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 …
Deep learning in ECG diagnosis: A review
X Liu, H Wang, Z Li, L Qin - Knowledge-Based Systems, 2021 - Elsevier
Cardiovascular disease (CVD) is a general term for a series of heart or blood vessels
abnormality that serves as a global leading reason for death. The earlier the abnormal heart …
abnormality that serves as a global leading reason for death. The earlier the abnormal heart …
Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review
Background The electrocardiogram (ECG) is one of the most commonly used diagnostic
tools in medicine and healthcare. Deep learning methods have achieved promising results …
tools in medicine and healthcare. Deep learning methods have achieved promising results …
A transformer-based deep neural network for arrhythmia detection using continuous ECG signals
R Hu, J Chen, L Zhou - Computers in Biology and Medicine, 2022 - Elsevier
Recently, much effort has been put into solving arrhythmia classification problems with
machine learning-based methods. However, inter-heartbeat dependencies have been …
machine learning-based methods. However, inter-heartbeat dependencies have been …
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 …
Vibration-based anomaly detection using LSTM/SVM approaches
Fault detection is a critical step for machine condition monitoring and maintenance. With
advances in machine learning technologies, automated faulty condition identification can be …
advances in machine learning technologies, automated faulty condition identification can be …
Toward real-time and efficient cardiovascular monitoring for COVID-19 patients by 5G-enabled wearable medical devices: a deep learning approach
Patients with deaths from COVID-19 often have co-morbid cardiovascular disease. Real-
time cardiovascular disease monitoring based on wearable medical devices may effectively …
time cardiovascular disease monitoring based on wearable medical devices may effectively …
Digital twin empowered wireless healthcare monitoring for smart home
The dramatic progresses of wireless technologies and wearable devices have significantly
promoted the development and popularity of smart home, while digital twin (DT) emerges as …
promoted the development and popularity of smart home, while digital twin (DT) emerges as …
InfusedHeart: A novel knowledge-infused learning framework for diagnosis of cardiovascular events
S Pandya, TR Gadekallu, PK Reddy… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
In the undertaken study, we have used a customized dataset termed``Cardiac-200''and the
benchmark dataset``PhysioNet.''which contains 1500 heartbeat acoustic event samples …
benchmark dataset``PhysioNet.''which contains 1500 heartbeat acoustic event samples …
Deep learning in physiological signal data: A survey
Deep Learning (DL), a successful promising approach for discriminative and generative
tasks, has recently proved its high potential in 2D medical imaging analysis; however …
tasks, has recently proved its high potential in 2D medical imaging analysis; however …