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Deep Learning for PPG Quality Assessment by Keyboard Kumar is a document available to read on EtoBox.

What is Deep Learning for PPG Quality Assessment about?

This document presents a method for assessing the quality of photoplethysmogram (PPG) signals using a convolutional neural network (CNN). The method aims to reduce false alarms and energy consumption in long-term health monitoring applications. The paper seeks to determine optimal CNN parameters and evaluate the robustness of trained models on different datasets and noise sources.

Author

Keyboard Kumar

Language

EN