K Button , M Felemban , JL Davies , K Nicholas , J Parry-Williams , Q Muaidi , M Al-Amri
{"title":"基于传感器的便携式临床运动分析工具包中用于报告下肢运动波形运动补偿的标准化模板","authors":"K Button , M Felemban , JL Davies , K Nicholas , J Parry-Williams , Q Muaidi , M Al-Amri","doi":"10.1016/j.ipemt.2021.100001","DOIUrl":null,"url":null,"abstract":"<div><h3>Objectives</h3><p>To develop a standardised template to support physiotherapist reporting of lower limb kinematic waveform data</p></div><div><h3>Design</h3><p>Within and between user agreement identification of movement compensation strategies.</p></div><div><h3>Setting</h3><p>University Health Board Physiotherapy Department</p></div><div><h3>Participants</h3><p>Fourteen individuals with anterior cruciate ligament reconstruction performed overground gait, double-leg squat, and stair ascent wearing body-worn sensors. Six users viewed 252 kinematic waveforms of hip, knee and ankle joint angles in the sagittal and frontal planes.</p></div><div><h3>Main outcome measures</h3><p>Between and within-user observed agreement and themes from movement analysis reports</p></div><div><h3>Results</h3><p>Between-user observed agreement for presence of a movement compensation was 0.6–0.9 for the sagittal plane and 0.75–1.0 for the frontal place. Within-user observed agreement was 0.57–1.00 for the sagittal plane and 0.71–1.00 for the frontal plane. Three themes and seven categories were identified from the waveform interpretations: Amount (qualitative and quantitative description), timing (phase, discrete time point, cycle), and nature (peak, range of motion, timing) of the compensation.</p></div><div><h3>Conclusion</h3><p>There was good agreement between users at identifying the presence of movement compensation from the kinematic waveforms, but there was variation in how movement compensations were described. An interactive report, a standardised template for interpretation of kinematic waveforms, and training to support the clinical application of a movement analysis toolkit are proposed.</p></div>","PeriodicalId":73507,"journal":{"name":"IPEM-translation","volume":"1 ","pages":"Article 100001"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667258821000017/pdfft?md5=f5cda8c9ff5164d4e90f1623a7d9c7bf&pid=1-s2.0-S2667258821000017-main.pdf","citationCount":"0","resultStr":"{\"title\":\"A standardised template for reporting lower limb kinematic waveform movement compensations from a sensor-based portable clinical movement analysis toolkit\",\"authors\":\"K Button , M Felemban , JL Davies , K Nicholas , J Parry-Williams , Q Muaidi , M Al-Amri\",\"doi\":\"10.1016/j.ipemt.2021.100001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objectives</h3><p>To develop a standardised template to support physiotherapist reporting of lower limb kinematic waveform data</p></div><div><h3>Design</h3><p>Within and between user agreement identification of movement compensation strategies.</p></div><div><h3>Setting</h3><p>University Health Board Physiotherapy Department</p></div><div><h3>Participants</h3><p>Fourteen individuals with anterior cruciate ligament reconstruction performed overground gait, double-leg squat, and stair ascent wearing body-worn sensors. Six users viewed 252 kinematic waveforms of hip, knee and ankle joint angles in the sagittal and frontal planes.</p></div><div><h3>Main outcome measures</h3><p>Between and within-user observed agreement and themes from movement analysis reports</p></div><div><h3>Results</h3><p>Between-user observed agreement for presence of a movement compensation was 0.6–0.9 for the sagittal plane and 0.75–1.0 for the frontal place. Within-user observed agreement was 0.57–1.00 for the sagittal plane and 0.71–1.00 for the frontal plane. Three themes and seven categories were identified from the waveform interpretations: Amount (qualitative and quantitative description), timing (phase, discrete time point, cycle), and nature (peak, range of motion, timing) of the compensation.</p></div><div><h3>Conclusion</h3><p>There was good agreement between users at identifying the presence of movement compensation from the kinematic waveforms, but there was variation in how movement compensations were described. An interactive report, a standardised template for interpretation of kinematic waveforms, and training to support the clinical application of a movement analysis toolkit are proposed.</p></div>\",\"PeriodicalId\":73507,\"journal\":{\"name\":\"IPEM-translation\",\"volume\":\"1 \",\"pages\":\"Article 100001\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2667258821000017/pdfft?md5=f5cda8c9ff5164d4e90f1623a7d9c7bf&pid=1-s2.0-S2667258821000017-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IPEM-translation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2667258821000017\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IPEM-translation","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667258821000017","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A standardised template for reporting lower limb kinematic waveform movement compensations from a sensor-based portable clinical movement analysis toolkit
Objectives
To develop a standardised template to support physiotherapist reporting of lower limb kinematic waveform data
Design
Within and between user agreement identification of movement compensation strategies.
Setting
University Health Board Physiotherapy Department
Participants
Fourteen individuals with anterior cruciate ligament reconstruction performed overground gait, double-leg squat, and stair ascent wearing body-worn sensors. Six users viewed 252 kinematic waveforms of hip, knee and ankle joint angles in the sagittal and frontal planes.
Main outcome measures
Between and within-user observed agreement and themes from movement analysis reports
Results
Between-user observed agreement for presence of a movement compensation was 0.6–0.9 for the sagittal plane and 0.75–1.0 for the frontal place. Within-user observed agreement was 0.57–1.00 for the sagittal plane and 0.71–1.00 for the frontal plane. Three themes and seven categories were identified from the waveform interpretations: Amount (qualitative and quantitative description), timing (phase, discrete time point, cycle), and nature (peak, range of motion, timing) of the compensation.
Conclusion
There was good agreement between users at identifying the presence of movement compensation from the kinematic waveforms, but there was variation in how movement compensations were described. An interactive report, a standardised template for interpretation of kinematic waveforms, and training to support the clinical application of a movement analysis toolkit are proposed.