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Online obstructive sleep apnea detection on medical wearable sensors
Obstructive Sleep Apnea (OSA) is one of the main under-diagnosed sleep disorder. It is an
aggravating factor for several serious cardiovascular diseases, including stroke. There is …
aggravating factor for several serious cardiovascular diseases, including stroke. There is …
[HTML][HTML] Wearable real-time heart attack detection and warning system to reduce road accidents
Heart attack is one of the leading causes of human death worldwide. Every year, about
610,000 people die of heart attack in the United States alone—that is one in every four …
610,000 people die of heart attack in the United States alone—that is one in every four …
[HTML][HTML] Multiclass classification of myocardial infarction with convolutional and recurrent neural networks for portable ECG devices
Myocardial infarction (MI) is a medical emergency for which the early detection of symptoms
is desirable. The prevalence of portable electrocardiogram (ECG) devices makes frequent …
is desirable. The prevalence of portable electrocardiogram (ECG) devices makes frequent …
Real-time event-driven classification technique for early detection and prevention of myocardial infarction on wearable systems
D Sopic, A Aminifar, A Aminifar… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
A considerable portion of government health-care spending is allocated to the continuous
monitoring of patients suffering from cardiovascular diseases, particularly myocardial …
monitoring of patients suffering from cardiovascular diseases, particularly myocardial …
A Systematic Review on the Use of Consumer-Based ECG Wearables on Cardiac Health Monitoring
This systematic review aims to summarize the consumer wearable devices used for
collecting ECG signals, explore the models or algorithms employed in diagnosing and …
collecting ECG signals, explore the models or algorithms employed in diagnosing and …
A binary learning framework for hyperdimensional computing
Brain-inspired Hyperdimensional (HD) computing is a computing paradigm emulating a
neuron's activity in high-dimensional space. In practice, HD first encodes all data points to …
neuron's activity in high-dimensional space. In practice, HD first encodes all data points to …
[HTML][HTML] Privacy-preserving edge federated learning for intelligent mobile-health systems
Abstract Machine Learning (ML) algorithms are generally designed for scenarios in which all
data is stored in one data center, where the training is performed. However, in many …
data is stored in one data center, where the training is performed. However, in many …
Extremely randomized trees with privacy preservation for distributed structured health data
Artificial intelligence and machine learning have recently attracted considerable attention in
the healthcare domain. The data used by machine learning algorithms in healthcare …
the healthcare domain. The data used by machine learning algorithms in healthcare …
Real-time myocardial infarction detection approaches with a microcontroller-based edge-AI device
Myocardial Infarction (MI), commonly known as heart attack, is a cardiac condition
characterized by damage to a portion of the heart, specifically the myocardium, due to the …
characterized by damage to a portion of the heart, specifically the myocardium, due to the …
[PDF][PDF] Ease: Energy optimization through adaptation-a review of runtime energy-aware approximate deep learning algorithms
EASE: Energy Optimization through Adaptation – A Review of Runtime Energy-Aware
Approximate Deep Learning Algorithms Page 1 P osted on 6 F eb 2024 — CC-BY 4.0 — h …
Approximate Deep Learning Algorithms Page 1 P osted on 6 F eb 2024 — CC-BY 4.0 — h …