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 …

[HTML][HTML] Stress detection in daily life scenarios using smart phones and wearable sensors: A survey

YS Can, B Arnrich, C Ersoy - Journal of biomedical informatics, 2019 - Elsevier
Stress has become a significant cause for many diseases in the modern society. Recently,
smartphones, smartwatches and smart wrist-bands have become an integral part of our lives …

Deep learning in mental health outcome research: a sco** review

C Su, Z Xu, J Pathak, F Wang - Translational psychiatry, 2020 - nature.com
Mental illnesses, such as depression, are highly prevalent and have been shown to impact
an individual's physical health. Recently, artificial intelligence (AI) methods have been …

Abnormal respiratory patterns classifier may contribute to large-scale screening of people infected with COVID-19 in an accurate and unobtrusive manner

Y Wang, M Hu, Q Li, XP Zhang, G Zhai… - arxiv preprint arxiv …, 2020 - arxiv.org
Research significance: The extended version of this paper has been accepted by IEEE
Internet of Things journal (DOI: 10.1109/JIOT. 2020.2991456), please cite the journal …

Deep learning for predicting respiratory rate from biosignals

AK Kumar, M Ritam, L Han, S Guo… - Computers in biology and …, 2022 - Elsevier
In the past decade, deep learning models have been applied to bio-sensors used in a body
sensor network for prediction. Given recent innovations in this field, the prediction accuracy …

Stress and workload assessment in aviation—A narrative review

G Masi, G Amprimo, C Ferraris, L Priano - Sensors, 2023 - mdpi.com
In aviation, any detail can have massive consequences. Among the potential sources of
failure, human error is still the most troublesome to handle. Therefore, research concerning …

Biofeedback for everyday stress management: A systematic review

B Yu, M Funk, J Hu, Q Wang, L Feijs - Frontiers in ICT, 2018 - frontiersin.org
Background: Mainly due to an increase in stress-related health problems and driven by
recent technological advances in biosensors, microelectronics, computing platform, and …

AI-enabled remote monitoring of vital signs for COVID-19: methods, prospects and challenges

H Rohmetra, N Raghunath, P Narang, V Chamola… - Computing, 2023 - Springer
The COVID-19 pandemic has overwhelmed the existing healthcare infrastructure in many
parts of the world. Healthcare professionals are not only over-burdened but also at a high …

Long short term memory hyperparameter optimization for a neural network based emotion recognition framework

B Nakisa, MN Rastgoo, A Rakotonirainy, F Maire… - IEEE …, 2018 - ieeexplore.ieee.org
Recently, emotion recognition using low-cost wearable sensors based on
electroencephalogram and blood volume pulse has received much attention. Long short …

Robust tracking of respiratory rate in high-dynamic range scenes using mobile thermal imaging

Y Cho, SJ Julier, N Marquardt… - Biomedical optics …, 2017 - opg.optica.org
The ability to monitor the respiratory rate, one of the vital signs, is extremely important for the
medical treatment, healthcare and fitness sectors. In many situations, mobile methods, which …