Duke Clinical Research Institute’s Post

Wearable Biosensors Transforming Congenital Heart Disease Care In a significant advancement for patients with congenital heart disease, wearable biosensors are revolutionizing healthcare with continuous, noninvasive monitoring of physiological and behavioral data. These innovative devices range from medical-grade equipment for at-home heart rhythm assessments to non-medical grade gadgets, many of which utilize photoplethysmography to diagnose arrhythmias and monitor oxygen saturation levels. However, patients with congenital heart disease often have physiological measurements that fall outside the normal range. This poses a challenge, as many wearables are tested within typical oxygen saturation levels of 90-100% and heart rates below 200 bpm. Integrating data from these devices into electronic medical records is crucial for efficient evaluation by healthcare providers, ensuring that the information collected is effectively utilized in patient care. https://lnkd.in/ep-aFzPZ

Prediction of atrial fibrillation from at-home single-lead ECG signals without arrhythmias Clinical Innovation+Technology. Early identification of atrial fibrillation (AF) can reduce the risk of stroke, heart failure, and other serious cardiovascular outcomes. Throughout most of the 100+ year of ECGs being a standard diagnostic test, its use has been primarily limited to clinical setting. This is rapidly changing with multiple technologies enabling anyone, at any time, to obtain at least a short single lead ECG through their smartwatch or other smartphone connected device... #healthcaretransformation #clinicalinnovation

🩺Unlocking the future of healthcare!💡  Cutting-edge developments are being made in the fight against heart disease, with graphene being used in wearable and implantable devices developed by Dmitry Kireev, Asst. Professor at the University of Massachusetts Amherst. The wearable graphene-based biointerface mimics a temporary tattoo on the skin to enable self-monitoring of cardiovascular health, resembling a pacemaker that would attach directly to the heart for health monitoring and electrical stimulation. Read more in the article below about this groundbreaking innovation that is reshaping medical diagnostics and the battle against coronary artery disease.  🌟💉 #HealthTech #Graphene #Wearables #Implants https://lnkd.in/e2pfNca8

New Algorithm Can Predict And Help Prevent Sudden Cardiac Death Researchers from Tampere University in Finland have developed a new algorithm that can predict sudden cardiac death (SCD) using a metric called Detrended Fluctuation Analysis (DFA2 a1). The algorithm detects changes in heart rate variability, especially at rest. A study involving 2,794 individuals showed that this metric is a strong and independent predictor of SCD. This metric can be easily measured using sensors in wearable devices like smartwatches and is more accurate than current methods. For more details, check out the full study: https://lnkd.in/d5sHYQWz #Cardiology #HeartHealth #MedicalResearch #SCD #WearableTech

A team of researchers has developed a cutting-edge laser-based wearable device that could revolutionize how we monitor brain blood flow and assess stroke risk. This portable system utilizes Speckle Contrast Optical Spectroscopy (SCOS) to identify changes in blood flow and volume, offering a simple and non-invasive approach for early stroke risk detection. Why is this important? Strokes affect 15 million people annually and are a leading cause of death and long-term disability. This new technology could lead to early intervention and personalized prevention strategies, particularly in communities with limited access to medical facilities. Read more here: https://lnkd.in/eP-m2dd3 #HealthcareInnovation #StrokePrevention #WearableTech #MedicalDevices #HealthcareTransformation

📢 **Autonomic Biosignals, Seizure Detection, and Forecasting: Key Insights from Epilepsia** 📢 Wearable devices are revolutionizing epilepsy research with their potential to enhance seizure monitoring and prediction. These devices assess autonomic nervous system function, reflecting changes in seizures and central nervous system states. Here’s what you need to know: 🔹 **Technical Aspects**: The review dives deep into how autonomic biosignals are measured and used in clinical practice. 🔹 **Clinical Use**: Recent studies have shown promising results in using autonomic nervous system biomarkers for seizure detection and forecasting. 🔹 **Research and Trials**: The article lists numerous studies and discusses devices in phase II and phase IV trials for tonic–clonic seizures. This comprehensive summary is invaluable for healthcare providers prescribing these devices or addressing patient inquiries. As wearable seizure-detection devices gain popularity, it’s crucial for patients to understand how they can positively impact their daily lives. 🔗 Read the full review in Epilepsia for more detailed insights! #EpilepsyResearch #SeizureDetection #WearableTech #AutonomicBiosignals #Epilepsia #HealthcareInnovation #PatientCare #MedicalDevices

📈 18-month study data showed NXTSTIM's wearable transcutaneous electrical nerve and electromyographic stimulation device, EcoAI, can help relieve pain. The device works by blocking pain signal transmission from the peripheral nervous system to the central nervous system. 👏Congratulations to CEO Krishnan Chakravarthy M.D., Ph.D and the team for the positive results. 👉 Read more: https://lnkd.in/dFx3pA9q 📰 Follow Guided Solutions to receive the latest #MedTech news daily and subscribe to our weekly newsletter: https://lnkd.in/d8m6Pc38 #MedicalDevices #MedicalDevice #MedicalEquipment #Medicine #HealthTech #Surgeons #GuidedSolutions

Congrats to #Epitel and #MarkLehmkuhle on the FDA 510(k) clearance for REMI Vigilenz™ AI For Bedside Notifications, which conducts an automated analysis of EEG data collected by the REMI™ wireless wearable EEG System in near real-time. Notifications occur when the algorithm recognizes seizure characteristics within a section of EEG. These notifications provide information about the potential electrographic seizure, including seizure burden and corresponding confidence level! https://lnkd.in/gSCHqjAW

🔬 Revolutionizing patient rehabilitation with Xsens motion capture! 🚶♂️   A team from Acıbadem Üniversitesi, led by Dr. Hande Argunsah and PhD candidate Begüm Yalçın, has developed a wearable device that improves balance control by combining real-time haptic biofeedback with #Xsens motion capture technology, provided by sense4motion TR.   Key insights: - The wearable device significantly reduces balance losses, improving stability. - Patients using the 3D avatar during therapy showed higher motivation and increased stamina. - Promising results for future studies targeting conditions like Parkinson’s, scoliosis, and osteoarthritis.   The impact? Enhanced rehabilitation outcomes and new possibilities for therapeutic practices. ⚕   Read the full case study on our website: https://lnkd.in/eQU8mi2A

The latest Vizient Medical Device Tech Watch is now available and features the following topics:  - Electrophysiology technology - Women’s cardiovascular care - Wearable technology - Benefits of clinical decision support tools