Smartphone

Citizen responders who were dispatched through a smartphone app and arrived before emergency medical services increased the odds of the patient receiving bystander CPR and bystander defibrillation, researchers found.

The smartphone app RELAXaHEAD, which consists of progressive muscle relaxation therapy assistance and an electronic headache diary, reduced headache days in patients with migraine, a pilot randomized controlled trial showed.

A digital cognitive behavioral therapy intervention was safe and effective for reducing symptoms of anxiety and worry among individuals with generalized anxiety disorder, according to study results published in Depression and Anxiety.

Medtronic announced it received FDA clearance and a CE mark for its insertable cardiac monitor with remote programming.

Abbott announced that the FDA approved its next-generation Bluetooth-capable implantable cardioverter defibrillator and cardiac resynchronization therapy defibrillator devices.

Culturally tailored health coaching may be an effective way to promote CV health and potentially reduce risk for CVD, although more data are needed to determine the best approach to do so.

In an effort to aid contact tracing and infection control measures during the COVID-19 pandemic, institutions and public health departments and working with developers to create apps that assess the spread of the virus in communities across the United States.

The American Heart Association announced it has awarded more than $14 million in scientific research grants to four multidisciplinary teams to develop the AHA’s new Strategically Focused Research Network on Health Technologies and Innovation.

Follow-up after an acute MI using a smart technology approach, which utilized smartphone-compatible devices including a BP monitor, weight scale, step counter and rhythm monitor, yielded similar rates of regulated BP compared with the standard of care.

A systematic review and meta-analysis of four smartphone camera applications that detect atrial fibrillation reported high sensitivity and specificity of the apps for diagnosing AF, but a modest predictive value, which researchers concluded could generate a high number of false-positive results.