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DeepBeat: A multi-task deep learning approach to assess signal quality and arrhythmia detection in wearable devices
In conclusion, though a combination of simulation and transfer learning and we develop and apply a multitask architecture to the problem of AF detection from wearable wrist sensors demonstrating high levels of accuracy and a solution for the vexing challenge of mechanical noise.
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