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Stress detection using ECG and EMG signals: A comprehensive study
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 …
Power consumption analysis, measurement, management, and issues: A state-of-the-art review of smartphone battery and energy usage
The advancement and popularity of smartphones have made it an essential and all-purpose
device. But lack of advancement in battery technology has held back its optimum potential …
device. But lack of advancement in battery technology has held back its optimum potential …
A common factors perspective on mindfulness-based interventions
SB Goldberg - Nature Reviews Psychology, 2022 - nature.com
Mindfulness-based interventions (MBIs) have entered mainstream Western culture in the
past four decades. There are now dozens of MBIs with varying degrees of empirical support …
past four decades. There are now dozens of MBIs with varying degrees of empirical support …
[HTML][HTML] Digital phenoty** of mental health using multimodal sensing of multiple situations of interest: A systematic literature review
Many studies have used Digital Phenoty** of Mental Health (DPMH) to complement
classic methods of mental health assessment and monitoring. This research area proposes …
classic methods of mental health assessment and monitoring. This research area proposes …
Digital biomarkers of anxiety disorder symptom changes: Personalized deep learning models using smartphone sensors accurately predict anxiety symptoms from …
NC Jacobson, S Bhattacharya - Behaviour Research and Therapy, 2022 - Elsevier
Smartphones are capable of passively capturing persons' social interactions, movement
patterns, physiological activation, and physical environment. Nevertheless, little research …
patterns, physiological activation, and physical environment. Nevertheless, little research …
[HTML][HTML] Digital phenoty** for stress, anxiety, and mild depression: systematic literature review
Background: Unaddressed early-stage mental health issues, including stress, anxiety, and
mild depression, can become a burden for individuals in the long term. Digital phenoty** …
mild depression, can become a burden for individuals in the long term. Digital phenoty** …
A novel multi-modal depression detection approach based on mobile crowd sensing and task-based mechanisms
Depression has become a global concern, and COVID-19 also has caused a big surge in its
incidence. Broadly, there are two primary methods of detecting depression: Task-based and …
incidence. Broadly, there are two primary methods of detecting depression: Task-based and …
Potential applications of mobile and wearable devices for psychological support during the COVID-19 pandemic: A review
The coronavirus disease 19 (COVID-19) pandemic that has been raging in 2020 does affect
not only the physical state but also the mental health of the general population, particularly …
not only the physical state but also the mental health of the general population, particularly …
Centrality measures in psychological networks: A simulation study on identifying effective treatment targets
The network theory of psychopathology suggests that symptoms in a disorder form a network
and that identifying central symptoms within this network might be important for an effective …
and that identifying central symptoms within this network might be important for an effective …
[HTML][HTML] Smartphone-tracked digital markers of momentary subjective stress in college students: idiographic machine learning analysis
Background Stress is an important predictor of mental health problems such as burnout and
depression. Acute stress is considered adaptive, whereas chronic stress is viewed as …
depression. Acute stress is considered adaptive, whereas chronic stress is viewed as …