[HTML][HTML] The Internet of Things (IoT) in healthcare: Taking stock and moving forward
A Rejeb, K Rejeb, H Treiblmaier, A Appolloni… - Internet of Things, 2023 - Elsevier
Recent improvements in the Internet of Things (IoT) have allowed healthcare to evolve
rapidly. This article summarizes previous studies on IoT applications in healthcare. A …
rapidly. This article summarizes previous studies on IoT applications in healthcare. A …
Electronic textiles for wearable point-of-care systems
Traditional public health systems are suffering from limited, delayed, and inefficient medical
services, especially when confronted with the pandemic and the aging population. Fusing …
services, especially when confronted with the pandemic and the aging population. Fusing …
Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges
This paper firstly introduces common wearable sensors, smart wearable devices and the key
application areas. Since multi-sensor is defined by the presence of more than one model or …
application areas. Since multi-sensor is defined by the presence of more than one model or …
Skin bioelectronics towards long-term, continuous health monitoring
Skin bioelectronics are considered as an ideal platform for personalised healthcare because
of their unique characteristics, such as thinness, light weight, good biocompatibility …
of their unique characteristics, such as thinness, light weight, good biocompatibility …
IoT and Cloud computing issues, challenges and opportunities: A review
MM Sadeeq, NM Abdulkareem… - Qubahan Academic …, 2021 - journal.qubahan.com
With the exponential growth of the Industrial Internet of Things (IIoT), multiple outlets are
constantly producing a vast volume of data. It is unwise to locally store all the raw data in the …
constantly producing a vast volume of data. It is unwise to locally store all the raw data in the …
Advancing biosensors with machine learning
Chemometrics play a critical role in biosensors-based detection, analysis, and diagnosis.
Nowadays, as a branch of artificial intelligence (AI), machine learning (ML) have achieved …
Nowadays, as a branch of artificial intelligence (AI), machine learning (ML) have achieved …
[HTML][HTML] The big picture on the internet of things and the smart city: a review of what we know and what we need to know
This study examines how the application of the IoT in smart cities is discussed in the current
academic literature. Based on bibliometric techniques, 1,802 articles were retrieved from the …
academic literature. Based on bibliometric techniques, 1,802 articles were retrieved from the …
A machine learning-based multimodal electrochemical analytical device based on eMoSx-LIG for multiplexed detection of tyrosine and uric acid in sweat and saliva
Multiplexed detection of biomolecules is of great value in various fields, from disease
diagnosis to food safety and environmental monitoring. However, accurate and multiplexed …
diagnosis to food safety and environmental monitoring. However, accurate and multiplexed …
[HTML][HTML] A systematic review of data fusion techniques for optimized structural health monitoring
Advancements in structural health monitoring (SHM) techniques have spiked in the past few
decades due to the rapid evolution of novel sensing and data transfer technologies. This …
decades due to the rapid evolution of novel sensing and data transfer technologies. This …
A comprehensive survey on multimodal medical signals fusion for smart healthcare systems
Smart healthcare is a framework that utilizes technologies such as wearable devices, the
Internet of Medical Things (IoMT), sophisticated machine learning algorithms, and wireless …
Internet of Medical Things (IoMT), sophisticated machine learning algorithms, and wireless …