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Dataset_Range of Motion for Determining Low Back Pain

Name: Dataset_Range of Motion for Determining Low Back Pain
Creator: Obafemi Awolowo University, Nigeria
Published: 2021-07-21T00:00:00+08:00

Zenodo2021-07-21 更新2026-04-07 收录

生物力学评估

下背痛

数据链接：

https://zenodo.org/record/5119988 数据链接链接失效反馈

官方服务：

资源简介：

Dataset on spine based on the range of motion for predicting Low Back Pain.

应用场景：

提供机构：

Obafemi Awolowo University, Nigeria

创建时间：

2021-07-21

帕金森病运动分析

生物力学评估

Reaching and stepping respond differently to medication and cueing in Parkinson's disease This results of this research are fully reproducible using the source code, Jupyter notebooks, and raw data c

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Subject information and datasets.

生物力学评估

步态分析

Data comparison study: contains subject information, gait parameters, MVIC and RFD data from the comparison study.Data intratester: contains subject information and intra-tester MVIC and RFD dataData

NIAID Data Ecosystem50

Course of outcome scores of the NSLBP patients.

下背痛

临床结局追踪

Course of outcome scores of the NSLBP patients.

Figshare2020-03-27 更新30

Multivariate logistic regression analysis to determine independent predictor of LBP (N = 402).

下背痛

多项逻辑回归

Multivariate logistic regression analysis to determine independent predictor of LBP (N = 402).

Figshare2021-06-01 更新50

Results of binary logistic regression models estimating the association between categories of sitting time and high intensity of low back pain (>5 on a scale 0–9) among blue-collar workers.

健康流行病学

下背痛

Table footnotes: Total sitting time: low ≤6.4h, moderate = 6.5–8.3h and high >8.3h; Occupational sitting: low ≤2.0h, moderate = 2.1–3.7h and high>3.7h; leisure-time sitting: low≤3.9h, moderate = 4.0–5

NIAID Data Ecosystem50

Dataset_Range of Motion for Determining Low Back Pain

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