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Next-generation wearable sensors for biopsychosocial care in mental health: a narrative review
16 references·0 citing·58 second hopsampled
Next-generation wearable sensors for biopsychosocial care in mental health: a narrative review (2025)Next-generation wearable sensors for biop…Engagement and retention in digital mental health interventions: a narrative review (2024)Engagement and retention in d…Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression (2023)Systematic review and meta-an…Digital therapeutics from bench to bedside (2023)Digital therapeutics from ben…Cognitive behavior therapy vs. control conditions, other psychotherapies, pharmacotherapies and combined treatment for depression: a comprehensive meta‐analysis including 409 trials with 52,702 patients (2023)Cognitive behavior therapy vs…A Survey on Wearable Sensors for Mental Health Monitoring (2023)A Survey on Wearable Sensors …Social Vulnerability and Mental Health Inequalities in the “Syndemic”: Call for Action (2022)Social Vulnerability and Ment…Quantifying the global burden of mental disorders and their economic value (2022)Quantifying the global burden…Digital health tools for the passive monitoring of depression: a systematic review of methods (2022)Digital health tools for the …Wearable, Environmental, and Smartphone-Based Passive Sensing for Mental Health Monitoring (2021)Wearable, Environmental, and …Technology‐mediated just‐in‐time adaptive interventions (JITAIs) to reduce harmful substance use: a systematic review (2021)Technology‐mediated just‐in‐t…Digital Biomarkers for Depression Screening With Wearable Devices: Cross-sectional Study With Machine Learning Modeling (2021)Digital Biomarkers for Depres…“Wearables only work on patients that wear them”: Barriers and facilitators to the adoption of wearable cardiac monitoring technologies (2021)“Wearables only work on patie…Classifying major depression patients and healthy controls using EEG, eye tracking and galvanic skin response data (2019)Classifying major depression …A Tipping Point for Measurement-Based Care (2016)A Tipping Point for Measureme…United We Stand: Emphasizing Commonalities Across Cognitive-Behavioral Therapies (2013)United We Stand: Emphasizing …Evidence-based therapy relationships: Research conclusions and clinical practices. 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References

  • 2011Evidence-based therapy relationships: Research conclusions and clinical practices.812 cited
  • 2022Quantifying the global burden of mental disorders and their economic value784 cited
  • 2016A Tipping Point for Measurement-Based Care568 cited
  • 2023Cognitive behavior therapy vs. control conditions, other psychotherapies, pharmacotherapies and combined treatment for depression: a comprehensive meta‐analysis including 409 trials with 52,702 patients352 cited
  • 2022Digital health tools for the passive monitoring of depression: a systematic review of methods226 cited
  • 2021Wearable, Environmental, and Smartphone-Based Passive Sensing for Mental Health Monitoring187 cited
  • 2024Engagement and retention in digital mental health interventions: a narrative review186 cited
  • 2023Digital therapeutics from bench to bedside185 cited
  • 2013United We Stand: Emphasizing Commonalities Across Cognitive-Behavioral Therapies172 cited
  • 2021Technology‐mediated just‐in‐time adaptive interventions (JITAIs) to reduce harmful substance use: a systematic review153 cited
  • 2021Digital Biomarkers for Depression Screening With Wearable Devices: Cross-sectional Study With Machine Learning Modeling151 cited
  • 2023Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression138 cited
  • 2023A Survey on Wearable Sensors for Mental Health Monitoring128 cited

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  • 2022Social Vulnerability and Mental Health Inequalities in the “Syndemic”: Call for Action124 cited
  • 2019Classifying major depression patients and healthy controls using EEG, eye tracking and galvanic skin response data123 cited
  • 2021“Wearables only work on patients that wear them”: Barriers and facilitators to the adoption of wearable cardiac monitoring technologies88 cited
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