Balance Measures Derived from Insole Sensor Differentiate Prodromal Dementia with Lewy Bodies

• URL: http://arxiv.org/abs/2309.08623v1
• Date: Mon, 11 Sep 2023 08:46:36 GMT
• Title: Balance Measures Derived from Insole Sensor Differentiate Prodromal Dementia with Lewy Bodies
• Authors: Masatomo Kobayashi, Yasunori Yamada, Kaoru Shinkawa, Miyuki Nemoto, Miho Ota, Kiyotaka Nemoto, Tetsuaki Arai
• Abstract summary: We propose a machine learning-based automatic pipeline that helps identify mild cognitive impairment due to Lewy bodies (MCI-LB) Experiment with 98 participants showed that the resultant models could discriminate MCI-LB from the other groups with up to 78.0% accuracy. Our findings may open up a new approach for timely identification of MCI-LB, enabling better care for patients.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Dementia with Lewy bodies is the second most common type of neurodegenerative dementia, and identification at the prodromal stage$-$i.e., mild cognitive impairment due to Lewy bodies (MCI-LB)$-$is important for providing appropriate care. However, MCI-LB is often underrecognized because of its diversity in clinical manifestations and similarities with other conditions such as mild cognitive impairment due to Alzheimer's disease (MCI-AD). In this study, we propose a machine learning-based automatic pipeline that helps identify MCI-LB by exploiting balance measures acquired with an insole sensor during a 30-s standing task. An experiment with 98 participants (14 MCI-LB, 38 MCI-AD, 46 cognitively normal) showed that the resultant models could discriminate MCI-LB from the other groups with up to 78.0% accuracy (AUC: 0.681), which was 6.8% better than the accuracy of a reference model based on demographic and clinical neuropsychological measures. Our findings may open up a new approach for timely identification of MCI-LB, enabling better care for patients.

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