Systems theoretic accident model and process (STAMP): A literature review
Y Zhang, C Dong, W Guo, J Dai, Z Zhao - Safety science, 2022 - Elsevier
Abstract Systems models are the mainstream paradigm of accident models. STAMP is one of
the most popular systems models, which has been applied in most industries. Therefore, the …
the most popular systems models, which has been applied in most industries. Therefore, the …
A review of wearable sensors based fall-related recognition systems
J Liu, X Li, S Huang, R Chao, Z Cao, S Wang… - … Applications of Artificial …, 2023 - Elsevier
Falls are an important factor in significantly deteriorating quality of life of older adults,
consequently leading to both physical and psychological harm. A wearable-based fall …
consequently leading to both physical and psychological harm. A wearable-based fall …
A review of converging technologies in eHealth pertaining to artificial intelligence
Over the last couple of years, in the context of the COVID-19 pandemic, many healthcare
issues have been exacerbated, highlighting the paramount need to provide both reliable …
issues have been exacerbated, highlighting the paramount need to provide both reliable …
Fall detection from electrocardiogram (ecg) signals and classification by deep transfer learning
Fall is a prominent issue due to its severe consequences both physically and mentally. Fall
detection and prevention is a critical area of research because it can help elderly people to …
detection and prevention is a critical area of research because it can help elderly people to …
Toward automated feature extraction for deep learning classification of electrocardiogram signals
Many recent studies have focused on the automatic classification of electrocardiogram
(ECG) signals using deep learning (DL) methods. Most rely on existing complex DL …
(ECG) signals using deep learning (DL) methods. Most rely on existing complex DL …
Evaluating the integration of Esper complex event processing engine and message brokers
The great advance and affordability of technologies, communications and sensor technology
has led to the generation of large amounts of data in the field of the Internet of Things and …
has led to the generation of large amounts of data in the field of the Internet of Things and …
A spatio-temporal graph convolutional network model for internet of medical things (IoMT)
In order to provide intelligent and efficient healthcare services in the Internet of Medical
Things (IoMT), human action recognition (HAR) can play a crucial role. As a result of their …
Things (IoMT), human action recognition (HAR) can play a crucial role. As a result of their …
Toward Dependable Internet of Medical Things: IEEE 802.15. 6 Ultra-Wideband Physical Layer Utilizing Superorthogonal Convolutional Code
Wireless body area networks (WBANs) are attracting attention as a very important
technology for realizing an Internet of Medical Things (IoMT). IEEE 802.15. 6 is well known …
technology for realizing an Internet of Medical Things (IoMT). IEEE 802.15. 6 is well known …
Toward an advanced human monitoring system based on a smart body area network for industry use
This research provides a study on a smart body area network (SmartBAN) physical layer
(PHY), as an of the Internet of medical things (IoMT) technology, for an advanced human …
(PHY), as an of the Internet of medical things (IoMT) technology, for an advanced human …
Mctn: A multi-channel temporal network for wearable fall prediction
J Liu, X Li, G Liao, S Wang, L Liu - Joint European Conference on …, 2023 - Springer
A key challenge in wearable sensor-based fall prediction is the fact that a fall event can often
be performed in several different ways, with each consisting of its own configuration of poses …
be performed in several different ways, with each consisting of its own configuration of poses …