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1.
J Appl Biomech ; 39(1): 1-9, 2023 Feb 01.
Article in English | MEDLINE | ID: mdl-36379211

ABSTRACT

Research addressing lower limb amputee gait and prosthetic design often focuses on men, despite female lower limb amputees having different risk factors and lower success with their prosthetics overall. It is widely agreed that sex differences exist in able-bodied gait, but research analyzing sex differences in amputee gait is rare. This study compared male and female transtibial amputee gait to ascertain potential sex differences. Forty-five transtibial amputees were asked to walk at their self-selected speed, and spatiotemporal gait data were obtained. Both the mean and variability metric of parameters were analyzed for 10 male and 10 female participants. For all participants, amputated limbs had a shorter stance time, longer swing time, and larger step length. Females had a 10% shorter stance time and 26% larger normalized step and stride length than males. Female participants also walked over 20% faster than male participants. Finally, significant interactions were found in the mean and variability metric of stride velocity, indicating greater variability in women. These findings suggest that sex differences exist in transtibial amputee gait, offering possible explanations for the different comorbidities experienced by female lower limb amputees. These results have major implications for female amputees and for sex-specific research, rehabilitation, and prosthetic design.


Subject(s)
Amputees , Artificial Limbs , Humans , Female , Male , Amputees/rehabilitation , Leg , Sex Characteristics , Biomechanical Phenomena , Gait , Walking
2.
Sci Data ; 9(1): 320, 2022 06 16.
Article in English | MEDLINE | ID: mdl-35710678

ABSTRACT

Accurate lesion segmentation is critical in stroke rehabilitation research for the quantification of lesion burden and accurate image processing. Current automated lesion segmentation methods for T1-weighted (T1w) MRIs, commonly used in stroke research, lack accuracy and reliability. Manual segmentation remains the gold standard, but it is time-consuming, subjective, and requires neuroanatomical expertise. We previously released an open-source dataset of stroke T1w MRIs and manually-segmented lesion masks (ATLAS v1.2, N = 304) to encourage the development of better algorithms. However, many methods developed with ATLAS v1.2 report low accuracy, are not publicly accessible or are improperly validated, limiting their utility to the field. Here we present ATLAS v2.0 (N = 1271), a larger dataset of T1w MRIs and manually segmented lesion masks that includes training (n = 655), test (hidden masks, n = 300), and generalizability (hidden MRIs and masks, n = 316) datasets. Algorithm development using this larger sample should lead to more robust solutions; the hidden datasets allow for unbiased performance evaluation via segmentation challenges. We anticipate that ATLAS v2.0 will lead to improved algorithms, facilitating large-scale stroke research.


Subject(s)
Brain , Stroke , Algorithms , Brain/diagnostic imaging , Brain/pathology , Humans , Image Processing, Computer-Assisted , Magnetic Resonance Imaging , Neuroimaging , Stroke/diagnostic imaging , Stroke/pathology
3.
Arch Phys Med Rehabil ; 96(6): 1162-5, 2015 Jun.
Article in English | MEDLINE | ID: mdl-25481832

ABSTRACT

OBJECTIVE: To determine whether normalizing spatial-temporal gait data for walking speed obtained from multiple walking trials leads to differences in gait variability parameters associated with a history of falling in people with transtibial amputations. DESIGN: Cross-sectional study. SETTING: Rehabilitation center. PARTICIPANTS: People with unilateral transtibial amputations (N=45; mean age ± SD, 60.5±13.7y; 35 men [78%]) were recruited. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Participants completed 10 consecutive walking trials using an instrumented walkway system. Primary gait parameters were walking speed and step-length, step-width, step-time, and swing-time variability. A retrospective 12-month fall history was obtained from participants. RESULTS: Sixteen amputees (36%) were classified as fallers. Variation in gait speed across the 10 walking trials was 2.9% (range, 1.1%-12.1%). Variability parameters of normalized gait data were significantly different from variability parameters of nonnormalized data (all P<.01). For nonnormalized data, fallers had greater amputated limb step-time (P=.02), step-length (P=.02), swing-time (P=.05), and step-width (P=.03) variability and nonamputated limb step-length (P=.04) and step-width (P=.01) variability. For normalized data, only 3 variability parameters were significantly greater for fallers. These were amputated limb step-time (P=.05), step-length (P=.02), and step-width (P=.01) variability. CONCLUSIONS: Normalizing spatial-temporal gait data for walking speed before calculating gait variability parameters may aid in discerning variability parameters related to falls histories in people with transtibial amputations. This may help focus on the initial rehabilitation efforts of amputees with a fall history.


