Wearable brain-imaging devices have been developed to meet the growing demand in the healthcare industry for long-term monitoring of brain signals in natural conditions, such as monitoring brain diseases and emotions. However, conventional EEG and fNIRS (functional near-infrared spectroscopy) devices are often expensiv...
Depressive symptoms are prevalent in university students, yet scalable screening is constrained by self-report and intermittent assessment. Wearable monitoring of motion and light offers an objective alternative, though their combined screening characterization is limited. Undergraduate volunteers wore a self-designed...
Guan-Xiang Ding, Qi-Zhi Zhao, Lin-Xin Zou et al.· Biosensors· 0 citations
BACKGROUND
Remotely captured spoken language could provide objective, regular indicators of depression symptom severity. However, research to date has largely used non-clinical, cross-sectional written language and complex machine learning (ML) approaches with limited interpretability.
METHODS
We used linear mixed-ef...
A. Tokareva, J. Dineley, Z. Firth et al.· Journal of Affective Disorde...· 0 citations
Depression symptom severity was associated with five lexical features, including reductions in word count measures, use of first-person plural pronouns and positive word frequency, andLexical features and vector embeddings did improve prediction accuracy beyond baseline models.
A. Tokareva, J. Dineley, Z. Firth et al.· arXiv.org· 0 citations
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