{"title":"Analysis through Different Rehabilitation Exercises for Muscular Dystrophy","authors":"R. Harchana, Ramkumar S, R. M., S. U","doi":"10.1109/IC3IOT53935.2022.9767918","DOIUrl":null,"url":null,"abstract":"Muscular dystrophy (MD) is a group of genetic disorders that lead to the progressive weakening of the muscle. Muscular dystrophy is seen in 1 among 3500 children from the age of 5 to 20. It is most commonly seen among boys. Treatment usually involves medication with different steroids and physical therapy. Our project focuses on physical therapy for MD patients. The device proposed here is a combination of an interactive gaming application which includes an imaginary figure running on a runway and to avoid hurdles present on the runway, and a brace with sensors as a complement to physiotherapy. The brace consists of an accelerometer sensor which detects the movement of limbs of the patient, degree of movement. The output from this sensor is given to gaming application using raspberry Pi 4 module. It supports multiple motion tracking technologies and the inputs from these sensors will assist the therapist analyse the performance of the patients and control parameters, like level of movement, patient psychology, analyse their improvement in exercise to advance the therapy appropriately. The therapist analyse the improvement in the functioning of the muscles based on the values shown from the accelerometer and score obtained in the game in the doctor interface.","PeriodicalId":430809,"journal":{"name":"2022 International Conference on Communication, Computing and Internet of Things (IC3IoT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Communication, Computing and Internet of Things (IC3IoT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC3IOT53935.2022.9767918","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
Muscular dystrophy (MD) is a group of genetic disorders that lead to the progressive weakening of the muscle. Muscular dystrophy is seen in 1 among 3500 children from the age of 5 to 20. It is most commonly seen among boys. Treatment usually involves medication with different steroids and physical therapy. Our project focuses on physical therapy for MD patients. The device proposed here is a combination of an interactive gaming application which includes an imaginary figure running on a runway and to avoid hurdles present on the runway, and a brace with sensors as a complement to physiotherapy. The brace consists of an accelerometer sensor which detects the movement of limbs of the patient, degree of movement. The output from this sensor is given to gaming application using raspberry Pi 4 module. It supports multiple motion tracking technologies and the inputs from these sensors will assist the therapist analyse the performance of the patients and control parameters, like level of movement, patient psychology, analyse their improvement in exercise to advance the therapy appropriately. The therapist analyse the improvement in the functioning of the muscles based on the values shown from the accelerometer and score obtained in the game in the doctor interface.