Tag

Ecg

All articles tagged with #ecg

technology1 month ago•10 min saved

Ink-on-skin tattoo reads ECG and drives a robotic hand

Penn State researchers created a washable, paint-on electronic tattoo using conductive ink that dries on the skin to form an electrode for ECG/EMG/EEG signals. The tattoo connects to a Bluetooth module via a porous silver textile and can control a robotic hand in tests. It can be customized with colors and is designed to stay attached during movement, offering a more comfortable alternative to traditional patches. Future work could include monitoring biomarkers like glucose or cortisol and even plant health, but the technology is not yet ready for consumer use or clinical diagnosis, and it has not been tested on heart-attack patients.

via Fox News|

#bioelectronics #ecg #prosthetics

health1 month ago•11 min saved

AI Finds Hidden ECG Clue That Could Signal Sudden Cardiac Death Early

UC Berkeley researchers trained an AI on more than 440,000 ECGs and validated it with data from Sweden, the U.S. and Taiwan, uncovering a previously hidden ECG pattern linked to sudden cardiac death even when standard screenings look normal. The AI identified a high‑risk group with about 7% annual SCD risk versus 4.6% in the conventional reduced ejection fraction group, and many cases would have been missed by LVEF alone. If further testing confirms effectiveness across more populations, the approach could guide closer monitoring and influence defibrillator decisions, though it isn’t ready for patient use and raises privacy/data governance questions.

via Fox News|

#ai #ecg #health

health-care2 months ago•11 min saved

AI-powered ECG clues reveal hidden risk group for sudden cardiac death

A Nature News & Views piece shows a deep-learning model trained on thousands of ECGs and death records uncovers a previously unrecognized high‑risk group for sudden cardiac death by identifying ECG features that may improve risk prediction beyond current tools, potentially guiding targeted use of implantable defibrillators after further validation.

via Nature|

#cardiology #deep-learning #ecg

science2 months ago•51 min saved

AI-detected ECG signature reveals new high-risk group for sudden cardiac death

A Swedish deep-learning model trained on hundreds of thousands of ECGs linked to death data identifies a 2.2% high-risk group with a 7.0% annual Sudden Cardiac Death rate, most of whom would not be flagged by reduced left ventricular ejection fraction (LVEF); external validation in the US and Taiwan shows the model generalizes to predict arrhythmic events; a generative model visualizes a concrete ECG biomarker and implicates conduction changes related to fibrosis; these findings point to a sizable, previously unrecognized population that could potentially benefit from defibrillators and warrant randomized trials.

via Nature|

#biomarker #deep-learning #defibrillator

health7 months ago•4 min saved

Do You Need a CT Angiography for Heart Blockages? Expert Debunks Myths

Dr. Bondre explains that CT Angiography is not always necessary for detecting heart blockages, especially in low-risk, asymptomatic patients with normal ECG and stress test results. Standard tests like ECG and stress tests are effective for initial assessment, but have limitations in detecting all artery issues. CT Angio provides detailed images and is useful for intermediate or high-risk patients or when other tests are inconclusive, but it involves radiation, risks from contrast dye, and higher costs. Medical guidelines recommend using CT Angio selectively, emphasizing lifestyle modifications for prevention.

via Times of India|

#ct-angiography #ecg #health

health-technology10 months ago•1 min saved

Samsung's Galaxy Watch to Use AI for Early Heart Failure Detection

Samsung is developing AI-powered features for its Galaxy Watch to detect signs of heart failure, specifically Left Ventricular Systolic Dysfunction, using advanced ECG analysis in collaboration with Medical AI. The technology, already in use in South Korean hospitals, aims for early detection and improved treatment outcomes, pending regulatory approvals for global release.

via SamMobile|

#ai #ecg #galaxy-watch

health1 year ago•5 min saved

AI Revolutionizes Heart Disease Detection and Prevention

Researchers have developed EchoNext, an AI tool that analyzes standard ECGs to detect hidden structural heart diseases more accurately than cardiologists, potentially transforming routine cardiac tests into early screening methods for serious heart conditions.

via SciTechDaily|

#ai #deep-learning #ecg

health-tech3 years ago•3 min saved

Samsung's Galaxy Watch: The Ultimate Health Companion with Lifesaving Features.

