scholarly journals Classification Model to Discriminate People with and without Pain in the Lower Back and Lower Limb using Symmetry Data

2021 ◽  
Vol 5 (2) ◽  
pp. 72-79
Author(s):  
Si-hyun Kim ◽  
Siwoo Jeong ◽  
Kyue-nam Park
Keyword(s):  
Lower Limb ◽  
Classification Model ◽  
Lower Back

Recognizing Lower Limb Pathology Thought An EMG Classification Model

2021 ◽  
Author(s):  
Emilia Abigail Meza P ◽  
Maria Fernanda Trujillo G ◽  
Andres Rosales Acosta
Keyword(s):  
Lower Limb ◽  
Classification Model

Sectional Neuroanatomy of the Lower Limb I: Lower Back and Hip

2001 ◽  
Vol 25 (4) ◽  
pp. 656-660 ◽  
Author(s):  
Puneet Patni ◽  
L. Anne Hayman ◽  
Gregory Duncan ◽  
Faye Chiou-Tan ◽  
Katherine H. Taber
Keyword(s):  
Lower Limb ◽  
Lower Back

scholarly journals A Combined Low-Rank Matrix Completion and CDBN-LSTM Based Classification Model for Lower Limb Motion Function

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 205436-205443
Author(s):  
Yan Zhang ◽  
Sining Li ◽  
Jian Liu ◽  
Qi Fan ◽  
Ying Zhou
Keyword(s):  
Lower Limb ◽  
Matrix Completion ◽  
Classification Model ◽  
Low Rank ◽  
Motion Function ◽  
Rank Matrix ◽  
Low Rank Matrix Completion ◽  
Low Rank Matrix

Inertial measurement units are ‘all g’: Inter-trial reliability when assessing upper and lower body impact loading in artistic gymnastics

2020 ◽  
pp. 174795412097031
Author(s):  
Rhiannon A Campbell ◽  
Elizabeth J Bradshaw ◽  
Nick Ball ◽  
Adam Hunter ◽  
Wayne Spratford
Keyword(s):  
Lower Limb ◽  
Inertial Measurement Units ◽  
Order Zero ◽  
Training Environment ◽  
Good Reliability ◽  
Inertial Measurement ◽  
Lower Back ◽  
Limb Loading ◽  
Acceleration Data ◽  
Measurement Units

The magnitude of loading artistic gymnasts experience during training is currently unknown. Inertial measurement units (IMUs) could assess loading, although the reliability of these devices must be established prior to implementation into the training environment. This study aimed to determine inter-trial reliability of using IMeasureU Blue Thunder IMUs to assess upper and lower limb loading when performing foundation gymnastics skills. A secondary aim investigated the effect of raw and filtered acceleration signals on reliability results. Sixteen competitive level artistic gymnasts (male, n = 8; female, n = 8) performed seven gymnastics skills while wearing four IMUs (upper back, lower back, forearm and tibia). The peak resultant acceleration (PRA) during ground contact for all skills was exported from raw and filtered acceleration data (fourth-order zero-lag Butterworth filter with 85 Hz cut-off). Descriptive statistics (median and inter-quartile range), Friedman’s ANOVA, intra-class correlations, coefficient of variation, mean difference and Cohen’s effect sizes were calculated. Overall, the IMU PRA measures showed very good inter-trial reliability, however filtered signals improved reliability statistics for five variables compared to raw. The forearm- and tibia-mounted IMUs demonstrated improved reliability (very good reliability) compared to back positions (good reliability). IMUs are considered reliable devices to measure upper and lower limb loading in gymnastics.

scholarly journals LOWER BACK PAIN AFFECTS MOBILITY-RELATED INJURIES IN OLDER ADULTS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S291-S291
Author(s):  
Tyler R Bell ◽  
Pariya Fazeli ◽  
Caitlin N Pope ◽  
Michael Crowe ◽  
Karlene Ball
Keyword(s):  
Older Adults ◽  
Back Pain ◽  
Lower Back Pain ◽  
Lower Limb ◽  
Motor Vehicle ◽  
Statistical Significance ◽  
Longitudinal Impact ◽  
Limb Function ◽  
Lower Back ◽  
Lower Limb Function

Abstract Pain causes functional limitations and might elevate risk for mobility-related injuries in older adults. For this reason, we examined the longitudinal impact of lower back pain on the likelihood of MVCs and falls. Between 1998 and 1999, participants (ages >55 years) completed cognitive and physical measures at three Motor Vehicle departments. Participants then completed a telephone interview (n=1,248) assessing yearly health complications and injuries, which continued annually for 14 years. Separate longitudinal models examined the relationship between lower back pain and MVC and fall likelihood while controlling for demographics and mobility. Overall, those with lower back pain were twice as likely to have a fall than unafflicted peers (95%CI:1.69-2.47) and odds of MVC was just beyond statistical significance (95%CI: 0.97-1.94). In persons with lower back pain, problems in lower-limb function, divided attention, and task-switching were associated with MVCs whereas problems in lower-limb function were related to falls. Addressing limitations from pain might reduce mobility-related injury in older adults.

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