Chester Rei E. Duhaylungsod, Czarina Eloise B. Magbitang, Jan Faith Isaac R. Mercado, George Elison D. Osido, Shannen Andrea C. Pecho, Angelo R. dela Cruz
{"title":"通过腿部对称性和时间参数检测步态异常","authors":"Chester Rei E. Duhaylungsod, Czarina Eloise B. Magbitang, Jan Faith Isaac R. Mercado, George Elison D. Osido, Shannen Andrea C. Pecho, Angelo R. dela Cruz","doi":"10.1109/HNICEM.2017.8269519","DOIUrl":null,"url":null,"abstract":"This paper proposes a method for detecting gait abnormality through the correlation between the thighs and shanks of the left and right leg of the subjects and the comparison of temporal parameters by using MetaMotionR — an Inertial Measurement Unit (IMU) sensor from Mbientlab. Temporal gait parameters which can be derived in this study are double limb support time, gait cycle time or stride time, stance time, swing time, and step time. Using the method proposed, the results of the correlation of the thigh and shank of both left and right leg shows a value which is close to 1 which indicates that symmetry between both legs. On an average of 31.93% difference among all temporal parameters, the normal gait and the abnormal gait can be compared and shows that the temporal parameters for the gait with abnormality has a larger value due to the knee injury.","PeriodicalId":104407,"journal":{"name":"2017IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)","volume":"69 7","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Detection of gait abnormality through leg symmetry and temporal parameters\",\"authors\":\"Chester Rei E. Duhaylungsod, Czarina Eloise B. Magbitang, Jan Faith Isaac R. Mercado, George Elison D. Osido, Shannen Andrea C. Pecho, Angelo R. dela Cruz\",\"doi\":\"10.1109/HNICEM.2017.8269519\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a method for detecting gait abnormality through the correlation between the thighs and shanks of the left and right leg of the subjects and the comparison of temporal parameters by using MetaMotionR — an Inertial Measurement Unit (IMU) sensor from Mbientlab. Temporal gait parameters which can be derived in this study are double limb support time, gait cycle time or stride time, stance time, swing time, and step time. Using the method proposed, the results of the correlation of the thigh and shank of both left and right leg shows a value which is close to 1 which indicates that symmetry between both legs. On an average of 31.93% difference among all temporal parameters, the normal gait and the abnormal gait can be compared and shows that the temporal parameters for the gait with abnormality has a larger value due to the knee injury.\",\"PeriodicalId\":104407,\"journal\":{\"name\":\"2017IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)\",\"volume\":\"69 7\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HNICEM.2017.8269519\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HNICEM.2017.8269519","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Detection of gait abnormality through leg symmetry and temporal parameters
This paper proposes a method for detecting gait abnormality through the correlation between the thighs and shanks of the left and right leg of the subjects and the comparison of temporal parameters by using MetaMotionR — an Inertial Measurement Unit (IMU) sensor from Mbientlab. Temporal gait parameters which can be derived in this study are double limb support time, gait cycle time or stride time, stance time, swing time, and step time. Using the method proposed, the results of the correlation of the thigh and shank of both left and right leg shows a value which is close to 1 which indicates that symmetry between both legs. On an average of 31.93% difference among all temporal parameters, the normal gait and the abnormal gait can be compared and shows that the temporal parameters for the gait with abnormality has a larger value due to the knee injury.