Application of artificial intelligence in wearable devices: Opportunities and challenges
D Nahavandi, R Alizadehsani, A Khosravi… - Computer Methods and …, 2022 - Elsevier
Background and objectives: Wearable technologies have added completely new and fast
emerging tools to the popular field of personal gadgets. Aside from being fashionable and …
emerging tools to the popular field of personal gadgets. Aside from being fashionable and …
Recent advancements in emerging technologies for healthcare management systems: a survey
In recent times, the growth of the Internet of Things (IoT), artificial intelligence (AI), and
Blockchain technologies have quickly gained pace as a new study niche in numerous …
Blockchain technologies have quickly gained pace as a new study niche in numerous …
Applying artificial intelligence to wearable sensor data to diagnose and predict cardiovascular disease: a review
Cardiovascular disease (CVD) is the world's leading cause of mortality. There is significant
interest in using Artificial Intelligence (AI) to analyse data from novel sensors such as …
interest in using Artificial Intelligence (AI) to analyse data from novel sensors such as …
An automatic arrhythmia classification model based on improved marine predators algorithm and convolutions neural networks
Abstract Preparation of Convolutional Neural Networks (CNNs) for classification purposes
depends heavily on the knowledge of hyper-parameters tuning. This study aims, in particular …
depends heavily on the knowledge of hyper-parameters tuning. This study aims, in particular …
[PDF][PDF] TinyML-Based Classification in an ECG Monitoring Embedded System
Recently, the development of the Internet of Things (IoT) has enabled continuous and
personal electrocardiogram (ECG) monitoring. In the ECG monitoring system, classification …
personal electrocardiogram (ECG) monitoring. In the ECG monitoring system, classification …
Enhancing dynamic ECG heartbeat classification with lightweight transformer model
Arrhythmia is a common class of Cardiovascular disease which is the cause for over 31% of
all death over the world, according to WHOs' report. Automatic detection and classification of …
all death over the world, according to WHOs' report. Automatic detection and classification of …
Energy efficient ECG classification with spiking neural network
Heart disease is one of the top ten threats to global health in 2019 according to the WHO.
Continuous monitoring of ECG on wearable devices can detect abnormality in the user's …
Continuous monitoring of ECG on wearable devices can detect abnormality in the user's …
A review of wearable and unobtrusive sensing technologies for chronic disease management
With the rapidly increasing number of patients with chronic disease, numerous recent
studies have put great efforts into achieving long-term health monitoring and patient …
studies have put great efforts into achieving long-term health monitoring and patient …
ECG-based real-time arrhythmia monitoring using quantized deep neural networks: A feasibility study
Continuous ambulatory cardiac monitoring plays a critical role in early detection of
abnormality in at-risk patients, thereby increasing the chance of early intervention. In this …
abnormality in at-risk patients, thereby increasing the chance of early intervention. In this …
Real-time ultra-low power ECG anomaly detection using an event-driven neuromorphic processor
Accurate detection of pathological conditions in human subjects can be achieved through off-
line analysis of recorded biological signals such as electrocardiograms (ECGs). However …
line analysis of recorded biological signals such as electrocardiograms (ECGs). However …