A systematic review of IoT in healthcare: Applications, techniques, and trends

MH Kashani, M Madanipour, M Nikravan… - Journal of Network and …, 2021 - Elsevier
Abstract Internet of Things (IoT) is an ever-expanding ecosystem that integrates software,
hardware, physical objects, and computing devices to communicate, collect, and exchange …

Recent advancements in emerging technologies for healthcare management systems: a survey

SB Junaid, AA Imam, AO Balogun, LC De Silva… - Healthcare, 2022 - mdpi.com
In recent times, the growth of the Internet of Things (IoT), artificial intelligence (AI), and
Blockchain technologies have quickly gained pace as a new study niche in numerous …

A review on the role of machine learning in enabling IoT based healthcare applications

HK Bharadwaj, A Agarwal, V Chamola… - IEEE …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is playing a vital role in the rapid automation of the healthcare
sector. The branch of IoT dedicated towards medical science is at times termed as …

Homecare robotic systems for healthcare 4.0: Visions and enabling technologies

G Yang, Z Pang, MJ Deen, M Dong… - IEEE journal of …, 2020 - ieeexplore.ieee.org
Powered by the technologies that have originated from manufacturing, the fourth revolution
of healthcare technologies is happening (Healthcare 4.0). As an example of such revolution …

Fog computing enabling industrial internet of things: State-of-the-art and research challenges

R Basir, S Qaisar, M Ali, M Aldwairi, MI Ashraf… - Sensors, 2019 - mdpi.com
Industry is going through a transformation phase, enabling automation and data exchange
in manufacturing technologies and processes, and this transformation is called Industry 4.0 …

Real-time data-driven missing data imputation for short-term sensor data of marine systems. A comparative study

C Velasco-Gallego, I Lazakis - Ocean Engineering, 2020 - Elsevier
In the maritime industry, sensors are utilised to implement condition-based maintenance
(CBM) to assist decision-making processes for energy efficient operations of marine …

An approach towards increasing prediction accuracy for the recovery of missing IoT data based on the GRNN-SGTM ensemble

R Tkachenko, I Izonin, N Kryvinska, I Dronyuk, K Zub - Sensors, 2020 - mdpi.com
The purpose of this paper is to improve the accuracy of solving prediction tasks of the
missing IoT data recovery. To achieve this, the authors have developed a new ensemble of …

Optimal feature extraction and classification-oriented medical insurance prediction model: machine learning integrated with the internet of things

S Chowdhury, P Mayilvahanan… - International Journal of …, 2022 - Taylor & Francis
This paper plans to develop an effective machine learning system integrated with the
Internet of Things (IoT) to predict the health insurance amount. IoT in healthcare enables …

Long-term IoT-based maternal monitoring: system design and evaluation

F Sarhaddi, I Azimi, S Labbaf, H Niela-Vilén, N Dutt… - Sensors, 2021 - mdpi.com
Pregnancy is a unique time when many mothers gain awareness of their lifestyle and its
impacts on the fetus. High-quality care during pregnancy is needed to identify possible …

Pregnant women's daily patterns of well-being before and during the COVID-19 pandemic in Finland: Longitudinal monitoring through smartwatch technology

H Niela-Vilén, J Auxier, E Ekholm, F Sarhaddi… - PloS one, 2021 - journals.plos.org
Background Technology enables the continuous monitoring of personal health parameter
data during pregnancy regardless of the disruption of normal daily life patterns. Our research …