Stanislav Husár, M. Bundzel, Maroš Hliboký, Slavomír Kardoš, Norbert Ferenčík
{"title":"Advanced Prototype of Manus Diagnostics and Rehabilitation Device","authors":"Stanislav Husár, M. Bundzel, Maroš Hliboký, Slavomír Kardoš, Norbert Ferenčík","doi":"10.2478/aei-2023-0005","DOIUrl":null,"url":null,"abstract":"Abstract Hand fine motor functions may be impaired by various conditions, from injury to neurodegenerative diseases. Previously, we developed a prototype called Rehapiano that used load cells to measure the force exerted by the individual fingers. Rehapiano could distinguish between Parkinson’s patients and healthy individuals by analysing the finger tremors. Based on the experiences with the prototype and consultations with experts, we developed a more advanced prototype, Rehabimano. We show here how we improved the ergonomics and electronics. In addition, we have performed experimental validation of the device and confirmed its ability to detect and measure frequencies of tremors. These results are a stepping stone for consecutive software development and pre-clinical trials.","PeriodicalId":31657,"journal":{"name":"Acta Electrotechnica et Informatica","volume":"23 1","pages":"32 - 40"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Electrotechnica et Informatica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/aei-2023-0005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract Hand fine motor functions may be impaired by various conditions, from injury to neurodegenerative diseases. Previously, we developed a prototype called Rehapiano that used load cells to measure the force exerted by the individual fingers. Rehapiano could distinguish between Parkinson’s patients and healthy individuals by analysing the finger tremors. Based on the experiences with the prototype and consultations with experts, we developed a more advanced prototype, Rehabimano. We show here how we improved the ergonomics and electronics. In addition, we have performed experimental validation of the device and confirmed its ability to detect and measure frequencies of tremors. These results are a stepping stone for consecutive software development and pre-clinical trials.