Tuesday March 19, 2019
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Apple Blocks Third-party Repairs on Mac Devices

It also features a "Secure Enclave" co-processor for secure boot, encrypted storage and authenticating Touch ID

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Apple restricts third-party repair chances on new Mac devices. VOA

Apple has blocked possibilities of third-party repairs on the 2018 models of MacBook Pros and iMac Pros by making it compulsory for the devices to pass Apple diagnostics for certain repairs to be completed, the media reported.

The result of not running the Apple diagnostics on these devices would result in an inoperative system and an incomplete repair according to an internal document from Apple to service providers, MacRumors reported on Thursday.

The requirement applies to repairs involving the display, logic board, Touch ID, keyboard, battery, trackpad, and speakers on 2018 MacBook Pro and for iMac Pro it applies on logic board and flash storage repairs only.

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An Apple store in Woodbridge, Virginia. (VOA)

Since Apple’s diagnostic suite is only limited to internal use by Apple Stores and Apple Authorized Service Providers, independent repair shops without Apple certification may not be able to repair certain parts on the iMac Pro and 2018 MacBook Pro.

This requirement is a result of the “T2 chip” that is used in these devices, which integrates the system management controller, image signal processor, audio controller, and solid-state drive (SSD) controller.

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It also features a “Secure Enclave” co-processor for secure boot, encrypted storage and authenticating Touch ID, the report added.

Apple has not yet commented on the subject. (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.

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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)