E. Peri, F. S. Iammarrone, A. Pedrocchi, E. Biffi, C. Gagliardi, A. Turconi, C. Maghini, C. Germiniasi, G. Reni
{"title":"A new quantitative performance parameter for monitoring robotics rehabilitation treatment","authors":"E. Peri, F. S. Iammarrone, A. Pedrocchi, E. Biffi, C. Gagliardi, A. Turconi, C. Maghini, C. Germiniasi, G. Reni","doi":"10.4108/icst.pervasivehealth.2014.255351","DOIUrl":null,"url":null,"abstract":"In clinical practice, the great potential of robots in extracting quantitative and meaningful data is not always exploited. The aim of the present paper is to propose a simple parameter that allows to follow the performance of subjects during upper limb robotic training with no additional effort for patients or clinicians. Armeo®Spring has been used to perform a training on 14 children affected by cerebral palsy (CP). Each session was evaluated with the new parameter allowing us to observe variations in subjects' performance over time. A preliminary validation of the parameter was performed by means of Melbourne clinical scale. Further studies are required to compare the results with kinematics data and other clinical scales.","PeriodicalId":120856,"journal":{"name":"Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4108/icst.pervasivehealth.2014.255351","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
In clinical practice, the great potential of robots in extracting quantitative and meaningful data is not always exploited. The aim of the present paper is to propose a simple parameter that allows to follow the performance of subjects during upper limb robotic training with no additional effort for patients or clinicians. Armeo®Spring has been used to perform a training on 14 children affected by cerebral palsy (CP). Each session was evaluated with the new parameter allowing us to observe variations in subjects' performance over time. A preliminary validation of the parameter was performed by means of Melbourne clinical scale. Further studies are required to compare the results with kinematics data and other clinical scales.