[HTML][HTML] Wearable artificial intelligence for anxiety and depression: scoping review
Background Anxiety and depression are the most common mental disorders worldwide.
Owing to the lack of psychiatrists around the world, the incorporation of artificial intelligence …
Owing to the lack of psychiatrists around the world, the incorporation of artificial intelligence …
Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression
Given the limitations of traditional approaches, wearable artificial intelligence (AI) is one of
the technologies that have been exploited to detect or predict depression. The current …
the technologies that have been exploited to detect or predict depression. The current …
Designing daily-life research combining experience sampling method with parallel data
BackgroundAmbulatory monitoring is gaining popularity in mental and somatic health care
to capture an individual's wellbeing or treatment course in daily-life. Experience sampling …
to capture an individual's wellbeing or treatment course in daily-life. Experience sampling …
Digital phenotype of mood disorders: A conceptual and critical review
Background Mood disorders are commonly diagnosed and staged using clinical features
that rely merely on subjective data. The concept of digital phenotyping is based on the idea …
that rely merely on subjective data. The concept of digital phenotyping is based on the idea …
Actigraphically measured psychomotor slowing in depression: systematic review and meta-analysis
F Wüthrich, CB Nabb, VA Mittal, SA Shankman… - Psychological …, 2022 - cambridge.org
Psychomotor slowing is a key feature of depressive disorders. Despite its great clinical
importance, the pathophysiology and prevalence across different diagnoses and mood …
importance, the pathophysiology and prevalence across different diagnoses and mood …
Exploring the digital footprint of depression: a PRISMA systematic literature review of the empirical evidence
D Zarate, V Stavropoulos, M Ball, G de Sena Collier… - BMC psychiatry, 2022 - Springer
Background This PRISMA systematic literature review examined the use of digital data
collection methods (including ecological momentary assessment [EMA], experience …
collection methods (including ecological momentary assessment [EMA], experience …
Uncovering complexity details in actigraphy patterns to differentiate the depressed from the non-depressed
While the negative association between physical activity and depression has been well
established, it is unclear what precise characteristics of physical activity patterns explain this …
established, it is unclear what precise characteristics of physical activity patterns explain this …
Digital tools for the assessment of pharmacological treatment for depressive disorder: state of the art
Depression is an invalidating disorder, marked by phenotypic heterogeneity. Clinical
assessments for treatment adjustments and data-collection for pharmacological research …
assessments for treatment adjustments and data-collection for pharmacological research …
Hadd: High-accuracy detection of depressed mood
Y Liu, KD Kang, MJ Doe - Technologies, 2022 - mdpi.com
Depression is a serious mood disorder that is under-recognized and under-treated. Recent
advances in mobile/wearable technology and ML (machine learning) have provided …
advances in mobile/wearable technology and ML (machine learning) have provided …
Directional associations among real-time activity, sleep, mood, and daytime symptoms in major depressive disorder using actigraphy and ecological momentary …
Previous research has suggested that individuals with major depressive disorder (MDD)
experienced alterations in sleep and activity levels. However, the temporal associations …
experienced alterations in sleep and activity levels. However, the temporal associations …