Smart devices and wearable technologies to detect and monitor mental health conditions and stress: A systematic review
Recently, there has been an increase in the production of devices to monitor mental health
and stress as means for expediting detection, and subsequent management of these …
and stress as means for expediting detection, and subsequent management of these …
Digital human modeling: a review and reappraisal of origins, present, and expected future methods for representing humans computationally
The effective use of computational modeling and simulation tools early in the design process
is arguably becoming a gold standard for modern product development. Compared to many …
is arguably becoming a gold standard for modern product development. Compared to many …
[PDF][PDF] A scoping review on monitoring mental health using smart wearable devices
N Long, Y Lei, L Peng, P Xu, P Mao - Math. Biosci. Eng, 2022 - aimspress.com
With the continuous development of the times, social competition is becoming increasingly
fierce, people are facing enormous pressure and mental health problems have become …
fierce, people are facing enormous pressure and mental health problems have become …
The effects of the driver's mental state and passenger compartment conditions on driving performance and driving stress
Globalization has increased the number of road trips and vehicles. The result has been an
intensification of traffic accidents, which are becoming one of the most important causes of …
intensification of traffic accidents, which are becoming one of the most important causes of …
Multi-task learning for randomized controlled trials: a case study on predicting depression with wearable data
A randomized controlled trial (RCT) is used to study the safety and efficacy of new
treatments, by comparing patient outcomes of an intervention group with a control group …
treatments, by comparing patient outcomes of an intervention group with a control group …
Self-Management of Subclinical Common Mental Health Disorders (Anxiety, Depression and Sleep Disorders) Using Wearable Devices
T Robinson, J Condell, E Ramsey… - International journal of …, 2023 - mdpi.com
Rationale: Common mental health disorders (CMD)(anxiety, depression, and sleep
disorders) are among the leading causes of disease burden globally. The economic burden …
disorders) are among the leading causes of disease burden globally. The economic burden …
Sample-entropy-based method for real driving fatigue detection with multichannel electroencephalogram
T Zhang, J Chen, E He, H Wang - Applied Sciences, 2021 - mdpi.com
Safe driving plays a crucial role in public health, and driver fatigue causes a large proportion
of crashes in road driving. Hence, this paper presents the development of an efficient system …
of crashes in road driving. Hence, this paper presents the development of an efficient system …
Digital phenotypes and digital biomarkers for health and diseases: a systematic review of machine learning approaches utilizing passive non-invasive signals …
Passive non-invasive sensing signals from wearable devices and smartphones are typically
collected continuously without user input. This passive and continuous data collection …
collected continuously without user input. This passive and continuous data collection …
A comfort quantification method based on semi-supervised learning for automated vehicle at lane change scenarios
This paper systematically investigates a passenger comfort quantification model for
automated vehicle by integrating attention mechanism-based bidirectional long short-term …
automated vehicle by integrating attention mechanism-based bidirectional long short-term …
Detecting mental disorders with wearables: A large cohort study
Depression and anxiety are among the most prevalent mental disorders, and they are
usually interconnected. Although these mental disorders have drawn increasing attention …
usually interconnected. Although these mental disorders have drawn increasing attention …