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. 2019 Aug 2;7(8):e11966. doi: 10.2196/11966

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©Igbe Tobore, Jingzhen Li, Liu Yuhang, Yousef Al-Handarish, Abhishek Kandwal, Zedong Nie, Lei Wang. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 02.08.2019.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mhealth and uhealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.

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Deep learning service for medical internet of things (IoT) with edge computing and mobile apps for continuous health care monitoring using magnetic resonance images (MRI) and signals such as electrocardiogram (ECG), electroencephalogram (EEG), electromyography (EMG).