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dc.contributor.author | Yano, Shunpei | en |
dc.contributor.author | Nakamura, Akihiro | en |
dc.contributor.author | Suzuki, Yasuyuki | en |
dc.contributor.author | Smith, Charles E. | en |
dc.contributor.author | Nomura, Taishin | en |
dc.contributor.alternative | 矢野, 峻平 | ja |
dc.contributor.alternative | 中村, 晃大 | ja |
dc.contributor.alternative | 鈴木, 康之 | ja |
dc.contributor.alternative | スミス, チャールズ | ja |
dc.contributor.alternative | 野村, 泰伸 | ja |
dc.date.accessioned | 2024-10-15T06:58:39Z | - |
dc.date.available | 2024-10-15T06:58:39Z | - |
dc.date.issued | 2024-07-16 | - |
dc.identifier.uri | http://hdl.handle.net/2433/289894 | - |
dc.description | 歩きスマホによる内因性転倒リスクの増大 --見えていない段差等外因性要因だけじゃない-- .京都大学プレスリリース. 2024-07-19. | ja |
dc.description.abstract | Gait cycle variability during steady walking, described by the stride interval time series, has been used as a gait-stability-related measure. In particular, the positive persistency in the stride intervals with 1/f-like fluctuation and reduction of the persistency are the well-documented metrics that can characterize gait patterns of healthy young adults and elderly including patients with neurological diseases, respectively. Here, we examined effects of a dual task on gait cycle variability in healthy young adults, based on the mean and standard deviation statistics as well as the positive persistency of the stride intervals during steady walking on a treadmill. Specifically, three gait conditions were examined: control condition, non-cognitive task with holding a smartphone in front of the chest using their dominant hand and looking fixedly at a blank screen of the smartphone, and cognitive motor task with holding a smartphone as in the non-cognitive task and playing a puzzle game displayed on the smartphone by one-thumb operation. We showed that only the positive persistency, not the mean and standard deviation statistics, was affected by the cognitive and motor load of smartphone usage in the cognitive condition. More specifically, the positive persistency exhibited in the control and the non-cognitive conditions was significantly reduced in the cognitive condition. Our results suggest that the decrease in the positive persistency during the cognitive task, which might represent the deterioration of healthy gait pattern, is caused endogenously by the cognitive and motor load, not necessarily by the reduction of visual field as often hypothesized. | en |
dc.language.iso | eng | - |
dc.publisher | Springer Nature | en |
dc.rights | © The Author(s) 2024 | en |
dc.rights | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. | en |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.subject | Biomedical engineering | en |
dc.subject | Central pattern generators | en |
dc.title | Smartphone usage during walking decreases the positive persistency in gait cycle variability | en |
dc.type | journal article | - |
dc.type.niitype | Journal Article | - |
dc.identifier.jtitle | Scientific Reports | en |
dc.identifier.volume | 14 | - |
dc.relation.doi | 10.1038/s41598-024-66727-1 | - |
dc.textversion | publisher | - |
dc.identifier.artnum | 16410 | - |
dc.address | Department of Mechanical Science and Bioengineering, Osaka University | en |
dc.address | Department of Mechanical Science and Bioengineering, Osaka University | en |
dc.address | Department of Mechanical Science and Bioengineering, Osaka University | en |
dc.address | Department of Statistics, North Carolina State University | en |
dc.address | Department of Mechanical Science and Bioengineering, Osaka University; Department of Informatics, Kyoto University | en |
dc.identifier.pmid | 39013927 | - |
dc.relation.url | https://www.kyoto-u.ac.jp/ja/research-news/2024-07-19 | - |
dcterms.accessRights | open access | - |
datacite.awardNumber | 19H04181 | - |
datacite.awardNumber | 22H03662 | - |
datacite.awardNumber | 22H04775 | - |
datacite.awardNumber.uri | https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-19H04181/ | - |
datacite.awardNumber.uri | https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-23K24918/ | - |
datacite.awardNumber.uri | https://kaken.nii.ac.jp/grant/KAKENHI-PUBLICLY-22H04775/ | - |
dc.identifier.eissn | 2045-2322 | - |
jpcoar.funderName | 日本学術振興会 | ja |
jpcoar.funderName | 日本学術振興会 | ja |
jpcoar.funderName | 日本学術振興会 | ja |
出現コレクション: | 学術雑誌掲載論文等 |

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