Triwiyanto Triwiyanto , Levana Forra Wakidi , I. Putu Alit Pawana
{"title":"基于力传感器的3D打印外骨骼上肢康复(EULR)","authors":"Triwiyanto Triwiyanto , Levana Forra Wakidi , I. Putu Alit Pawana","doi":"10.1016/j.ohx.2025.e00665","DOIUrl":null,"url":null,"abstract":"<div><div>The paper addresses the significant challenge of limited accessibility and high costs associated with commercial exoskeletons for hand rehabilitation, particularly for individuals with low to middle incomes. The aim of this study is to design and develop a low-cost, 3D-printed hand exoskeleton that integrates force sensor technology, providing a more adaptable solution for rehabilitation. The methodology involves creating a prototype that combines 3D printing with real-time monitoring of upper limb (elbow) movements and forces, ensuring personalized treatment for patients. The design incorporates a lightweight structure, powered by a rechargeable LiPo battery, and utilizes mini ESP32 microcontrollers to collect the sensor parameters and drive the servo motor, enhancing user experience and functionality. Results indicate that the proposed exoskeleton significantly reduces costs to approximately 98.4 US$ per unit, compared to existing products priced above 1,500 USD. The mean root mean square error (RMSE) for the exoskeleton’s finger movements was measured at 0.498° ± 0.709°, demonstrating high accuracy in tracking hand movements. The mean linearity error of load cell across all data points was 0.2292 %. These results indicate that the load cell maintains good linearity and accuracy within the calibrated range, and is suitable for precise force measurements in static applications. Additionally, the integration of force sensors allows for precise feedback during rehabilitation exercises, promoting better outcomes. The study concludes that this innovative approach not only makes hand rehabilitation more accessible but also encourages further research and development in the field. By providing an open-source design, the research fosters collaboration among researchers and developers, paving the way for future enhancements and adaptations of the exoskeleton to meet diverse patient needs. Overall, this work contributes to advancing rehabilitation technology, ultimately improving the quality of life for individuals recovering from neuromuscular disorders.</div></div>","PeriodicalId":37503,"journal":{"name":"HardwareX","volume":"23 ","pages":"Article e00665"},"PeriodicalIF":2.1000,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exoskeleton for Upper Limb Rehabilitation (EULR) with 3D printing technology based on force sensor\",\"authors\":\"Triwiyanto Triwiyanto , Levana Forra Wakidi , I. Putu Alit Pawana\",\"doi\":\"10.1016/j.ohx.2025.e00665\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The paper addresses the significant challenge of limited accessibility and high costs associated with commercial exoskeletons for hand rehabilitation, particularly for individuals with low to middle incomes. The aim of this study is to design and develop a low-cost, 3D-printed hand exoskeleton that integrates force sensor technology, providing a more adaptable solution for rehabilitation. The methodology involves creating a prototype that combines 3D printing with real-time monitoring of upper limb (elbow) movements and forces, ensuring personalized treatment for patients. The design incorporates a lightweight structure, powered by a rechargeable LiPo battery, and utilizes mini ESP32 microcontrollers to collect the sensor parameters and drive the servo motor, enhancing user experience and functionality. Results indicate that the proposed exoskeleton significantly reduces costs to approximately 98.4 US$ per unit, compared to existing products priced above 1,500 USD. The mean root mean square error (RMSE) for the exoskeleton’s finger movements was measured at 0.498° ± 0.709°, demonstrating high accuracy in tracking hand movements. The mean linearity error of load cell across all data points was 0.2292 %. These results indicate that the load cell maintains good linearity and accuracy within the calibrated range, and is suitable for precise force measurements in static applications. Additionally, the integration of force sensors allows for precise feedback during rehabilitation exercises, promoting better outcomes. The study concludes that this innovative approach not only makes hand rehabilitation more accessible but also encourages further research and development in the field. By providing an open-source design, the research fosters collaboration among researchers and developers, paving the way for future enhancements and adaptations of the exoskeleton to meet diverse patient needs. Overall, this work contributes to advancing rehabilitation technology, ultimately improving the quality of life for individuals recovering from neuromuscular disorders.</div></div>\",\"PeriodicalId\":37503,\"journal\":{\"name\":\"HardwareX\",\"volume\":\"23 \",\"pages\":\"Article e00665\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2025-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"HardwareX\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2468067225000434\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"HardwareX","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2468067225000434","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Exoskeleton for Upper Limb Rehabilitation (EULR) with 3D printing technology based on force sensor
The paper addresses the significant challenge of limited accessibility and high costs associated with commercial exoskeletons for hand rehabilitation, particularly for individuals with low to middle incomes. The aim of this study is to design and develop a low-cost, 3D-printed hand exoskeleton that integrates force sensor technology, providing a more adaptable solution for rehabilitation. The methodology involves creating a prototype that combines 3D printing with real-time monitoring of upper limb (elbow) movements and forces, ensuring personalized treatment for patients. The design incorporates a lightweight structure, powered by a rechargeable LiPo battery, and utilizes mini ESP32 microcontrollers to collect the sensor parameters and drive the servo motor, enhancing user experience and functionality. Results indicate that the proposed exoskeleton significantly reduces costs to approximately 98.4 US$ per unit, compared to existing products priced above 1,500 USD. The mean root mean square error (RMSE) for the exoskeleton’s finger movements was measured at 0.498° ± 0.709°, demonstrating high accuracy in tracking hand movements. The mean linearity error of load cell across all data points was 0.2292 %. These results indicate that the load cell maintains good linearity and accuracy within the calibrated range, and is suitable for precise force measurements in static applications. Additionally, the integration of force sensors allows for precise feedback during rehabilitation exercises, promoting better outcomes. The study concludes that this innovative approach not only makes hand rehabilitation more accessible but also encourages further research and development in the field. By providing an open-source design, the research fosters collaboration among researchers and developers, paving the way for future enhancements and adaptations of the exoskeleton to meet diverse patient needs. Overall, this work contributes to advancing rehabilitation technology, ultimately improving the quality of life for individuals recovering from neuromuscular disorders.
HardwareXEngineering-Industrial and Manufacturing Engineering
CiteScore
4.10
自引率
18.20%
发文量
124
审稿时长
24 weeks
期刊介绍:
HardwareX is an open access journal established to promote free and open source designing, building and customizing of scientific infrastructure (hardware). HardwareX aims to recognize researchers for the time and effort in developing scientific infrastructure while providing end-users with sufficient information to replicate and validate the advances presented. HardwareX is open to input from all scientific, technological and medical disciplines. Scientific infrastructure will be interpreted in the broadest sense. Including hardware modifications to existing infrastructure, sensors and tools that perform measurements and other functions outside of the traditional lab setting (such as wearables, air/water quality sensors, and low cost alternatives to existing tools), and the creation of wholly new tools for either standard or novel laboratory tasks. Authors are encouraged to submit hardware developments that address all aspects of science, not only the final measurement, for example, enhancements in sample preparation and handling, user safety, and quality control. The use of distributed digital manufacturing strategies (e.g. 3-D printing) is encouraged. All designs must be submitted under an open hardware license.