• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于足部运动传感器评估糖尿病患者日常行走时前足负荷的足底负荷估算算法的开发。

Development of a Plantar Load Estimation Algorithm for Evaluation of Forefoot Load of Diabetic Patients during Daily Walks Using a Foot Motion Sensor.

机构信息

Department of Gerontology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan.

Department of Life Support Technology (Molten), Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan.

出版信息

J Diabetes Res. 2017;2017:5350616. doi: 10.1155/2017/5350616. Epub 2017 Aug 3.

DOI:10.1155/2017/5350616
PMID:28840130
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5559913/
Abstract

Forefoot load (FL) contributes to callus formation, which is one of the pathways to diabetic foot ulcers (DFU). In this study, we hypothesized that excessive FL, which cannot be detected by plantar load measurements within laboratory settings, occurs in daily walks. To demonstrate this, we created a FL estimation algorithm using foot motion data. Acceleration and angular velocity data were obtained from a motion sensor attached to each shoe of the subjects. The accuracy of the estimated FL was validated by correlation with the FL measured by force sensors on the metatarsal heads, which was assessed using the Pearson correlation coefficient. The mean of correlation coefficients of all the subjects was 0.63 at a level corridor, while it showed an intersubject difference at a slope and stairs. We conducted daily walk measurements in two diabetic patients, and additionally, we verified the safety of daily walk measurement using a wearable motion sensor attached to each shoe. We found that excessive FL occurred during their daily walks for approximately three hours in total, when any adverse event was not observed. This study indicated that FL evaluation method using wearable motion sensors was one of the promising ways to prevent DFUs.

摘要

前足负荷(FL)可导致胼胝形成,这是糖尿病足溃疡(DFU)的途径之一。在这项研究中,我们假设在日常行走中存在实验室足底负荷测量无法检测到的过度 FL。为了证明这一点,我们使用足部运动数据创建了一个 FL 估计算法。加速度和角速度数据是从附着在受试者每只鞋上的运动传感器获得的。通过与附着在跖骨头上的力传感器测量的 FL 的 Pearson 相关系数来验证估计的 FL 的准确性。在水平走廊上,所有受试者的相关系数平均值为 0.63,而在斜坡和楼梯上则表现出个体间差异。我们在两名糖尿病患者中进行了日常行走测量,此外,我们还通过在每只鞋上附着可穿戴运动传感器来验证日常行走测量的安全性。我们发现,当没有观察到任何不良事件时,他们在日常行走中总共大约有三个小时会出现过度的 FL。这项研究表明,使用可穿戴运动传感器的 FL 评估方法是预防 DFU 的一种有前途的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/093d/5559913/814fb5269045/JDR2017-5350616.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/093d/5559913/74f5312a25b1/JDR2017-5350616.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/093d/5559913/edd521ef500f/JDR2017-5350616.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/093d/5559913/5a635fd567c2/JDR2017-5350616.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/093d/5559913/e9d94a860e08/JDR2017-5350616.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/093d/5559913/8c3bd731834e/JDR2017-5350616.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/093d/5559913/814fb5269045/JDR2017-5350616.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/093d/5559913/74f5312a25b1/JDR2017-5350616.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/093d/5559913/edd521ef500f/JDR2017-5350616.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/093d/5559913/5a635fd567c2/JDR2017-5350616.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/093d/5559913/e9d94a860e08/JDR2017-5350616.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/093d/5559913/8c3bd731834e/JDR2017-5350616.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/093d/5559913/814fb5269045/JDR2017-5350616.006.jpg

