Remote patient monitoring using artificial intelligence: Current state, applications, and challenges

T Shaik, X Tao, N Higgins, L Li… - … : Data Mining and …, 2023 - Wiley Online Library
The adoption of artificial intelligence (AI) in healthcare is growing rapidly. Remote patient
monitoring (RPM) is one of the common healthcare applications that assist doctors to …

WiFi sensing with channel state information: A survey

Y Ma, G Zhou, S Wang - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
With the high demand for wireless data traffic, WiFi networks have experienced very rapid
growth, because they provide high throughput and are easy to deploy. Recently, Channel …

FarSense: Pushing the range limit of WiFi-based respiration sensing with CSI ratio of two antennas

Y Zeng, D Wu, J Xiong, E Yi, R Gao… - Proceedings of the ACM on …, 2019 - dl.acm.org
The past few years have witnessed the great potential of exploiting channel state information
retrieved from commodity WiFi devices for respiration monitoring. However, existing …

Wireless sensing for human activity: A survey

J Liu, H Liu, Y Chen, Y Wang… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
With the advancement of wireless technologies and sensing methodologies, many studies
have shown the success of re-using wireless signals (eg, WiFi) to sense human activities …

MultiSense: Enabling multi-person respiration sensing with commodity wifi

Y Zeng, D Wu, J Xiong, J Liu, Z Liu… - Proceedings of the ACM on …, 2020 - dl.acm.org
In recent years, we have seen efforts made to simultaneously monitor the respiration of
multiple persons based on the channel state information (CSI) retrieved from commodity …

Deep convolutional neural networks for indoor localization with CSI images

X Wang, X Wang, S Mao - IEEE Transactions on Network …, 2018 - ieeexplore.ieee.org
With the increasing demand of location-based services, Wi-Fi based localization has
attracted great interest because it provides ubiquitous access in indoor environments. In this …

Wifi sensing on the edge: Signal processing techniques and challenges for real-world systems

SM Hernandez, E Bulut - IEEE Communications Surveys & …, 2022 - ieeexplore.ieee.org
In this work, we evaluate the feasibility of deploying ubiquitous WiFi sensing systems at the
edge and consider the applicability of existing techniques on constrained edge devices and …

A review of IoT-enabled mobile healthcare: technologies, challenges, and future trends

Y Yang, H Wang, R Jiang, X Guo… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT) has grown over decades to encompass many forms of sensing
modalities, and continues to improve in terms of sophistication and lower costs. The trend of …

No Radio Left Behind: Radio Fingerprinting Through Deep Learning of Physical-Layer Hardware Impairments

K Sankhe, M Belgiovine, F Zhou… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Due to the unprecedented scale of the Internet of Things, designing scalable, accurate,
energy-efficient and tamper-proof authentication mechanisms has now become more …

Contactless seismocardiography via deep learning radars

U Ha, S Assana, F Adib - Proceedings of the 26th annual international …, 2020 - dl.acm.org
The seismocardiogram (SCG) is a recording of a human heart's mechanical activity. It
captures fine-grained cardiovascular events such as the opening and closing of heart valves …