• 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

使用Azure Kinect DK对接受慢性血液透析患者在短距离走道上的步态测量进行验证

Validation of Gait Measurements on Short-Distance Walkways Using Azure Kinect DK in Patients Receiving Chronic Hemodialysis.

作者信息

Tsai Zhi-Ren, Kuo Chin-Chi, Wang Cheng-Jui, Tsai Jeffrey J P, Chou Hsin-Hsu

机构信息

Department of Computer Science & Information Engineering, Asia University, Taichung 41354, Taiwan.

Department of Medical Research, China Medical University Hospital, Taichung 404327, Taiwan.

出版信息

J Pers Med. 2023 Jul 24;13(7):1181. doi: 10.3390/jpm13071181.

DOI:10.3390/jpm13071181
PMID:37511793
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10381698/
Abstract

Muscle dysfunction, skeletal muscle fibrosis, and disability are associated with weakness in patients with end-stage renal disease. The main purpose of this study was to validate the effectiveness of a proposed system for gait monitoring on short-distance 1.5 m walkways in a dialysis center. Gaits with reduced speed and stride length, long sit-to-stand time (SST), two forward angles, and two unbalanced gait regions are defined in the proposed Kinect v3 gait measurement and analysis system (K3S) and have been considered clinical features in end-stage renal disease (ESRD) associated with poor dialysis outcomes. The stride and pace calibrations of the Kinect v3 system are based on the Zeno Walkway. Its single rating intraclass correlation (ICC) for the stride is 0.990, and its single rating ICC for the pace is 0.920. The SST calibration of Kinect v3 is based on a pressure insole; its single rating ICC for the SST is 0.871. A total of 75 patients on chronic dialysis underwent gait measurement and analysis during walking and weighing actions. After dialysis, patients demonstrated a smaller stride ( < 0.001) and longer SST ( < 0.001). The results demonstrate that patients' physical fitness was greatly reduced after dialysis. This study ensures patients' adequate physical gait strength to cope with the dialysis-associated physical exhaustion risk by tracing gait outliers. As decreased stride and pace are associated with an increased risk of falls, further studies are warranted to evaluate the clinical benefits of monitoring gait with the proposed reliable and valid system in order to reduce fall risk in hemodialysis patients.

摘要

肌肉功能障碍、骨骼肌纤维化和残疾与终末期肾病患者的虚弱有关。本研究的主要目的是验证一种提议的步态监测系统在透析中心1.5米短距离走道上的有效性。在提议的Kinect v3步态测量与分析系统(K3S)中定义了速度和步幅降低、从坐到站时间(SST)长、两个前向角度以及两个步态不平衡区域的步态,这些已被视为与透析效果不佳相关的终末期肾病(ESRD)的临床特征。Kinect v3系统的步幅和步频校准基于芝诺走道。其步幅的单评级组内相关系数(ICC)为0.990,步频的单评级ICC为0.920。Kinect v3的SST校准基于压力鞋垫;其SST的单评级ICC为0.871。共有75名接受慢性透析的患者在行走和称重过程中进行了步态测量与分析。透析后,患者的步幅更小(<0.001),SST更长(<|0.001)。结果表明,透析后患者的体能大幅下降。本研究通过追踪步态异常值确保患者有足够的身体步态强度来应对与透析相关的身体疲劳风险。由于步幅和步频降低与跌倒风险增加相关,有必要进一步研究以评估使用该提议的可靠且有效的系统监测步态的临床益处,以降低血液透析患者的跌倒风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd46/10381698/bf8e1cfa5472/jpm-13-01181-g015a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd46/10381698/49a04da14c36/jpm-13-01181-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd46/10381698/3ced6a393071/jpm-13-01181-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd46/10381698/1eeba6fe197f/jpm-13-01181-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd46/10381698/bf38debb48c2/jpm-13-01181-g004a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd46/10381698/eef746b876f6/jpm-13-01181-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd46/10381698/f9fb81336a91/jpm-13-01181-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd46/10381698/d2ae1dee5f29/jpm-13-01181-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd46/10381698/88a25a2c1538/jpm-13-01181-g008a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd46/10381698/11f167d22ab9/jpm-13-01181-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd46/10381698/0469bc36382d/jpm-13-01181-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd46/10381698/57e31217472d/jpm-13-01181-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd46/10381698/cc661a238a75/jpm-13-01181-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd46/10381698/a5662788e0c2/jpm-13-01181-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd46/10381698/8bd034814d78/jpm-13-01181-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd46/10381698/bf8e1cfa5472/jpm-13-01181-g015a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd46/10381698/49a04da14c36/jpm-13-01181-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd46/10381698/3ced6a393071/jpm-13-01181-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd46/10381698/1eeba6fe197f/jpm-13-01181-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd46/10381698/bf38debb48c2/jpm-13-01181-g004a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd46/10381698/eef746b876f6/jpm-13-01181-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd46/10381698/f9fb81336a91/jpm-13-01181-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd46/10381698/d2ae1dee5f29/jpm-13-01181-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd46/10381698/88a25a2c1538/jpm-13-01181-g008a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd46/10381698/11f167d22ab9/jpm-13-01181-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd46/10381698/0469bc36382d/jpm-13-01181-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd46/10381698/57e31217472d/jpm-13-01181-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd46/10381698/cc661a238a75/jpm-13-01181-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd46/10381698/a5662788e0c2/jpm-13-01181-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd46/10381698/8bd034814d78/jpm-13-01181-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd46/10381698/bf8e1cfa5472/jpm-13-01181-g015a.jpg

相似文献

1
Validation of Gait Measurements on Short-Distance Walkways Using Azure Kinect DK in Patients Receiving Chronic Hemodialysis.使用Azure Kinect DK对接受慢性血液透析患者在短距离走道上的步态测量进行验证
J Pers Med. 2023 Jul 24;13(7):1181. doi: 10.3390/jpm13071181.
2
Concurrent Validity of the Zeno Walkway for Measuring Spatiotemporal Gait Parameters in Older Adults.《Zenowalk 步速仪测量老年人时空步态参数的同时效度》。
J Geriatr Phys Ther. 2019 Jul/Sep;42(3):E42-E50. doi: 10.1519/JPT.0000000000000168.
3
Comparison of Azure Kinect overground gait spatiotemporal parameters to marker based optical motion capture.与基于标记的光学运动捕捉相比,Azure Kinect 地面步态时空参数。
Gait Posture. 2022 Jul;96:130-136. doi: 10.1016/j.gaitpost.2022.05.021. Epub 2022 May 21.
4
Spatiotemporal Gait Measurement With a Side-View Depth Sensor Using Human Joint Proposals.基于人体关节点建议的侧视深度传感器的时空步态测量。
IEEE J Biomed Health Inform. 2021 May;25(5):1758-1769. doi: 10.1109/JBHI.2020.3024925. Epub 2021 May 11.
5
Evaluation of the Pose Tracking Performance of the Azure Kinect and Kinect v2 for Gait Analysis in Comparison with a Gold Standard: A Pilot Study.评估 Azure Kinect 和 Kinect v2 在步态分析中的姿势跟踪性能与金标准的比较:一项初步研究。
Sensors (Basel). 2020 Sep 8;20(18):5104. doi: 10.3390/s20185104.
6
Ground reaction force and joint moment estimation during gait using an Azure Kinect-driven musculoskeletal modeling approach.基于 Azure Kinect 驱动的肌肉骨骼建模方法的步态中地面反作用力和关节力矩估计。
Gait Posture. 2022 Jun;95:49-55. doi: 10.1016/j.gaitpost.2022.04.005. Epub 2022 Apr 9.
7
Evaluation of the microsoft kinect skeletal versus depth data analysis for timed-up and go and figure of 8 walk tests.用于计时起立行走测试和“8”字形步行测试的微软Kinect骨骼数据与深度数据分析评估。
Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:2274-2277. doi: 10.1109/EMBC.2016.7591183.
8
Validity and reliability of a portable gait analysis system for measuring spatiotemporal gait characteristics: comparison to an instrumented treadmill.一种用于测量时空步态特征的便携式步态分析系统的有效性和可靠性:与仪器化跑步机的比较。
J Neuroeng Rehabil. 2016 Jan 20;13:6. doi: 10.1186/s12984-016-0115-z.
9
Effects of camera viewing angles on tracking kinematic gait patterns using Azure Kinect, Kinect v2 and Orbbec Astra Pro v2.使用 Azure Kinect、Kinect v2 和 Orbbec Astra Pro v2 时,摄像角度对运动学步态模式跟踪的影响。
Gait Posture. 2021 Jun;87:19-26. doi: 10.1016/j.gaitpost.2021.04.005. Epub 2021 Apr 5.
10
Passive in-home measurement of stride-to-stride gait variability comparing vision and Kinect sensing.比较视觉和Kinect传感的步幅间步态变异性的被动式家庭测量。
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:6491-4. doi: 10.1109/IEMBS.2011.6091602.

引用本文的文献

1
Supervised aerobic-strength exercise reduces postural sway and improves dual-task gait in Parkinson's disease.有监督的有氧力量训练可减少帕金森病患者的姿势晃动并改善其双任务步态。
Sci Rep. 2025 Jul 1;15(1):20643. doi: 10.1038/s41598-025-07009-2.
2
Estimation of gait parameters in healthy and hemiplegic individuals using Azure Kinect: a comparative study with the optoelectronic system.使用Azure Kinect评估健康个体和偏瘫个体的步态参数:与光电系统的对比研究。
Front Bioeng Biotechnol. 2024 Nov 25;12:1449680. doi: 10.3389/fbioe.2024.1449680. eCollection 2024.
3
A validation study demonstrating portable motion capture cameras accurately characterize gait metrics when compared to a pressure-sensitive walkway.

本文引用的文献

1
Motor signature of autism spectrum disorder in adults without intellectual impairment.自闭症谱系障碍在无智力障碍成人中的运动特征。
Sci Rep. 2022 May 10;12(1):7670. doi: 10.1038/s41598-022-10760-5.
2
The association of rs187238, rs19465518 and rs1946519 IL-8 polymorphisms with acute kidney injury in preterm infants.白细胞介素-8基因多态性rs187238、rs19465518和rs1946519与早产儿急性肾损伤的关联
Biomedicine (Taipei). 2021 Dec 1;11(4):43-50. doi: 10.37796/2211-8039.1231. eCollection 2021.
3
Clinical Disease Severity Mediates the Relationship between Stride Length and Speed and the Risk of Falling in Parkinson's Disease.
一项验证研究表明,与压力感应步道相比,便携式运动捕捉相机在步态测量方面具有更高的准确性。
Sci Rep. 2024 Jul 29;14(1):17464. doi: 10.1038/s41598-024-68402-x.
临床疾病严重程度介导帕金森病步幅与速度之间的关系以及跌倒风险。
J Pers Med. 2022 Jan 31;12(2):192. doi: 10.3390/jpm12020192.
4
Step length and fall risk in adults with chronic kidney disease: a pilot study.慢性肾脏病成人的步长与跌倒风险:一项初步研究。
BMC Nephrol. 2022 Feb 22;23(1):74. doi: 10.1186/s12882-022-02706-w.
5
Gait disorders in CKD patients: muscle wasting or cognitive impairment? A cross-sectional pilot study to investigate gait signatures in Stage 1-5 CKD patients.慢性肾脏病患者的步态障碍:肌肉减少症还是认知障碍?一项横断面初步研究,旨在探讨 1-5 期慢性肾脏病患者的步态特征。
BMC Nephrol. 2022 Feb 21;23(1):72. doi: 10.1186/s12882-022-02697-8.
6
Cognitive Dysfunction and Gait Abnormalities in CKD.慢性肾脏病中的认知功能障碍与步态异常
Clin J Am Soc Nephrol. 2021 May 8;16(5):694-704. doi: 10.2215/CJN.16091020. Epub 2021 Apr 6.
7
Evaluation of the Azure Kinect and Its Comparison to Kinect V1 and Kinect V2.评估 Azure Kinect 及其与 Kinect V1 和 Kinect V2 的比较。
Sensors (Basel). 2021 Jan 8;21(2):413. doi: 10.3390/s21020413.
8
Protocol for PD SENSORS: Parkinson's Disease Symptom Evaluation in a Naturalistic Setting producing Outcome measuRes using SPHERE technology. An observational feasibility study of multi-modal multi-sensor technology to measure symptoms and activities of daily living in Parkinson's disease.PD 传感器方案:使用 SPHERE 技术在自然环境中产生结果测量来评估帕金森病症状。一项使用多模态多传感器技术来测量帕金森病症状和日常生活活动的观测性可行性研究。
BMJ Open. 2020 Nov 30;10(11):e041303. doi: 10.1136/bmjopen-2020-041303.
9
Spatiotemporal Gait Measurement With a Side-View Depth Sensor Using Human Joint Proposals.基于人体关节点建议的侧视深度传感器的时空步态测量。
IEEE J Biomed Health Inform. 2021 May;25(5):1758-1769. doi: 10.1109/JBHI.2020.3024925. Epub 2021 May 11.
10
Which obstacle attributes place additional demands on higher-level cognitive function in patients with Parkinson's disease?哪些障碍属性对帕金森病患者的更高层次认知功能提出了额外要求?
Parkinsonism Relat Disord. 2020 Sep;78:178-183. doi: 10.1016/j.parkreldis.2020.08.002. Epub 2020 Aug 10.