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[HTML][HTML] PPG and Bioimpedance-Based Wearable Applications in Heart Rate Monitoring—A Comprehensive Review
The monitoring of hemodynamic parameters, such as heart rate and blood pressure,
provides valuable indications of overall cardiovascular health. It is preferable that such …
provides valuable indications of overall cardiovascular health. It is preferable that such …
The digital transformation of nursing practice: an analysis of advanced IoT technologies and smart nursing systems
B Wang, X Shi, X Han, G **ao - Frontiers in Medicine, 2024 - frontiersin.org
Facing unprecedented challenges due to global population aging and the prevalence of
chronic diseases, the healthcare sector is increasingly relying on innovative solutions …
chronic diseases, the healthcare sector is increasingly relying on innovative solutions …
Aspects of 6th generation sensing technology: from sensing to sense
The 6th-generation (6G) sensing technology is transforming the ways we perceive and
interact with the world in real scenarios. It combines advanced materials, sophisticated …
interact with the world in real scenarios. It combines advanced materials, sophisticated …
AI Driven IoT Healthcare Devices Security Vulnerability Management
In the modern healthcare ecosystem, emerging technologies, Internet of Things (IoT)
medical devices playing major role for providing seamless and remote clinical care, disease …
medical devices playing major role for providing seamless and remote clinical care, disease …
Multi-Faceted Approach to Cardiovascular Risk Assessment by Utilizing Predictive Machine Learning and Clinical Data in a Unified Web Platform
Cardiovascular diseases (CVD) persist as a formidable global health challenge,
underscoring the imperative for advanced early detection mechanisms. The evolution of …
underscoring the imperative for advanced early detection mechanisms. The evolution of …
Prediction and Detection of Terminal Diseases Using Internet of Medical Things: A Review
AT Otapo, A Othmani, G Khodabandelou… - arxiv preprint arxiv …, 2024 - arxiv.org
The integration of Artificial Intelligence (AI) and the Internet of Medical Things (IoMT) in
healthcare, through Machine Learning (ML) and Deep Learning (DL) techniques, has …
healthcare, through Machine Learning (ML) and Deep Learning (DL) techniques, has …
Decision Trees Unleashed: Simplifying IoT Malware Detection With Advanced AI Techniques
This chapter presents an in-depth study on the application of decision tree-based classifiers
for the detection of malware in internet of things (IoT) environments. With the burgeoning …
for the detection of malware in internet of things (IoT) environments. With the burgeoning …
Efficient feature extraction for image analysis through adaptive caching in vector databases
For popular machine learning (ML) models like MobileNetV3 and ResNet, the extraction and
storage of image features serve as a critical step for both the training and inference stages …
storage of image features serve as a critical step for both the training and inference stages …
Enhancing IoT Security: Leveraging Advanced Deep Learning Architectures for Proactive Botnet Detection and Network Resilience
RK Jones - Redefining Security With Cyber AI, 2024 - igi-global.com
This chapter explores the application of advanced deep learning architectures, namely
convolutional neural networks (CNNs) and recurrent neural networks (RNNs), for the …
convolutional neural networks (CNNs) and recurrent neural networks (RNNs), for the …
Interfering sensed input classification model using assimilated whale optimization and deep Q-learning for remote patient monitoring
S Johar, GR Manjula - Biomedical Signal Processing and Control, 2024 - Elsevier
Abstract The Internet of Medical Things (IoMT)-based Remote Patient Monitoring (RPM)
systems provide real-time data and insights about patients' conditions without the need for …
systems provide real-time data and insights about patients' conditions without the need for …