May 2019
Intermediate to advanced
452 pages
12h 16m
English
Content preview from Hands-On GPU Computing with Python
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Heart-rate estimation on modern wearable devices
The following is the research paper discussed in this section: Unsupervised heart-rate estimation in wearables with liquid states and a probabilistic readout, A Das, P Pradhapan, W Groenendaal, P Adiraju, R T Rajan, F Catthoor, C V Hoof (2018), Neural Networks, 99, 134-147, doi:10.1016/j.neunet.2017.12.015.
Heart-rate monitoring can be crucial, especially for diabetic and cardiac patients. CARLsim, a GPU-accelerated library for simulating spiking neural network models with a high degree of biological detail, has been used by the scientists to create novel learning techniques. This enables an end-to-end approach to estimate heart-rate in wearable devices with embedded neuromorphic hardware. ...
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