研究者業績
基本情報
- 所属
- 藤田医科大学 医学部 教授
- 学位
- 博士(医学)(慶應義塾大学)
- ORCID ID
https://orcid.org/0000-0002-6797-2782- J-GLOBAL ID
- 200901082744312196
- researchmap会員ID
- 5000105285
研究分野
1経歴
9-
2024年2月 - 現在
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2019年4月 - 現在
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2017年4月 - 2019年8月
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2011年10月 - 2017年3月
学歴
1-
1991年4月 - 1997年3月
論文
275-
Archives of Physical Medicine and Rehabilitation 2026年1月
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Scientific reports 15(1) 41696-41696 2025年11月24日 査読有りWe aimed to evaluate the applicability of a newly developed joint angle measurement system comprising six-axis inertial measurement unit sensors and tablet-based application for estimating joint angles from angular velocity and acceleration data. The application calculated orientation angles from single sensor data, with relative angles calculated using multiple sensors. In experiment 1, validity and reliability were examined using a test device. In experiment 2, static angles of five joints were calculated in four healthy participants using attached sensors and compared with universal goniometer values. In experiment 3, usability and satisfaction were evaluated using the System Usability Scale (SUS) and Quebec User Evaluation of Satisfaction with Assistive Technology (QUEST)-like scale. In experiment 1, mean difference and root mean squared error (RMSE) between the developed system and test device were < 0.2° and < 1.0°, respectively, across all axes. In experiment 2, when data from all joints were pooled, mean difference and RMSE were 0.2° and 3.8°, respectively. Mean difference and RMSE across each joint were < 5°, indicating the system is comparable to universal goniometer. In experiment 3, median SUS and QUEST-like scores were 73.8 and 4.0, respectively, indicating good usability and satisfaction. The developed system has high accuracy and sufficient validity for human joint angles, with good usability and satisfaction.
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Computer Methods in Biomechanics and Biomedical Engineering 2025年11月7日 査読有り
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Fujita medical journal 11(4) 165-169 2025年11月 査読有りOBJECTIVES: A new classification of heart failure based on the effects of medication has recently come into use. According to this classification, heart failure is divided into heart failure with normal ejection fraction (HFnEF; defined as an EF ≥55% for men and ≥60% for women) and non-HFnEF. However, the characteristics of patients with HFnEF are still unclear. Accordingly, in this study, we sought to identify the background characteristics, including non-cardiac factors, of patients with HFnEF. METHODS: We retrospectively divided 304 eligible patients who were hospitalized for worsening heart failure at our institution between December 2020 and December 2022 into an HFnEF group (n=37) and a non-HFnEF group (n=267) and compared their demographic and clinical characteristics. RESULTS: There were more elderly patients in the non-HFnEF group, along with fewer patients with coronary artery disease and low serum hemoglobin and NT-proBNP levels and a higher proportion of patients with a low skeletal muscle index (<7.0 kg/m2 for men and <5.7 kg/m2 for women). Multivariate analysis with addition of patient sex identified a low skeletal muscle index (odds ratio 2.96, p<0.01) to be an independent determinant of HFnEF along with older age and low NT-proBNP. CONCLUSIONS: A low skeletal muscle index was significantly more common in patients with HFnEF than in those with non-HFnEF. Intensive nutrition and exercise therapy to increase skeletal muscle mass may improve the prognosis in patients with HFnEF who respond poorly to standard pharmacological treatment.
MISC
958-
月刊ナーシング 25(14) 51-53 2005年12月
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臨床歩行分析研究会定例会抄録集 27回 38-39 2005年12月転倒の様式としてもっとも頻度が多いつまずきに着目し,繰り返しの実験が可能なトレッドミル上において,ヒトが障害物につまずいた際の動作の分析を試みた.71回のつまずきのなかで,2回がElevating strategyでその他は,全てLowering strategyであった.上下肢ともにつまずきの約100ms以降に,strategyに関係すると思われる軌跡の変化を認めた.つまずき後は,歩行の位相が若干進むことが多かった.障害物の形状や大きさによって最終的に観察されるstrategyは異なることが示唆された
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現代のエスプリ (430) 118-127 2003年5月
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リハビリテーション医学 37(11) 854-854 2000年11月
書籍等出版物
38共同研究・競争的資金等の研究課題
22-
日本学術振興会 科学研究費助成事業 2025年4月 - 2029年3月
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日本学術振興会 科学研究費助成事業 2025年4月 - 2028年3月
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日本学術振興会 科学研究費助成事業 2024年4月 - 2028年3月
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戦略的イノベーション創造プログラム(SIP)第3期:人協調型ロボティクスの拡大に向けた基盤技術・ルールの整備 2023年 - 2028年
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日本学術振興会 科学研究費助成事業 2024年4月 - 2027年3月