{"title":"Progress Monitoring Tool for Patient Suffering From OA Knee: Fitknees- Wearbale Sensor and Fitmust (Hand-Held Dynamometer): A Case Study","authors":"Bhairavi Ugale, Anmol Saxena","doi":"10.37506/wgtdbm03","DOIUrl":null,"url":null,"abstract":"Background-OA risk rises significantly with age and is incredibly uncommon in anyone under the age of 30. Female sex, obesity, past joint damage (such as an ankle fracture or knee ligament rupture), atypical joint anatomy, and having family members with OA all raise the risk of getting the condition. It has now become necessary to monitor the progress of the individual with the treatment given. \nAim- To track the progression of the ailment using unique fitness and Fit must devices. \nObjective - To find out the percentage of progress the participant did in each of the parameters, to find any co-relation within the parameters. \nResults-Wearables and a handheld dynamometer were used to calculate and significant findings were seen over the course of four months in addition to physiotherapy activities. \nConclusion- Wearables and artificial intelligence have made it simple for patients and therapists to monitor progress and recovery.","PeriodicalId":516273,"journal":{"name":"Indian Journal of Physiotherapy & Occupational Therapy - An International Journal","volume":"3 5","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indian Journal of Physiotherapy & Occupational Therapy - An International Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37506/wgtdbm03","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
Background-OA risk rises significantly with age and is incredibly uncommon in anyone under the age of 30. Female sex, obesity, past joint damage (such as an ankle fracture or knee ligament rupture), atypical joint anatomy, and having family members with OA all raise the risk of getting the condition. It has now become necessary to monitor the progress of the individual with the treatment given.
Aim- To track the progression of the ailment using unique fitness and Fit must devices.
Objective - To find out the percentage of progress the participant did in each of the parameters, to find any co-relation within the parameters.
Results-Wearables and a handheld dynamometer were used to calculate and significant findings were seen over the course of four months in addition to physiotherapy activities.
Conclusion- Wearables and artificial intelligence have made it simple for patients and therapists to monitor progress and recovery.
膝关节 OA 患者的进展监测工具:Fitknees - 穿戴式传感器和 Fitmust(手持式测力计):案例研究
背景-随着年龄的增长,患 OA 的风险明显增加,但在 30 岁以下的人群中却非常罕见。女性、肥胖、既往的关节损伤(如踝关节骨折或膝关节韧带断裂)、不典型的关节解剖结构以及家庭成员中有 OA 患者都会增加患病风险。因此,有必要对患者的治疗进展进行监测。目的--使用独特的健身和 Fit must 设备跟踪疾病的进展情况。目标--找出参与者在各项参数上取得进展的百分比,并找出各项参数之间的相互关系。结果--使用可穿戴设备和手持测力计进行计算,在四个月的时间里,除了物理治疗活动外,还发现了显著的结果。结论--可穿戴设备和人工智能使患者和治疗师能够轻松监测病情进展和恢复情况。