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Apple To Launch New Photography App For IOS Users

The app comes with features to capture portrait photos with automatic silhouette detection

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Apple, Tim Cook, Campus
The app comes with features to capture portrait photos, VOA

A new photography app for iOS called “Fuzion” that would use the “TrueDepth” camera data from new iPhones and create images by blending multiple images with portrait mode shots is expected to reach iOS users this week.

“‘Fuzion’ is a photo editor that lets you take your portraits and selfies to the next level. Blend multiple images and create stunning double exposures with ease,” the “Fuzion” team wrote in a post on Monday.

The feature would work on the new iPhones — iPhone 8 Plus, X, XR, and XS.

Apple, women
A new photography app for iOS called “Fuzion” that would use the “TrueDepth” camera data from new iPhones and create images by blending multiple images with portrait mode shots is expected to reach iOS users this week.-voa

The app comes with features to capture portrait photos with automatic silhouette detection, choices from a variety of backgrounds by top photographers to blend with the portrait and options to add dust overlays, light leaks and colour filters.

Also Read:Apple Launches Fitness Apps on Apple Watch Series 4 For Marathon Season

“The app utilises the powerful “TrueDepth” and dual cameras of new iPhones to automatically detect a person’s silhouette and cut them out of the background,” the post added.

The editing app was released to a group of beta testers in December, 9To5Mac reported. (IANS)

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Apple Watch Can Detect And Notify Users Irregular Heart Rhythms

The results of the Apple Heart Study highlight the role that innovative digital technology can play in creating more predictive and preventive health care," said Lloyd Minor of the Stanford School of Medicine. 

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The study is expected to play a crucial role in the future stability research of PSCs. Pixabay

Apple Watch can detect and notify users when they experience irregular heart rhythms, finds a study demonstrating the ability of wearable technology to detect atrial fibrillation.

In 2017, Apple had partnered with researchers from the Stanford University and launched an app called “Apple Heart Study” to determine whether a mobile app that uses data from a heart rate pulse sensor on the Apple Watch can identify atrial fibrillation.

Atrial fibrillation, a deadly and often undiagnosed condition, can lead to strokes. The condition often remains hidden because many people do not experience symptoms.

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Comparisons between irregular pulse-detection on Apple Watch and simultaneous electrocardiography patch recordings showed the pulse detection algorithm has 71 per cent positive predictive value. Pixabay

The findings showed only 0.5 per cent participants received irregular pulse notifications, an important finding given the concerns about potential over-notification.

Eighty-four per cent of the time participants who received irregular pulse notifications were found to be in atrial fibrillation at the time of the notification and 34 per cent who followed up by using an ECG patch over a week later were found to have atrial fibrillation.

“The results of the Apple Heart Study highlight the role that innovative digital technology can play in creating more predictive and preventive health care,” said Lloyd Minor of the Stanford School of Medicine.

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“The performance and accuracy we observed in this study provides important information as we seek to understand the potential impact of wearable technology on the health system,” noted Marco Perez, Associate Professor of cardiovascular medicine at Stanford. Pixabay

“Atrial fibrillation is just the beginning, as this study opens the door to further research into wearable technologies and how they might be used to prevent disease before it strikes — a key goal of precision health,” Minor said.

Also Read: Study Reveals Solar Cells Can Retain Most Of Their Power Conversion Efficiency in Near Space

Comparisons between irregular pulse-detection on Apple Watch and simultaneous electrocardiography patch recordings showed the pulse detection algorithm has 71 per cent positive predictive value.

“The performance and accuracy we observed in this study provides important information as we seek to understand the potential impact of wearable technology on the health system,” noted Marco Perez, Associate Professor of cardiovascular medicine at Stanford. (IANS)