Remote patient monitoring using artificial intelligence: Current state, applications, and challenges
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 …
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
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 …
smartphones, smartwatches and smart wrist-bands have become an integral part of our lives …
Abnormal respiratory patterns classifier may contribute to large-scale screening of people infected with COVID-19 in an accurate and unobtrusive manner
Deep learning for predicting respiratory rate from biosignals
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 …
sensor network for prediction. Given recent innovations in this field, the prediction accuracy …
Biofeedback for everyday stress management: A systematic review
Background: Mainly due to an increase in stress-related health problems and driven by
recent technological advances in biosensors, microelectronics, computing platform, and …
recent technological advances in biosensors, microelectronics, computing platform, and …
AI-enabled remote monitoring of vital signs for COVID-19: methods, prospects and challenges
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 …
parts of the world. Healthcare professionals are not only over-burdened but also at a high …
Stress and workload assessment in aviation—a narrative review
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 …
failure, human error is still the most troublesome to handle. Therefore, research concerning …
The benefit of distraction: Denoising camera-based physiological measurements using inverse attention
Attention networks perform well on diverse computer vision tasks. The core idea is that the
signal of interest is stronger in some pixels (" foreground"), and by selectively focusing …
signal of interest is stronger in some pixels (" foreground"), and by selectively focusing …
Long short term memory hyperparameter optimization for a neural network based emotion recognition framework
Recently, emotion recognition using low-cost wearable sensors based on
electroencephalogram and blood volume pulse has received much attention. Long short …
electroencephalogram and blood volume pulse has received much attention. Long short …