Samsung has announced that its Irregular Heart Rhythm Notification (IHRN) feature will be available in 13 markets starting this summer. The IHRN feature, combined with the app’s Blood Pressure and Electrocardiogram (ECG) monitoring, detects heart rhythms suggestive of atrial fibrillation (AFib), helping Galaxy Watch users understand their heart health more comprehensively. The IHRN feature checks for irregular heart rhythms in the background and warns the user of potential AFib activity.

via Samsung|

#ecg #galaxy-watch #health-tech

health-tech3 years ago•1 min saved

Samsung's Galaxy Watch to Include Irregular Heart Rhythm Detection in Upcoming Update

Samsung's Galaxy Watch will soon be able to alert wearers to irregular heart rhythms, as the US FDA has approved the Health Monitor app's irregular heart rhythm notification feature for the device. The watch's BioActive Sensor will look for irregular heart rhythms in the background, and if it picks up several irregular measurements consecutively, the watch will alert the wearer to possible AFib activity. The notification will suggest that the user takes an ECG reading for a more accurate measurement.

via Engadget|

#afib #ecg #galaxy-watch

health3 years ago•3 min saved

The Link Between Stress Tests and High Professional Stress Levels

A stress test is a medical test that involves walking on a treadmill or riding a stationary bike while a healthcare provider monitors your heart rhythm, blood pressure, and breathing. It is usually ordered when there is ambiguity around whether or not someone has coronary artery disease. The test can detect abnormalities in blood pressure, heart rate, or ECG, and could point to coronary artery disease. The data gathered from the stress test may help diagnose or monitor heart disease, plan a surgical or exercise intervention, monitor treatment, or order additional testing.

via USA TODAY|

#coronary-artery-disease #ecg #exercise

health3 years ago•4 min saved

Smartwatches may detect heart failure risk, study suggests.

A new study from University College London suggests that a smartwatch’s heart rate tracker could potentially predict when someone has a higher risk of heart failure. The study analyzed data from 83,000 people between the ages of 50 and 70 with no known cardiovascular disease. They had all undergone 15-second electrocardiograms (ECGs), which record the heart’s activity, including the rate, rhythm and strength of the heartbeat. The researchers found that those whose recordings captured an extra heartbeat were twice as likely to develop heart failure or arrhythmia (irregular heart rhythm) in the next decade than those who didn’t have the extra beat.

via Fox News|

#cardiovascular-disease #ecg #health

health3 years ago•4 min saved

Smart Watch Alerts: Detecting Heart Failure Risk.

A study of over 83,000 people suggests that a smartwatch can detect a telltale early warning sign of heart failure. People whose heartbeats are too close together, indicating a different electrical pattern in the lower chambers of the heart, have about twice the risk of heart failure. This abnormality can be picked up using an ECG on a smartwatch, and around one in 50 middle-aged people have irregular heartbeats like these every 15 seconds. Knowing this could allow middle-aged people to ask their GP to monitor their heart more closely. Smartwatches may also flag up someone's risk of an irregular heartbeat, called atrial fibrillation, which can lead to dizziness and shortness of breath.

via Daily Mail|

#atrial-fibrillation #early-warning-sign #ecg

healthcare-technology3 years ago•3 min saved

Predicting Mortality Risk with Machine Learning from Routine Hospital Tests.

Researchers have developed a machine learning algorithm that can predict the risk of death within one month, one year, and five years of a patient being admitted to the hospital with an 85% accuracy rate, using ECG data and demographic information. The algorithm sorts patients into five categories from lowest to highest risk. The study is a proof-of-concept for using routinely collected data to improve individual care and allow the health-care system to "learn" as it goes.

via Neuroscience News|

#ecg #healthcare-system #healthcare-technology