SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Investigating the Feasibility of Assessing Depression Severity and Valence-Arousal with Wearable Sensors Using Discrete Wavelet Transforms and Machine Learning
14 references·0 citing·55 second hopsampled
Investigating the Feasibility of Assessing Depression Severity and Valence-Arousal with Wearable Sensors Using Discrete Wavelet Transforms and Machine Learning (2022)Investigating the Feasibility of Assessin…Natural language processing applied to mental illness detection: a narrative review (2022)Natural language processing a…Digital health tools for the passive monitoring of depression: a systematic review of methods (2022)Digital health tools for the …Depression and anxiety during COVID-19 (2022)Depression and anxiety during…A Machine Learning Approach for Detecting Digital Behavioral Patterns of Depression Using Nonintrusive Smartphone Data (Complementary Path to Patient Health Questionnaire-9 Assessment): Prospective Observational Study (2022)A Machine Learning Approach f…Smart Devices and Wearable Technologies to Detect and Monitor Mental Health Conditions and Stress: A Systematic Review (2021)Smart Devices and Wearable Te…Predicting Symptoms of Depression and Anxiety Using Smartphone and Wearable Data (2021)Predicting Symptoms of Depres…Digital Biomarkers for Depression Screening With Wearable Devices: Cross-sectional Study With Machine Learning Modeling (2021)Digital Biomarkers for Depres…Detecting Depression and Predicting its Onset Using Longitudinal Symptoms Captured by Passive Sensing (2021)Detecting Depression and Pred…Current Advances in Wearable Devices and Their Sensors in Patients With Depression (2021)Current Advances in Wearable …A dataset of daily ambulatory psychological and physiological recording for emotion research (2021)A dataset of daily ambulatory…Passive Sensing of Prediction of Moment-To-Moment Depressed Mood among Undergraduates with Clinical Levels of Depression Sample Using Smartphones (2020)Passive Sensing of Prediction…Findings From World Mental Health Surveys of the Perceived Helpfulness of Treatment for Patients With Major Depressive Disorder (2020)Findings From World Mental He…Mobile Sensing and Support for People With Depression: A Pilot Trial in the Wild (2016)Mobile Sensing and Support fo…Core affect and the psychological construction of emotion. (2003)Core affect and the psycholog…Attachment and Loss (1969)Judgment under Uncertainty: Heuristics and Biases (1975)A circumplex model of affect. (1980)Reflective and Impulsive Determinants of Social Behavior (2004)Developments in the Measurement of Subjective Well-Being (2006)Emotion Regulation: Current Status and Future Prospects (2015)Reality mining: sensing complex social systems (2005)The empirical status of cognitive-behavioral therapy: A review of meta-analyses (2005)The Gamification of Learning and Instruction: Game-based Methods and Strategies for Training and Education (2012)Tracking Depression Dynamics in College Students Using Mobile Phone and Wearable Sensing (2018)Toward clinical digital phenotyping: a timely opportunity to consider purpose, quality, and safety (2019)A Call to Action on Assessing and Mitigating Bias in Artificial Intelligence Applications for Mental Health (2022)Depression Anxiety Stress Scales (1995)Psychometric properties of the Depression Anxiety Stress Scales (DASS) in clinical samples (1997)Loneliness as a specific risk factor for depressive symptoms: Cross-sectional and longitudinal analyses. (2006)Ecological momentary interventions for mental health: A scoping review (2021)Wearable, Environmental, and Smartphone-Based Passive Sensing for Mental Health Monitoring (2021)Digital Phenotyping for Monitoring Mental Disorders: Systematic Review (2023)A New Depression Scale Designed to be Sensitive to Change (1979)Cognitive Therapy for Depression (2012)Diagnostic and Statistical Manual of Mental Disorders (2013)GLOBEM (2022)Fusing Wearable Biosensors with Artificial Intelligence for Mental Health Monitoring: A Systematic Review (2025)The structure of negative emotional states: Comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories (1995)Psychometric properties of the 42-item and 21-item versions of the Depression Anxiety Stress Scales in clinical groups and a community sample. (1998)Acceptance towards digital health interventions – Model validation and further development of the Unified Theory of Acceptance and Use of Technology (2021)Digital interventions for the treatment of depression: A meta-analytic review. (2021)Predicting Depression From Smartphone Behavioral Markers Using Machine Learning Methods, Hyperparameter Optimization, and Feature Importance Analysis: Exploratory Study (2021)Ecological Momentary Assessment (2007)Qualitative research synthesis (2015)Continuous Stress Detection Using Wearable Sensors in Real Life: Algorithmic Programming Contest Case Study (2019)A Survey on Wearable Sensors for Mental Health Monitoring (2023)Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches (2024)Two new Later Stone Age sites from the Final Pleistocene in the Falémé Valley, eastern Senegal (2024)The revised UCLA Loneliness Scale: Concurrent and discriminant validity evidence. (1980)The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research (1989)Impact of COVID-19 pandemic on mental health in the general population: A systematic review (2020)Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review (2022)Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression (2023)Trajectories of anxiety and depressive symptoms during enforced isolation due to COVID-19 in England: a longitudinal observational study (2020)A systematic review and meta-analysis of longitudinal cohort studies comparing mental health before versus during the COVID-19 pandemic in 2020 (2021)Global prevalence and burden of depressive and anxiety disorders in 204 countries and territories in 2020 due to the COVID-19 pandemic (2021)Understanding determinants of COVID-19 vaccine hesitancy; an emphasis on the role of religious affiliation and individual’s reliance on traditional remedy (2022)Research on digital tool in cognitive assessment: a bibliometric analysis (2023)Psychological resilience and hardiness as protective factors in the relationship between depression/anxiety and well-being: Exploratory and confirmatory evidence (2024)The CES-D Scale (1977)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD): recruitment, retention, and data availability in a longitudinal remote measurement study (2022)Evaluating Conversational Agents for Mental Health: Scoping Review of Outcomes and Outcome Measurement Instruments (2023)Passive Sensing for Mental Health Monitoring Using Machine Learning With Wearables and Smartphones: Scoping Review (2025)The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods (2009)Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement (2015)Do AI chatbots improve students learning outcomes? Evidence from a meta‐analysis (2023)Towards Interpretable Mental Health Analysis with Large Language Models (2023)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 2003Core affect and the psychological construction of emotion.6,579 cited
  • 2022Natural language processing applied to mental illness detection: a narrative review474 cited
  • 2016Mobile Sensing and Support for People With Depression: A Pilot Trial in the Wild334 cited
  • 2021Smart Devices and Wearable Technologies to Detect and Monitor Mental Health Conditions and Stress: A Systematic Review330 cited
  • 2021Predicting Symptoms of Depression and Anxiety Using Smartphone and Wearable Data271 cited
  • 2022Depression and anxiety during COVID-19237 cited
  • 2022Digital health tools for the passive monitoring of depression: a systematic review of methods235 cited
  • 2021Digital Biomarkers for Depression Screening With Wearable Devices: Cross-sectional Study With Machine Learning Modeling151 cited
  • 2020Passive Sensing of Prediction of Moment-To-Moment Depressed Mood among Undergraduates with Clinical Levels of Depression Sample Using Smartphones139 cited
  • 2021Detecting Depression and Predicting its Onset Using Longitudinal Symptoms Captured by Passive Sensing136 cited
  • 2021Current Advances in Wearable Devices and Their Sensors in Patients With Depression116 cited
  • 2020Findings From World Mental Health Surveys of the Perceived Helpfulness of Treatment for Patients With Major Depressive Disorder100 cited
  • 2021A dataset of daily ambulatory psychological and physiological recording for emotion research53 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2022A Machine Learning Approach for Detecting Digital Behavioral Patterns of Depression Using Nonintrusive Smartphone Data (Complementary Path to Patient Health Questionnaire-9 Assessment): Prospective Observational Study30 cited
  • Cited by

    No citing works inside the corpus for this window.