Tuesday March 19, 2019
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Apple Brings New Emoji to iPhones, iPads

With iOS 12.1, iPhone XS, iPhone XS Max and iPhone XR gain Dual SIM support, featuring a nano-SIM and digital eSIM

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Apple lowers Q1 revenue guidance on slow iPhone sales.

Apple has brought Group FaceTime with up to 32 people simultaneously and over 70 new emoji to iPhones and iPads via iOS 12.1.

FaceTime changed the way people communicate and share important moments and “now with Group FaceTime, it’s easy to chat with more people than ever before, from two to 32 people”, Apple said in a statement late Monday.

iOS 12.1 also brings Depth Control in real-time preview and Dual SIM support to iPhone XS, iPhone XS Max and iPhone XR customers.

Group FaceTime is integrated into the Messages app, making it easy to start a Group FaceTime right from a group iMessage chat.

“If people in a conversation have already started a FaceTime session, Messages shows the active call in the conversation list and inside your conversations,” said Apple.

FaceTime now uses on-device intelligence to display the most prominent speakers on the call, automatically highlighting the current speaker by bringing them to the forefront.

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An Apple store in Woodbridge, Virginia. (VOA)

It automatically sizes each person’s image depending upon how active they are in the conversation, based on duration of speech, volume and even motion.

“Participants who are not active will appear at the bottom of the screen until they speak. A simple tap also brings a participant front and centre,” Apple added.

When calling more than one person, FaceTime displays a notification that lets you instantly join a call without being disruptive.

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More than 70 new emoji have come to iPhone and iPad with iOS 12.1. New emoji will also be available on Apple Watch and Mac with a free software update.

With iOS 12.1, iPhone XS, iPhone XS Max and iPhone XR gain Dual SIM support, featuring a nano-SIM and digital eSIM. (IANS)

Next Story

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.

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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.

“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)