Julien Leboucher

Université de Bretagne Occidentale, Brest, Brittany, France

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Publications (6)4.57 Total impact

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    ABSTRACT: The objective of this exploratory study was to investigate and underline the contrasts between African and Canadian pregnant women, and their living conditions. We also intended to evaluate how they compared on low back pain, a condition that seems common across all pregnant women everywhere in the world. Thirty Beninese and 50 Canadian women were surveyed with demographic disability questionnaires O.D.I at approximately 25 weeks of pregnancy. There were large differences between the two groups due to the differences between the life style. Beninese women were more likely to be self-employed or housewives, while Canadian women were more likely to be employed. Beninese women worked for 18hours more per week, and had on average one more child at home. A higher percentage of Beninese women reported back pain, 83% versus 58% for Canadian women, but the disability scores were in the "moderate disability" range for both groups. A higher percentage of Beninese women also reported at least severe disability, 33% versus 14% for Canadian women. The results suggest that the higher percentages of Beninese women affected by back pain and by severe back pain is related to the longer hours worked and more strenuous physical work performed.
    Annals of physical and rehabilitation medicine 03/2012; 55(3):148-59.
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    ABSTRACT: Body segment moments of inertia (MOI) are estimated from data obtained from cadavers or living individuals. Though these methods can be valid for the general population, they usually are limited when applied to special populations (e.g., obese). The effect of two geometric methods, photogrammetry and two new methods, namely, inverse dynamics and angular momentum on the estimations of MOI in individuals of different body mass index (BMI) were compared to gain insight into their relative accuracy. The de Leva (1996) method was chosen as a criterion to determine how these methods behaved. MOI methods were not different in individuals with a normal BMI. On the average, MOI values obtained with inverse dynamics and angular momentum were respectively 13.2% lower for lean participants and 17.9% higher for obese subjects than those obtained from the de Leva method. The average Pearson coefficients of correlation between the MOI values, estimated by the de Leva method, and the other methods was 0.76 (+/-0.31). Since the proposed methods made no assumption on the mass distribution and segments' geometry, they appeared to be more sensitive to body morphology changes to estimate whole body MOI values in lean and obese subjects.
    Medical Engineering & Physics 05/2009; 31(7):880-6. · 1.78 Impact Factor
  • Computer Methods in Biomechanics and Biomedical Engineering 01/2008; 11:139-140. · 1.39 Impact Factor
  • Sciences et Technologies pour le Handicap 01/2007; 1(2):193-211.
  • Computer Methods in Biomechanics and Biomedical Engineering 09/2005; Supplement(1):213-214. · 1.39 Impact Factor
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    ABSTRACT: Able-bodied segment moment of inertia (MOI) can be determined from anthropometric tables and different models. These methods cannot be used for special populations such as obese subjects, elderly individuals, etc. The objec tives of this study are to estimate the personalized in vivo mome nt of inertia of the whole body using three-dimensional (3-D) inverse dynamic and angular momentum approaches and compare their results to five other methods (Hanavan's model, photogrammetry, two anthropometric tables, and inverse pendulum) tested in seven individuals. With respect to the modified Zatsiorsky method, the inverse dynamic approach values were within 3.7% of those along the all principal axes while the other four m ethods were off by 3.4%. The angular momentum method values were within 2.0% of the modified Zatsiorsky method for all three axes of rotation. It appears that the proposed methods coul d be applied to estimate the personalized in vivo moment of iner tia of people with different body morphology.

Publication Stats

8 Citations
4.57 Total Impact Points

Institutions

  • 2012
    • Université de Bretagne Occidentale
      Brest, Brittany, France
  • 2009
    • University of Valenciennes and Hainaut-Cambresis
      Valenciennes, Nord-Pas-de-Calais, France
  • 2005
    • Queen's University
      • Department of Mechanical and Materials Engineering
      Kingston, Ontario, Canada