Machine learning in mental health: a scoping review of methods and applications
BackgroundThis paper aims to synthesise the literature on machine learning (ML) and big
data applications for mental health, highlighting current research and applications in …
data applications for mental health, highlighting current research and applications in …
Stress detection using ECG and EMG signals: A comprehensive study
S Pourmohammadi, A Maleki - Computer methods and programs in …, 2020 - Elsevier
Abstract Background and Objective In recent years, stress and mental health have been
considered as important worldwide concerns. Stress detection using physiological signals …
considered as important worldwide concerns. Stress detection using physiological signals …
Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare
Abstract Internet of Things (IoT) offers a seamless platform to connect people and objects to
one another for enriching and making our lives easier. This vision carries us from compute …
one another for enriching and making our lives easier. This vision carries us from compute …
Behavioral modeling for mental health using machine learning algorithms
M Srividya, S Mohanavalli, N Bhalaji - Journal of medical systems, 2018 - Springer
Mental health is an indicator of emotional, psychological and social well-being of an
individual. It determines how an individual thinks, feels and handle situations. Positive …
individual. It determines how an individual thinks, feels and handle situations. Positive …
[HTML][HTML] Generalizable machine learning for stress monitoring from wearable devices: A systematic literature review
Introduction Wearable sensors have shown promise as a non-intrusive method for collecting
biomarkers that may correlate with levels of elevated stress. Stressors cause a variety of …
biomarkers that may correlate with levels of elevated stress. Stressors cause a variety of …
Large-scale wearable data reveal digital phenotypes for daily-life stress detection
E Smets, E Rios Velazquez, G Schiavone… - NPJ digital …, 2018 - nature.com
Physiological signals have shown to be reliable indicators of stress in laboratory studies, yet
large-scale ambulatory validation is lacking. We present a large-scale cross-sectional study …
large-scale ambulatory validation is lacking. We present a large-scale cross-sectional study …
[Retracted] Employing Multimodal Machine Learning for Stress Detection
In the current information age, the human lifestyle has become more knowledge‐oriented,
leading to sedentary employment. This has given rise to a number of health and mental …
leading to sedentary employment. This has given rise to a number of health and mental …
Physiological and behavior monitoring systems for smart healthcare environments: A review
Healthcare optimization has become increasingly important in the current era, where
numerous challenges are posed by population ageing phenomena and the demand for …
numerous challenges are posed by population ageing phenomena and the demand for …
Into the wild: the challenges of physiological stress detection in laboratory and ambulatory settings
E Smets, W De Raedt… - IEEE journal of biomedical …, 2018 - ieeexplore.ieee.org
Stress and mental health have become major concerns worldwide. Research has already
extensively investigated physiological signals as quantitative and continuous markers of …
extensively investigated physiological signals as quantitative and continuous markers of …
Cognitive training and stress detection in mci frail older people through wearable sensors and machine learning
F Delmastro, F Di Martino, C Dolciotti - Ieee Access, 2020 - ieeexplore.ieee.org
Personalised training of motor and cognitive abilities is fundamental to help older people
maintain a good quality of life, especially in case of frailty conditions. However, the training …
maintain a good quality of life, especially in case of frailty conditions. However, the training …