Assessing lower limb angles from sagittal plane images captured with a smartphone for post-stroke gait.
BACKGROUND: Clinical gait analysis of sagittal plane lower-limb kinematics using video images is a quantitative tool for clinicians. However, the reliability and validity of limb kinematics after stroke using video images has not been fully investigated. OBJECTIVE: This study aimed to examine the wi...
| Publicado en: | Physiotherapy Practice & Research Vol. 44; no. 2; pp. 69 - 78 |
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| Autores principales: | , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=174324563&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 174324563 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 22130683 FTHV jtl: Physiotherapy Practice & Research issn: 22130683 maglogo: N pubinfo: dt: 2023 vid: 44 iid: 2 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 174324563 164075581 174324563 174324563 10.3233/PPR-230739 174324563 ppf: 69 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Assessing lower limb angles from sagittal plane images captured with a smartphone for post-stroke gait. aug: au: Kitaji, Yu Sato, Haruhiko Ishida, Shinnosuke Harashima, Hiroaki Miyano, Satoshi affil: Department of Rehabilitation, Tokyo General Hospital, Tokyo, Japan sug: subj: Lower Extremity Gait Analysis Videorecording Smartphone Utilization Stroke Patients Evaluation Kinematics Evaluation Human Cross Sectional Studies Nonexperimental Studies Validation Studies Interrater Reliability Criterion-Related Validity Intraclass Correlation Coefficient Pearson's Correlation Coefficient Confidence Intervals Pilot Studies ab: BACKGROUND: Clinical gait analysis of sagittal plane lower-limb kinematics using video images is a quantitative tool for clinicians. However, the reliability and validity of limb kinematics after stroke using video images has not been fully investigated. OBJECTIVE: This study aimed to examine the within-session inter-rater reliability and criterion-related validity of lower limb angles measured in sagittal plane images captured using a smartphone for assessing post-stroke gait and to determine which asymmetric parameters are associated with faster gait velocity. METHODS: Thirty-two patients with stroke were included; video images were recorded as they walked at their preferred pace for 1–3 cycles. Lower limb angles (contact, push-off, and excursion angles) and degree of asymmetry were determined based on video images using markers of acromion, greater trochanter, and fifth metatarsal head. Measurement reliability was calculated using the two-way random effects model of intraclass correlation coefficients and minimal detectable change. The criterion validity investigated Pearson's correlation between lower limb angles and their asymmetry and gait velocity. RESULTS: The lower value of the 95% confidence interval of intraclass correlation coefficients (2.3) of the lower limb was 0.891, and the maximum minimal detectable change was 9.6 degrees. Push-off angle showed a moderate-to-strong correlation with gait velocity, whereas the asymmetry of the push-off angle showed a weak correlation with gait velocity. CONCLUSIONS: Assessing post-stroke gait utilizing video images using a smartphone is feasible. The push-off angle, in particular, may provide insight into the clinical assessment of post-stroke gait. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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