المؤلفون: Anh Phong Nguyen, Loris Gillain, Louise Delieux, Christine Detrembleur, Philippe Mahaudens, Jean-François Esculier

المصدر: Footwear Science. 15:43-54

مصطلحات موضوعية: Biomedical Engineering, Biophysics, Physical Therapy, Sports Therapy and Rehabilitation, Orthopedics and Sports Medicine, Human Factors and Ergonomics

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::2ea97115d0d9ce9e72397a75ee318cf9Test
https://doi.org/10.1080/19424280.2022.2144468Test

المؤلفون: Bahare Samadi, Maxime Raison, Philippe Mahaudens, Christine Detrembleur, Sofiane Achiche

المصدر: Computer Methods in Biomechanics and Biomedical Engineering. :1-12

مصطلحات موضوعية: Human-Computer Interaction, Biomedical Engineering, Bioengineering, General Medicine, Computer Science Applications

الوصف: To assess the severity and progression of adolescents with idiopathic scoliosis (AIS), radiography with X-rays is usually used. The methods based on statistical observations have been developed from 3D reconstruction of the trunk or topography. Machine learning has shown great potential to classify the severity of scoliosis on imaging data, generally on X-ray measurements. It is also known that AIS leads to the development of gait disorder. To our knowledge, machine learning has never been tested on spine intervertebral efforts during gait as a radiation-free method to classify the severity of spinal deformity in AIS. Develop automated machine learning algorithms in lumbar/thoracolumbar scoliosis to classify the severity of spinal deformity of AIS based on the lumbosacral joint (L5-S1) efforts during gait. The lumbosacral joint efforts of 30 individuals with lumbar/thoracolumbar AIS were used as distinctive features fed to the machine learning algorithms. Several tests were run using various classification algorithms. The labeling consisted of three classes reflecting the severity of scoliosis i.e. mild, moderate and severe. The ensemble classifier algorithm including k-nearest neighbors, support vector machine, random forest and multilayer perceptron achieved the most promising results, with accuracy scores of 91.4%. This preliminary study shows lumbosacral joint efforts can be used to classify the severity of spinal deformity in lumbar/thoracolumbar AIS. This method showed the potential of being used as an assessment tool to follow-up the progression of AIS as a radiation-free method, alternative to radiography. Future studies should be performed to test the method on other categories of AIS.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8c9f5fc1849045143ef33e55acb17caTest
https://doi.org/10.1080/10255842.2022.2117547Test

المؤلفون: Christine Detrembleur, Philippe Mahaudens, S. Hinnekens, Paul Fisette

المساهمون: UCL - SST/IMMC/MEED - Mechatronic, Electrical Energy, and Dynamics Systems

المصدر: Computer Methods in Biomechanics and Biomedical Engineering, Vol. 23, no.S1, p. 142-144 (2020)

مصطلحات موضوعية: medicine.diagnostic_test, Calibration (statistics), Electromyography, Muscles, 0206 medical engineering, Biomedical Engineering, food and beverages, Bioengineering, 030229 sport sciences, 02 engineering and technology, General Medicine, 020601 biomedical engineering, Back muscles, Spine, Computer Science Applications, Human-Computer Interaction, EMG-force relationship, 03 medical and health sciences, 0302 clinical medicine, medicine, Biomechanics, Geology, Biomedical engineering

الوصف: In the human body, assessing muscle forces can be done using either experimental or mathematical approaches. The former often relies on the use of surface electromyography (EMG) measurements, altho...

