42 citations · 58 across the 6 of their papers we have counts for
4 papers · 1 filter
End-to-End Machine Learning for Depressive State Classification via EEG and fNIRS
Riki Sakurai, Simon Kojima, Mihoko Otake-Matsuura +2
The escalating demand for mental healthcare, driven by rising societal stress, highlights the limitations of traditional psychiatric diagnostics. Conventional methods - relying pri…
Early Detection of Cognitive Impairment in Elderly using a Passive FPVS-EEG BCI and Machine Learning -- Extended Version
Tomasz M. Rutkowski, Stanisław Narębski, Mihoko Otake-Matsuura +1
Early dementia diagnosis requires biomarkers sensitive to both structural and functional brain changes. While structural neuroimaging biomarkers have progressed significantly, obje…
Cognitive Assessment Estimation from Behavioral Responses in Emotional Faces Evaluation Task -- AI Regression Approach for Dementia Onset Prediction in Aging Societies
Tomasz M. Rutkowski, Masato S. Abe, Marcin Koculak +1
We present a practical health-theme machine learning (ML) application concerning `AI for social good' domain for `Producing Good Outcomes' track. In particular, the solution is con…
Brain correlates of task-load and dementia elucidation with tensor machine learning using oddball BCI paradigm
Tomasz M. Rutkowski, Marcin Koculak, Masato S. Abe +1
Dementia in the elderly has recently become the most usual cause of cognitive decline. The proliferation of dementia cases in aging societies creates a remarkable economic as well…