Investigate the effectiveness of muscle function training to prevent oral frailty and develop a new individualized program

2023 Fiscal Year Final Research Report

• Project/Area Number: 19K10225
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 57050:Prosthodontics-related
• Research Institution: Okayama University
• Principal Investigator: Minakuchi Hajime 岡山大学, 大学病院, 講師 (30325097)
• Co-Investigator(Kenkyū-buntansha): 三木 春奈 岡山大学, 医歯薬学域, 助教 (60739902) ; 水口 真実 岡山大学, 大学病院, 医員 (20634489) ; 窪木 拓男 岡山大学, 医歯薬学域, 教授 (00225195)
• Project Period (FY): 2019-04-01 – 2024-03-31
• Keywords: 口腔機能 / 筋機能 / 筋電図 / 機械学習

Outline of Final Research Achievements

The purpose of this study was to evaluate the efficacy of functional training of oral functional muscles related to eating to prevent decline in chewing function. However, due to restrictions on contact with the elderly caused by the COVID-19 pandemic, it was difficult to conduct the originally planned clinical trial with the elderly. Therefore, we focused on a method of analyzing and identifying electromyogram data during various mandibular movements, which are oral functions similar to chewing movements, using machine learning, and examined the extent to which machine learning can identify electromyogram data during movements similar to chewing movements. The results showed that the machine learning-based identification system had high accuracy in discriminating between bruxism and non-bruxism using masseter muscle EMG.

Free Research Field

歯科補綴学

Academic Significance and Societal Importance of the Research Achievements

口腔機能の低下を抑止する目的の筋機能訓練の有効性を評価する目的であったが，今回，その前段階として口腔機能を筋電図から識別する手法の確立，その識別制度に関する検討を行った。本研究により，口腔機能運動を咬筋筋活動から識別できたことは，将来的に口腔機能を維持する目的で筋機能訓練を行い，それが奏功した症例と奏功しなかった症例を筋電図検査から客観的手法により簡便に識別できる新たなスキームにつながる可能性を有している。