相似文献

1
Development of a Plantar Load Estimation Algorithm for Evaluation of Forefoot Load of Diabetic Patients during Daily Walks Using a Foot Motion Sensor.基于足部运动传感器评估糖尿病患者日常行走时前足负荷的足底负荷估算算法的开发。
J Diabetes Res. 2017;2017:5350616. doi: 10.1155/2017/5350616. Epub 2017 Aug 3.
2
Plantar pressure sensors indicate women to have a significantly higher peak pressure on the hallux, toes, forefoot, and medial of the foot compared to men.足底压力传感器显示,与男性相比,女性在大脚趾、脚趾、前脚掌和脚的内侧承受的峰值压力明显更高。
J Foot Ankle Res. 2020 Jul 1;13(1):40. doi: 10.1186/s13047-020-00410-2.
3
Lower-extremity dynamics of walking in neuropathic diabetic patients who wear a forefoot-offloading shoe.穿着前足减负鞋的糖尿病神经病变患者行走时的下肢动力学
Clin Biomech (Bristol). 2017 Dec;50:21-26. doi: 10.1016/j.clinbiomech.2017.10.003. Epub 2017 Oct 2.
4
The insole materials influence the plantar pressure distributions in diabetic foot with neuropathy during different walking activities.鞋垫材料会影响神经病变性糖尿病足在不同行走活动中的足底压力分布。
Gait Posture. 2019 Oct;74:154-161. doi: 10.1016/j.gaitpost.2019.08.023. Epub 2019 Sep 5.
5
Plantar pressure relief in the diabetic foot using forefoot offloading shoes.使用前足减压鞋缓解糖尿病足的足底压力
Gait Posture. 2009 Jun;29(4):618-22. doi: 10.1016/j.gaitpost.2009.01.003. Epub 2009 Feb 13.
6
The mechanism of plantar unloading in total contact casts: implications for design and clinical use.全接触石膏中足底卸载的机制:对设计和临床应用的启示。
Foot Ankle Int. 1997 Dec;18(12):809-17. doi: 10.1177/107110079701801210.
7
In-shoe plantar pressures during activities of daily living: implications for therapeutic footwear design.日常生活活动中的鞋内足底压力:对治疗性鞋类设计的启示。
Foot Ankle Int. 1996 Jun;17(6):352-9. doi: 10.1177/107110079601700611.
8
Efficacy and mechanism of orthotic devices to unload metatarsal heads in people with diabetes and a history of plantar ulcers.矫正装置对糖尿病伴足底溃疡病史患者减轻跖骨头负荷的疗效及机制
Phys Ther. 2006 Jun;86(6):833-42.
9
Combined application of FBG and PZT sensors for plantar pressure monitoring at low and high speed walking.用于低速和高速行走时足底压力监测的光纤布拉格光栅(FBG)传感器与压电陶瓷(PZT)传感器的联合应用。
Technol Health Care. 2015;23(1):47-61. doi: 10.3233/THC-140867.
10
Walking Intensity Estimation with a Portable Pedobarography System.使用便携式足底压力测量系统进行步行强度估计
Stud Health Technol Inform. 2016;224:27-32.

引用本文的文献

1
Medial meniscus injury changed plantar pressure distributions and decreased posture stability especially in those with varus alignment: a cross-sectional study based on a wearable smart plantar pressure system.内侧半月板损伤改变了足底压力分布并降低了姿势稳定性,尤其是在那些有膝内翻的人群中:一项基于可穿戴智能足底压力系统的横断面研究。
J Orthop Surg Res. 2025 Apr 7;20(1):350. doi: 10.1186/s13018-025-05751-x.
2
Intelligent Care Management for Diabetic Foot Ulcers: A Scoping Review of Computer Vision and Machine Learning Techniques and Applications.糖尿病足溃疡的智能护理管理:计算机视觉和机器学习技术及应用的范围综述
J Diabetes Sci Technol. 2025 May;19(3):820-829. doi: 10.1177/19322968231213378. Epub 2023 Nov 12.
3