Subject(s)
Accidental Falls/statistics & numerical data , Amputees , Gait/physiology , Walking/physiology , Cross-Sectional Studies , Female , Humans , Leg , Male , Middle Aged
4.
Aust Health Rev ; 38(3): 265-70, 2014 Jun.
Article in English | MEDLINE | ID: mdl-24804607

ABSTRACT

OBJECTIVE: The aim of the present study was to investigate a change in physiotherapy provision from a 5- to 7-days-a-week service on both physiotherapy and hospital length of stay (LOS) after total knee (TKR) and total hip (THR) replacement. METHODS: A retrospective analysis of a clinical database was conducted for patients who received either a TKR or THR between July 2010 and June 2012 in one regional hospital. RESULTS: There was a significant decrease in physiotherapy LOS from 5.0 days (interquartile range (IQR) 5.0-6.0 days) for a 5-day physiotherapy service, to 5.0 days (IQR 4.0-5.0 days) for 7-day physiotherapy service (U=1443.5, z=-4.62, P=0.001). However, hospital LOS was not reduced (P=0.110). For TKR, physiotherapy LOS decreased significantly by 1 day with a 7-day physiotherapy service (U=518.0, z=-4.20, P=0.001). However, hospital LOS was again no different (P=0.309). For THR there was no difference in physiotherapy LOS (P=0.060) or hospital LOS (P=0.303) between the 5- and 7-day physiotherapy services. Where physiotherapy LOS was less than hospital LOS, delayed discharge was due primarily to non-medical issues (72%) associated with hospital organisational aspects. CONCLUSIONS: Increasing the provision of physiotherapy service after TKR provides an increase in physiotherapy sessions and has the potential to reduce hospital LOS. To be effective this must align with other administrative aspects of hospital discharge.


Subject(s)
After-Hours Care , Arthroplasty, Replacement, Hip/rehabilitation , Arthroplasty, Replacement, Knee/rehabilitation , Hospitalization , Length of Stay , Physical Therapy Modalities/organization & administration , Aged , Female , Humans , Male , Queensland , Retrospective Studies
5.
Aust Health Rev ; 37(1): 41-7, 2013 Feb.
Article in English | MEDLINE | ID: mdl-23157971

ABSTRACT

OBJECTIVE: Examine demographics, clinical characteristics and rehabilitation outcomes of lower-limb amputees, using the Australasian Rehabilitation Outcomes Centre (AROC) database. METHODS: Lower-limb amputee rehabilitation separations between 2004 and 2010 were identified using AROC impairment codes 5.3-5.7.(1) Analysis was conducted by year, impairment code, Australian National Sub-acute and Non-Acute Patient (AN-SNAP) classification (S2-224, Functional Independence Measure (FIM) motor(Mot) score 72-91; S2-225, FIM (Mot) score 14-71) and states of Australia. RESULTS: Mean length of stay (LOS) for all lower-limb amputee episodes was 36.1 days (95% confidence interval (CI): 35.4-36.9). Majority of episodes were unilateral below knee (63.6%), males (71.8%) with a mean age of 67.9 years (95% CI: 67.6-68.3). Year-on-year analysis revealed a trend for increasing LOS and decreasing age. Analysis by impairment code demonstrated no significant difference in rehabilitation outcomes. Analysis by AN-SNAP found that LOS was 16.2 days longer for S2-225 than for S2-224 (95% CI: 14.7-17.8, P<0.001), and FIM (Mot) change was 12.0 points higher for S2-225 than for S2-224 (95% CI: 11.5-12.6, P<0.001). Analysis by states revealed significant variation in LOS, FIM (Mot) change and FIM (Mot) efficiency which may be associated with variations in organisation of rehabilitation services across states. CONCLUSION: Although amputees represented a comparatively small proportion of all rehabilitation episodes in Australia, their LOS was significant. Unlike many other rehabilitation conditions, there was no evidence of decreasing LOS over time. AN-SNAP classes were effective in distinguishing rehabilitation outcomes, and could potentially be used more effectively in planning rehabilitation programs.


Subject(s)
Amputees/rehabilitation , Lower Extremity/surgery , Outcome Assessment, Health Care/statistics & numerical data , Recovery of Function , Aged , Australia , Female , Humans , Length of Stay , Male , Retrospective Studies
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