June 2019
Intermediate to advanced
308 pages
7h 21m
English
Content preview from Hands-On Deep Learning for IoT
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Use case one
The ECG dataset for use case one has been collected from 2017 PhysioNet/computing in cardiology challenge. This dataset consists of 8,528 ECG measurements. These measurements were recorded through an AliveCor hand-held device (as shown in the following screenshot), and, interestingly, this is an example healthcare IoT application:
The sampling rate of the ECG measurements was 300 Hz, and noise was removed by band-pass filtered by the AliveCor device. Each recorded measurement is compliant with MATLAB V4 WFDB format, and consists of two files:
- A file with a .mat extension that presents the main ECG signal information
- A corresponding ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.