The role of the Internet of Things in healthcare: Future trends and challenges
Abstract Background and Objective With the recent advances in the Internet of Things (IoT),
the field has become more and more developed in healthcare. The Internet of things will …
the field has become more and more developed in healthcare. The Internet of things will …
Artificial intelligence methods for analysis of electrocardiogram signals for cardiac abnormalities: state-of-the-art and future challenges
SK Saini, R Gupta - Artificial Intelligence Review, 2022 - Springer
Abstract Cardiovascular diseases (CVDs) in India and globally are the major cause of
mortality, as revealed by the World Health Organization (WHO). The irregularities in the pace …
mortality, as revealed by the World Health Organization (WHO). The irregularities in the pace …
[HTML][HTML] Automatic ECG classification using continuous wavelet transform and convolutional neural network
Early detection of arrhythmia and effective treatment can prevent deaths caused by
cardiovascular disease (CVD). In clinical practice, the diagnosis is made by checking the …
cardiovascular disease (CVD). In clinical practice, the diagnosis is made by checking the …
A cybertwin based multimodal network for ecg patterns monitoring using deep learning
In next-generation network architecture, the Cybertwin drove the sixth generation of cellular
networks sixth-generation (6G) to play an active role in many applications, such as …
networks sixth-generation (6G) to play an active role in many applications, such as …
An efficient ECG arrhythmia classification method based on Manta ray foraging optimization
The Electrocardiogram (ECG) arrhythmia classification has become an interesting research
area for researchers and developers as it plays a vital role in early prevention and diagnosis …
area for researchers and developers as it plays a vital role in early prevention and diagnosis …
[HTML][HTML] Improved machine learning-based predictive models for breast cancer diagnosis
A Rasool, C Bunterngchit, L Tiejian, MR Islam… - International journal of …, 2022 - mdpi.com
Breast cancer death rates are higher than any other cancer in American women. Machine
learning-based predictive models promise earlier detection techniques for breast cancer …
learning-based predictive models promise earlier detection techniques for breast cancer …
An ensemble of deep learning-based multi-model for ECG heartbeats arrhythmia classification
An automatic system for heart arrhythmia classification can perform a substantial role in
managing and treating cardiovascular diseases. In this paper, a deep learning-based multi …
managing and treating cardiovascular diseases. In this paper, a deep learning-based multi …
[HTML][HTML] Congenital heart disease detection by pediatric electrocardiogram based deep learning integrated with human concepts
Early detection is critical to achieving improved treatment outcomes for child patients with
congenital heart diseases (CHDs). Therefore, developing effective CHD detection …
congenital heart diseases (CHDs). Therefore, developing effective CHD detection …
Digital twin perspective of fourth industrial and healthcare revolution
Digital Twin (DT) is bringing revolution to our lives by a digital representation of the physical
system. DT is the creation of the joint usage of various technologies like Cyber-Physical …
system. DT is the creation of the joint usage of various technologies like Cyber-Physical …
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 …