatientCare #ChronicDiseaseManagement #SmartHealth #Biotech #FutureOfHealthcare

Flexible, wearable biosensors for digital health https://lnkd.in/gDuwBMgb Flexible and stretchable biosensors have the advantage of enhanced signal validity and patient comfort during physiological signal sensing and biomolecular analysis, crucial for disease diagnosis, treatment and health management. Their lightness, softness and excellent mechanical properties enable effective skin-device interface coupling and skin safety profiles, realizing multi-functional, intelligent real-time sensing. In this review, the basic sensing principles of biosensor systems and their applications are discussed. Moreover, the potential applications and prospective progress of these biosensors are further prospected. Flexible, wearable biosensors have the potential to realize continuous and long-term health monitoring in clinical and daily health care. #Heterogeneity #innovation #research #Bioelectronics

We believe in empowering every stakeholder in the clinical trial process with the best tools and technology. Today, we are excited to share our latest article that explores the transformative power of wearable technology and optimized patient workflows in clinical trials. "The Delve Difference: Enhancing Clinical Trials with Wearable Technology and Optimized Patient Workflows" In this article, you’ll learn how we are enhancing clinical trials by: * Integrating Wearable Technology: Seamlessly capturing real-time data to enhance trial accuracy and patient safety. * Optimizing Patient Workflows: Ensuring higher patient engagement and retention through automated engagement tools and high-touch concierge services. What if we could promise patients, caregivers, researchers, and all study stakeholders a better experience? An experience that helps them better manage their daily workflow, where they no longer need to remember where their study tip sheet is or what they need to do before their next study visit. Imagine an experience with a simple app where patients can view their wearables, modify their visit schedules, and gather all their PRO data—a way to improve compliance, keep patients engaged, and reduce dropout rates. Our innovative approach addresses many challenges faced in traditional clinical trials, such as improving data accuracy, enhancing patient compliance, and making trials more accessible to diverse populations. We believe this advancement will pave the way for more efficient, patient-centric, and successful clinical trials.

🔜 Coming Soon! 🔬✨Get ready for an exhilarating journey into the future of healthcare! 🌟 Join Dr. Angelo Karunaratne at TechnoVerse 2.0 as we unveil The Power of Biomedical Engineering, Wearable Devices, and Innovation! 💡 Mark your calendars for March 12th and be part of the revolution shaping tomorrow's healthcare landscape! 🚀 Don't miss out on this insightful session! #CINEC #IEEE_Student_branch #HealthTechRevolution #TechnoVerse

Teltonika's TeltoHeart, has just received the CE MDR (Class IIa) medical device certification. It's big 🚀 Let me break it down: ⌚Wearable ECG devices typically come with 1 or 2 leads (contact points on the body) - for example iWatch generates an ECG that is similar to a single-lead (or Lead I) ECG. On the other hand, hospital-grade ECGs have 12 leads which makes them more sensitive. This means that wearables can pick up electrical signals from the heart, but not as accurately as a hospital-grade ECG 🏥. 🇱🇹 The system used in this #Lithuanian product creates a new paradigm in wearable device diagnostics. In terms of technical capability and functionality, it is unique and likely unmatched in the market. 🫀The TeltoHeart smart wristband is designed to assist individuals with heart rhythm disorders and can detect various arrhythmias, including atrial fibrillation. It alerts users to abnormal heart rhythms, prompting them to conduct a 6-lead (!) electrocardiogram (ECG) using the device. This feature enables healthcare professionals to diagnose and treat conditions effectively 👨⚕️💊 Initially, the prototype algorithm for the device was developed by KTU researchers, with contributions from Vilnius University and Vilnius University Hospital Santaros Klinikos, and subsequently, the algorithm was refined by Teltonika Telemedic to meet telemedicine market demands. This achievement showcases the immense potential that emerges from the collaboration between universities and businesses 🤝 Could not be more proud 🇱🇹 #Medicaldevices #Wearables #ECG #Innovation

Sirius tool: Conversion of clinical study data into OMOP model and implementation of data quality monitoring of wearable sensor data #OHDSISocialShowcase #JoinTheJourney Lead: Vojtech Huser Team: Esteve Verdura, Michael Lubke, Bhavna Adhin Background: Optimal data representation of human clinical study data is an ongoing medical informatics challenge. The Observational Medical Outcomes Partnership (#OMOP) common data model (CDM) has been used to aggregate data across multiple studies to facilitate analysis that is portable across various datasets. We chose to pursue data quality assessment (DQA) against OMOP transformed data and not the original source data. Our project focuses on digital health studies that utilize wearable sensors. The significance of digital health technologies has been growing recently. Activity monitoring is probably the most advanced digital health domain. Data for wearable sensors is often received and organized into files per subject per study event. The goal of data quality assessment is to look at data file presence (all files present for all study events for all data types for all study participants) and at data file content (files adhere to rules that investigate data format, data density, value plausibility or consistency across data types). https://lnkd.in/eQjjGQNf

Thank you Editor Yang of CHATmed from covering our review on CVD devices for disease prediction!

🎈 Advancing #cardiovasculardisease prediction: portable or #wearable devices for automatic and rapid blood sample collection for #biomarker detection with simultaneous physiological marker measurement 👨👩👧👧 Team: Xinrui Wang Bee Luan Khoo Shih-Chi Chen 📝 Full Paper: https://lnkd.in/d3CwyApb Portable and wearable devices that enable automatic and rapid blood sample collection for biomarker detection in conjunction with simultaneous physiological marker measurement represent major advances for the prediction of CVDs. These devices provide convenience, real-time insights, and early prediction capabilities to empower individuals and healthcare professionals to proactively monitor and manage cardiovascular health. As technologies continues to evolve and major challenges being gradually addressed, the synergistic integration of these devices in clinical practice holds great promise for revolutionizing early prediction strategies, ultimately leading to transform the landscape of cardiovascular disease detection and prevention.