本文引用的文献

1
Establishment of a measurement method for in-shoe pressure and shear stress in specific regions for diabetic ulcer prevention.建立用于预防糖尿病溃疡的特定区域鞋内压力和剪切应力的测量方法。
Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:2291-2294. doi: 10.1109/EMBC.2016.7591187.
2
Factors Associated With Callus in Patients with Diabetes, Focused on Plantar Shear Stress During Gait.糖尿病患者胼胝形成的相关因素,聚焦于步态期间的足底剪切力。
J Diabetes Sci Technol. 2016 Nov 1;10(6):1353-1359. doi: 10.1177/1932296816648164. Print 2016 Nov.
3
Residual analysis of ground reaction forces simulation during gait using neural networks with different configurations.
Detecting Medication-Taking Gestures Using Machine Learning and Accelerometer Data Collected via Smartwatch Technology: Instrument Validation Study.
利用机器学习和通过智能手表技术收集的加速度计数据检测服药手势:仪器验证研究
JMIR Hum Factors. 2023 May 4;10:e42714. doi: 10.2196/42714.
4
Smart Wearable Systems for the Remote Monitoring of Selected Vascular Disorders of the Lower Extremity: A Systematic Review.用于远程监测下肢特定血管疾病的智能可穿戴系统:系统评价。
Int J Environ Res Public Health. 2022 Nov 18;19(22):15231. doi: 10.3390/ijerph192215231.
5
Investigation of Impact of Walking Speed on Forces Acting on a Foot-Ground Unit.行走速度对足-地单位受力影响的研究。
Sensors (Basel). 2022 Apr 18;22(8):3098. doi: 10.3390/s22083098.
6
Feasibility of a Low-Intensity, Technology-Based Intervention for Increasing Physical Activity in Adults at Risk for a Diabetic Foot Ulcer: A Mixed-Methods Study.一项基于技术的低强度干预措施对增加糖尿病足溃疡高危成年人身体活动的可行性:一项混合方法研究。
J Diabetes Sci Technol. 2019 Sep;13(5):857-868. doi: 10.1177/1932296818822538. Epub 2019 Jan 18.
使用不同配置的神经网络对步态期间地面反作用力模拟进行残差分析。
Annu Int Conf IEEE Eng Med Biol Soc. 2015 Aug;2015:2812-5. doi: 10.1109/EMBC.2015.7318976.
4
Wearable pendant device monitoring using new wavelet-based methods shows daily life and laboratory gaits are different.使用基于新小波的方法对可穿戴式吊坠设备进行监测表明,日常生活步态和实验室步态有所不同。
Med Biol Eng Comput. 2016 Apr;54(4):663-74. doi: 10.1007/s11517-015-1357-9. Epub 2015 Aug 6.
5
Ground reaction force estimation using an insole-type pressure mat and joint kinematics during walking.基于鞋垫式压力垫的地面反作用力估计和行走过程中的关节运动学。
J Biomech. 2014 Aug 22;47(11):2693-9. doi: 10.1016/j.jbiomech.2014.05.007. Epub 2014 May 22.
6
Ground reaction force estimates from ActiGraph GT3X+ hip accelerations.基于ActiGraph GT3X+髋部加速度的地面反作用力估计值。
PLoS One. 2014 Jun 10;9(6):e99023. doi: 10.1371/journal.pone.0099023. eCollection 2014.
7
American Society of Biomechanics Clinical Biomechanics Award 2012: plantar shear stress distributions in diabetic patients with and without neuropathy.2012年美国生物力学学会临床生物力学奖:有和无神经病变的糖尿病患者的足底剪切应力分布
Clin Biomech (Bristol). 2014 Feb;29(2):223-9. doi: 10.1016/j.clinbiomech.2013.11.003. Epub 2013 Nov 15.
8
Prediction of ground reaction forces during gait based on kinematics and a neural network model.基于运动学和神经网络模型预测步态中的地面反作用力。
J Biomech. 2013 Sep 27;46(14):2372-80. doi: 10.1016/j.jbiomech.2013.07.036. Epub 2013 Aug 1.
9
Foot plantar pressure measurement system: a review.足底压力测量系统:综述。
Sensors (Basel). 2012;12(7):9884-912. doi: 10.3390/s120709884. Epub 2012 Jul 23.
10
Walking pattern classification and walking distance estimation algorithms using gait phase information.基于步态相位信息的行走模式分类和行走距离估计算法。
IEEE Trans Biomed Eng. 2012 Oct;59(10):2884-92. doi: 10.1109/TBME.2012.2212245. Epub 2012 Aug 8.