Cross-cultural Evaluation of Dementia Passive BCI Neuro-biomarker Candidates
Cross-cultural Evaluation of Dementia Passive BCI Neuro-biomarker Candidates
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DOI：
10.1109/scisisis55246.2022.10002105
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发表时间：
2022-11
期刊：
影响因子：
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通讯作者：
Tomasz M. Rutkowski;Stanislaw Narebski;Piotr Bekier;Tomasz Komendziński;Hikaru Sugimoto;M. Otake-Matsuura
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文献类型：
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作者：
Tomasz M. Rutkowski;Stanislaw Narebski;Piotr Bekier;Tomasz Komendziński;Hikaru Sugimoto;M. Otake-Matsuura
在所谓的“AI for social good”环境中，考虑到神经生理数据集中的跨文化影响，成功的无监督聚类方法的实施将允许有效的痴呆数字神经生物标志物开发，用于世界上许多国家可能的认知衰退的早发性预后。我们提出了一个令人鼓舞的初步研究，在日本和波兰的跨文化EEG数据收集使用相同的实验范式学习面部情绪和评估老年参与者与各种认知衰退阶段。我们还比较了两种可穿戴EEG设备，并推导出θ波段波动。接下来，我们聚类得到的波动特征，使用无监督技术的均匀流形逼近和投影（UMAP）在面部情感视频剪辑判断学习和评估会议与日本和波兰老年参与者。在所提出的试点研究中，我们报告的结果，从35个日本和26个波兰老年志愿者指示学习评估面部情绪。记录的试点项目展示了人工智能（AI）应用于早发性痴呆预后的重要社会和跨文化评估方法。
A successful unsupervised clustering methodology implementation, taking into account cross-cultural effects in neurophysiological datasets, in a so-called ‘AI for social good’ environment shall allow for an efficient dementia digital neuro–biomarker development for early-onset prognosis of a possible cognitive decline in many countries around the world. We present an encouraging initial study of a cross-cultural EEG data collection in Japan and Poland using the same experimental paradigm of learning facial emotion and evaluating elderly participants with various cognitive decline stages. We also compared two wearable EEG devices and derived theta-band fluctuations. Next, we cluster the obtained fluctuation features using an unsupervised technique of uniform manifold approximation and projection (UMAP) in the facial emotion video-clip judgment learning and evaluation sessions with Japanese and Polish elderly participants. In the presented pilot study, we report findings from thirty-five Japanese and twenty-six Polish elderly volunteers instructed to learn to evaluate facial emotions. The documented pilot project showcases vital social and cross-culturally evaluated methodology of artificial intelligence (AI) application for an early-onset dementia prognosis.