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::029015f1c623cbd2d72bbdabf2d9a4aeTest
https://hdl.handle.net/2078.1/237600Test

المؤلفون: S. Hinnekens, Philippe Mahaudens, Christine Detrembleur, Paul Fisette

المساهمون: UCL - SST/IMMC/MEED - Mechatronic, Electrical Energy, and Dynamics Systems, UCL - SSS/IREC/NMSK - Neuro-musculo-skeletal Lab, UCL - (SLuc) Service d'orthopédie et de traumatologie de l'appareil locomoteur

المصدر: Computer methods in biomechanics and biomedical engineering, Vol. 22, no. Suppl 1, p. S147-S149 (2019)

مصطلحات موضوعية: medicine.medical_treatment, 0206 medical engineering, Biomedical Engineering, Bioengineering, 02 engineering and technology, Scoliosis, spine, Back muscles, 03 medical and health sciences, 0302 clinical medicine, Spine surgery, medicine, Spondylitis, Herniated discs, Orthodontics, business.industry, 030229 sport sciences, General Medicine, medicine.disease, 020601 biomedical engineering, Computer Science Applications, Human-Computer Interaction, EMG relationship forces, Spinal fusion, muscles, surface EMG, business

الوصف: INTRODUCTION : In spine surgery, scoliosis, herniated discs and spondylitis are currently treated by spinal fusion. However, the choice of an optimal spinal fusion level has still limitations. Indeed, no objective tool to find the most suitable surgery is available. So, surgeries are often surgeon-specific: a single patient may be advised different surgical strategies depending on surgeons. [...]

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0c50afb7a29b1d529ce343fc4120924Test
https://doi.org/10.1080/10255842.2020.1714218Test

المؤلفون: Paul Fisette, Philippe Mahaudens, G. Abedrabbo, Maryline Mousny, Christine Detrembleur

المصدر: Computer Methods in Biomechanics and Biomedical Engineering. 22:S230-S232

مصطلحات موضوعية: Human-Computer Interaction, business.industry, Computation, Non invasive, Biomedical Engineering, Medicine, Bioengineering, General Medicine, business, Algorithm, Computer Science Applications

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::244c77b400864ef1420d365bcabcbff2Test
https://doi.org/10.1080/10255842.2020.1714251Test

المؤلفون: Olivier Cartiaux, Paul Fisette, Maryline Mousny, G. Abedrabbo, Philippe Mahaudens, Christine Detrembleur

المساهمون: UCL - SSS/IREC/NMSK - Neuro-musculo-skeletal Lab, UCL - (SLuc) Service d'orthopédie et de traumatologie de l'appareil locomoteur, UCL - SST/IMMC/TFL - Thermodynamics and fluid mechanics, UCL - SST/IMMC/MEED - Mechatronic, Electrical Energy, and Dynamics Systems

المصدر: Computer Methods in Biomechanics and Biomedical Engineering, Vol. 20, no. Suppl 1, p. 1-2 (2017)

مصطلحات موضوعية: 030222 orthopedics, medicine.medical_specialty, Computer science, 0206 medical engineering, Biomedical Engineering, Bioengineering, 02 engineering and technology, General Medicine, Scoliosis, Multibody system, medicine.disease, 020601 biomedical engineering, Computer Science Applications, Surgery, Human-Computer Interaction, 03 medical and health sciences, 0302 clinical medicine, Physical medicine and rehabilitation, Spine surgery, medicine

الوصف: Spine surgery planning involves many decisions for which the surgeon has not enough information, and for which biomechanical models might be helpful This has been illustrated by a study carried out...

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3ac602d608ee7ad22d0a37a4cdeafd7Test
https://pubmed.ncbi.nlm.nih.gov/29088621Test

المؤلفون: Gaëtan Stoquart, Christine Detrembleur, Julien Sapin, Thierry Lejeune, Maxime Gilliaux, Bruno Dehez

المساهمون: UCL - SSS/IREC/CARS - Computer Assisted Robotic Surgery, UCL - (SLuc) Service de médecine physique et de réadaptation motrice, UCL - SST/IMMC/MEED - Mechatronic, Electrical Energy, and Dynamics Systems, UCL - SSS/IONS/COSY - Systems & cognitive Neuroscience

المصدر: Annals of Biomedical Engineering, Vol. 44, no. 4, p. 1224–1233 (2016)

مصطلحات موضوعية: Adult, