仿生自适应框架优化被动膝关节假体运动

IF 3.5 2区医学 Q2 ENGINEERING, BIOMEDICAL

Journal of the Mechanical Behavior of Biomedical Materials Pub Date : 2025-09-16 DOI:10.1016/j.jmbbm.2025.107187

Muhammad Asif , Mohsin Islam Tiwana , Waqar Shahid Qureshi , Syed Tayyab Hussain , Umar Shahbaz Khan , Noman Naseer , Amir Hamza , Zeeshan Abbas

{"title":"仿生自适应框架优化被动膝关节假体运动","authors":"Muhammad Asif , Mohsin Islam Tiwana , Waqar Shahid Qureshi , Syed Tayyab Hussain , Umar Shahbaz Khan , Noman Naseer , Amir Hamza , Zeeshan Abbas","doi":"10.1016/j.jmbbm.2025.107187","DOIUrl":null,"url":null,"abstract":"<div><div>This research addresses the challenges faced by amputees who struggle while performing daily activities due to a missing limb. The objective is to create a bio-inspired framework that intelligently adapts to compensate for lost mobility and mimics natural walking for passive knee users. We have developed a framework that takes input power from human femur and drives the passive knee with the help of sensors and damping control mechanism. Our deep learning architecture achieved a high classification accuracy 94.44% for gait phase events. The proposed framework demonstrated optimized movement with reduced hip hikes and less fatigue, maintaining normal knee flexion <span><math><mrow><mo>(</mo><mn>6</mn><msup><mrow><mn>4</mn></mrow><mrow><mo>∘</mo></mrow></msup><mo>±</mo><mn>6</mn><mo>)</mo></mrow></math></span>, and achieving a good fall prevention rate of 95%. This research presents a promising solution to improve the functionality and comfort of passive knee prostheses, significantly improving the quality of an amputee’s life.</div></div>","PeriodicalId":380,"journal":{"name":"Journal of the Mechanical Behavior of Biomedical Materials","volume":"173 ","pages":"Article 107187"},"PeriodicalIF":3.5000,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Bio-inspired auto-adaptive framework for optimized movement of passive knee prosthesis\",\"authors\":\"Muhammad Asif , Mohsin Islam Tiwana , Waqar Shahid Qureshi , Syed Tayyab Hussain , Umar Shahbaz Khan , Noman Naseer , Amir Hamza , Zeeshan Abbas\",\"doi\":\"10.1016/j.jmbbm.2025.107187\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This research addresses the challenges faced by amputees who struggle while performing daily activities due to a missing limb. The objective is to create a bio-inspired framework that intelligently adapts to compensate for lost mobility and mimics natural walking for passive knee users. We have developed a framework that takes input power from human femur and drives the passive knee with the help of sensors and damping control mechanism. Our deep learning architecture achieved a high classification accuracy 94.44% for gait phase events. The proposed framework demonstrated optimized movement with reduced hip hikes and less fatigue, maintaining normal knee flexion <span><math><mrow><mo>(</mo><mn>6</mn><msup><mrow><mn>4</mn></mrow><mrow><mo>∘</mo></mrow></msup><mo>±</mo><mn>6</mn><mo>)</mo></mrow></math></span>, and achieving a good fall prevention rate of 95%. This research presents a promising solution to improve the functionality and comfort of passive knee prostheses, significantly improving the quality of an amputee’s life.</div></div>\",\"PeriodicalId\":380,\"journal\":{\"name\":\"Journal of the Mechanical Behavior of Biomedical Materials\",\"volume\":\"173 \",\"pages\":\"Article 107187\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2025-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the Mechanical Behavior of Biomedical Materials\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1751616125003030\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, BIOMEDICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Mechanical Behavior of Biomedical Materials","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1751616125003030","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}

引用次数: 0

摘要

这项研究解决了截肢者面临的挑战，他们由于失去了肢体而在日常活动中挣扎。目标是创造一个仿生框架，智能地适应补偿失去的活动能力，并模仿被动膝关节使用者的自然行走。我们已经开发了一个框架，它从人体股骨输入能量，并在传感器和阻尼控制机构的帮助下驱动被动膝关节。我们的深度学习架构对步态阶段事件的分类准确率达到了94.44%。所提出的框架显示出优化的运动方式，减少了髋部升高和疲劳，保持了正常的膝关节屈曲（64°±6），并实现了95%的良好防摔率。本研究提出了一个有希望的解决方案，以改善被动膝关节假体的功能和舒适性，显着改善截肢者的生活质量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Bio-inspired auto-adaptive framework for optimized movement of passive knee prosthesis

This research addresses the challenges faced by amputees who struggle while performing daily activities due to a missing limb. The objective is to create a bio-inspired framework that intelligently adapts to compensate for lost mobility and mimics natural walking for passive knee users. We have developed a framework that takes input power from human femur and drives the passive knee with the help of sensors and damping control mechanism. Our deep learning architecture achieved a high classification accuracy 94.44% for gait phase events. The proposed framework demonstrated optimized movement with reduced hip hikes and less fatigue, maintaining normal knee flexion

(6 4^{\circ} \pm 6)

, and achieving a good fall prevention rate of 95%. This research presents a promising solution to improve the functionality and comfort of passive knee prostheses, significantly improving the quality of an amputee’s life.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Journal of the Mechanical Behavior of Biomedical Materials 工程技术-材料科学：生物材料

CiteScore

7.20

自引率

7.70%

发文量

505

审稿时长

46 days

期刊介绍： The Journal of the Mechanical Behavior of Biomedical Materials is concerned with the mechanical deformation, damage and failure under applied forces, of biological material (at the tissue, cellular and molecular levels) and of biomaterials, i.e. those materials which are designed to mimic or replace biological materials. The primary focus of the journal is the synthesis of materials science, biology, and medical and dental science. Reports of fundamental scientific investigations are welcome, as are articles concerned with the practical application of materials in medical devices. Both experimental and theoretical work is of interest; theoretical papers will normally include comparison of predictions with experimental data, though we recognize that this may not always be appropriate. The journal also publishes technical notes concerned with emerging experimental or theoretical techniques, letters to the editor and, by invitation, review articles and papers describing existing techniques for the benefit of an interdisciplinary readership.