ReviewBrain sciences2019
Assessing Anxiety Disorders Using Wearable Devices: Challenges and Future Directions.
Review in Brain sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 4 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
26 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Wearable Artificial Intelligence for Detecting Anxiety: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2023Pooled it
- Self-Management of Subclinical Common Mental Health Disorders (Anxiety, Depression and Sleep Disorders) Using Wearable Devices.International journal of environmental research and public health · 2023Pooled it
- A Survey on Wearable Sensors for Mental Health Monitoring.Sensors (Basel, Switzerland) · 2023Pooled it
- Smart Devices and Wearable Technologies to Detect and Monitor Mental Health Conditions and Stress: A Systematic Review.Sensors (Basel, Switzerland) · 2021Pooled it
- Lighting effects on optimal facial regions for remote heart rate measurement.NPJ cardiovascular health · 2026Article
- Low-Burden Detection of Clinical Worsening in Body Dysmorphic Disorder Using Smartphone Sensor and Demographic Data.Behavior therapy · 2026Observational
- Wearable devices for anxiety assessment: a systematic review.Communications medicine · 2026Article
- Bio-signal induced emotion monitoring and detection of anxiety: A sensor-driven approach with regression based random forest.MethodsX · 2025Article
- Relationship between the use of smart medical services and mental health status.World journal of psychiatry · 2025Article
- Brain temporal dynamics correlate with clinical traits, spontaneous arm movements, and recovery in middle cerebral artery stroke.Frontiers in human neuroscience · 2025Article
- Optimal facial regions for remote heart rate measurement during physical and cognitive activities.NPJ cardiovascular health · 2024Article
- The Role of Artificial Intelligence in Identifying Depression and Anxiety: A Comprehensive Literature Review.Cureus · 2024Review
- Enhancing ECG-based heart age: impact of acquisition parameters and generalization strategies for varying signal morphologies and corruptions.Frontiers in cardiovascular medicine · 2024Article
- Review
- Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review.Journal of medical Internet research · 2023Article
- Wearable devices for anxiety & depression: A scoping review.Computer methods and programs in biomedicine update · 2023Article
- Heart and Breathing Rate Variations as Biomarkers for Anxiety Detection.Bioengineering (Basel, Switzerland) · 2022Article
- Past, Present and Future of Research on Wearable Technologies for Healthcare: A Bibliometric Analysis Using Scopus.Sensors (Basel, Switzerland) · 2022Review
- Panic Attack Prediction Using Wearable Devices and Machine Learning: Development and Cohort Study.JMIR medical informatics · 2022Article
- QT interval is correlated with and can predict the comorbidity of depression and anxiety: A cross-sectional study on outpatients with first-episode depression.Frontiers in cardiovascular medicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Wearable devices (WD) are starting to increasingly be used for interventions to promote well-being by reducing anxiety disorders (AD). Electrocardiogram (ECG) signal is one of the most commonly used biosignals for assessing the cardiovascular system as it significantly reflects the activity of the autonomic nervous system during emotional changes. Little is known about the accuracy of using ECG features for detecting ADs. Moreover, during our literature review, a limited number of studies were found that involve ECG collection using WD for promoting mental well-being. Thus, for the sake of validating the reliability of ECG features for detecting anxiety in WD, we screened 1040 articles, and only 22 were considered for our study; specifically 6 on panic, 4 on post-traumatic stress, 4 on generalized anxiety, 3 on social, 3 on mixed, and 2 on obsessive-compulsive anxiety disorder articles. Most experimental studies had controversial results. Upon reviewing each of these papers, it became apparent that the use of ECG features for detecting different types of anxiety is controversial, and the use of ECG-WD is an emerging area of research, with limited evidence suggesting its reliability. Due to the clinical nature of most studies, it is difficult to determine the specific impact of ECG features on detecting ADs, suggesting the need for more robust studies following our proposed recommendations.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.