V. D'Alessandro, Francesco Paciolla, Luisa De Palma, F. Adamo, A. Nisio, N. Giaquinto
{"title":"Robotized sorter for blood classification using RFID tags","authors":"V. D'Alessandro, Francesco Paciolla, Luisa De Palma, F. Adamo, A. Nisio, N. Giaquinto","doi":"10.1109/MeMeA54994.2022.9856477","DOIUrl":null,"url":null,"abstract":"Human errors in specimen identification and incorrect blood transfusions in hospitals cause economic losses for several million dollars and many adverse events each year, posing serious risks for patient health and carrying huge expenses for the health care system. This article presents the control of a 6 DOF (Degrees of Freedom) Mitsubishi's robot of the RV -Series to classify test tubes according to the sample's blood type (0, A or B) stored in the RFID (Radio Frequency IDentification) tag's memory. The automatization of processes using a robot, which is able to carry out repetitive and monotonous tasks, improves the standard of care and allows to reduce mortality among patients receiving transfusions with automatically classified blood. On each test tube a readable/writable MIFARE Ultralight® tag uniquely identified with a UID (Unique Identifier) has been applied. The classification is performed using the MFRC522 RFID IC (Integrated Circuit) reader connected to an Arduino UNO R3 board using a Serial Peripheral Interface bus. The execution of the task is performed only with linear trajectories and requires the development of two different levels of controllers. Moreover, additive manufacturing techniques have been used to shape both 3D printed screw cap of the test tubes and the Arduino case to hold the board.","PeriodicalId":106228,"journal":{"name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MeMeA54994.2022.9856477","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Human errors in specimen identification and incorrect blood transfusions in hospitals cause economic losses for several million dollars and many adverse events each year, posing serious risks for patient health and carrying huge expenses for the health care system. This article presents the control of a 6 DOF (Degrees of Freedom) Mitsubishi's robot of the RV -Series to classify test tubes according to the sample's blood type (0, A or B) stored in the RFID (Radio Frequency IDentification) tag's memory. The automatization of processes using a robot, which is able to carry out repetitive and monotonous tasks, improves the standard of care and allows to reduce mortality among patients receiving transfusions with automatically classified blood. On each test tube a readable/writable MIFARE Ultralight® tag uniquely identified with a UID (Unique Identifier) has been applied. The classification is performed using the MFRC522 RFID IC (Integrated Circuit) reader connected to an Arduino UNO R3 board using a Serial Peripheral Interface bus. The execution of the task is performed only with linear trajectories and requires the development of two different levels of controllers. Moreover, additive manufacturing techniques have been used to shape both 3D printed screw cap of the test tubes and the Arduino case to hold the board.
人为错误的标本鉴定和医院不正确的输血每年造成数百万美元的经济损失和许多不良事件,给患者健康带来严重风险,并为医疗保健系统带来巨额费用。本文介绍了对三菱RV -系列6自由度机器人的控制,根据存储在RFID(射频识别)标签存储器中的样本血型(0、a或B)对试管进行分类。使用能够执行重复和单调任务的机器人实现流程自动化,提高了护理标准,并降低了接受自动分类血液输血的患者的死亡率。在每个试管上,使用UID(唯一标识符)唯一标识的可读/可写MIFARE Ultralight®标签。使用MFRC522 RFID IC(集成电路)读取器通过串行外设接口总线连接到Arduino UNO R3板,执行分类。该任务的执行仅使用线性轨迹执行,并且需要开发两个不同级别的控制器。此外,增材制造技术已被用于塑造试管的3D打印螺旋帽和Arduino外壳,以容纳电路板。