Integrating Delta Modulation and Stochastic Computing for Real-time Machine Learning based Heartbeats Monitoring in Wearable Systems
Author:
Affiliation:
1. New Mexico State University,Klipsch School of ECE,Las Cruces,USA
2. Northeastern University,Department of ECE,Boston,USA
3. Universidad Politécnica de Madrid,Telematic Systems Engineering Department,Madrid,Spain
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10168547/10168548/10168665.pdf?arnumber=10168665
Reference20 articles.
1. The impact of the MIT-BIH Arrhythmia Database
2. A Real-Time Arrhythmia Heartbeats Classification Algorithm Using Parallel Delta Modulations and Rotated Linear-Kernel Support Vector Machines
3. Gradient Descent Using Stochastic Circuits for Efficient Training of Learning Machines
4. Physiobank, physiotoolkit, and physionet: components of a new research resource for complex physiologic signals;goldberger;Circulation,2000
5. ULECGNet: An Ultra-Lightweight End-to-End ECG Classification Neural Network
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