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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 …
Deep learning in mental health outcome research: a sco** review
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 …
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
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 …
Internet of Things journal (DOI: 10.1109/JIOT. 2020.2991456), please cite the journal …
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 …
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 …
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 …
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 …
Robust tracking of respiratory rate in high-dynamic range scenes using mobile thermal imaging
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 …
medical treatment, healthcare and fitness sectors. In many situations, mobile methods, which …