An energy efficient ECG ventricular ectopic beat classifier using binarized CNN for edge AI devices
Wearable Artificial Intelligence-of-Things (AIoT) requires edge devices to be resource and
energy-efficient. In this paper, we design and implement an efficient binary convolutional …
energy-efficient. In this paper, we design and implement an efficient binary convolutional …
Low complexity binarized 2d-cnn classifier for wearable edge ai devices
Wearable Artificial Intelligence-of-Things (AIoT) devices exhibit the need to be resource and
energy-efficient. In this paper, we introduced a quantized multilayer perceptron (qMLP) for …
energy-efficient. In this paper, we introduced a quantized multilayer perceptron (qMLP) for …
VLSI implementation of QRS complex detector based on wavelet decomposition
YH Chen, CW Lu, SW Chen, MH Tsai, SY Lin… - IEEE …, 2022 - ieeexplore.ieee.org
This paper presents a very large–scale integration chip for a novel discrete wavelet
transform (DWT) based QRS complex detection algorithm. In many aspects of …
transform (DWT) based QRS complex detection algorithm. In many aspects of …
Artificial Intelligence Chip Design for High-Speed Cardiac Arrhythmia Classification
YH Chen, CT Wang, SY Lin, CS Lai… - IEEE Nanotechnology …, 2023 - ieeexplore.ieee.org
An artificial intelligence (AI)-enabled ECG chip (AI-ECG chip) for classifying continuous ECG
signals is described. The AI-ECG chip employs a two-stage strategy. It integrates a QRS …
signals is described. The AI-ECG chip employs a two-stage strategy. It integrates a QRS …
Cardiac Arrhythmia Classification using Antidictionaries
Cardiovascular diseases are the primary cause of death worldwide. At-home monitoring
systems can be used to prevent them. For long-term monitoring, these systems require high …
systems can be used to prevent them. For long-term monitoring, these systems require high …
Low Power Resource Constrained ECG Classifier for Edge AI
DWL Tai - 2023 - search.proquest.com
Abstract Artificial Intelligence-of-Things (AIoT) is expected to be a trillion-dollar market by
2030. This situation can further hasten the proliferation and democratization of artificial …
2030. This situation can further hasten the proliferation and democratization of artificial …
[PDF][PDF] An Energy Efficient ECG Ventricular Ectopic Beat Classifier Using Binarized CNN for Edge AI
(AIoT) requires edge devices to be resource and energyefficient. In this paper, we design
and implement an efficient binary convolutional neural network (bCNN) algorithm utilizing …
and implement an efficient binary convolutional neural network (bCNN) algorithm utilizing …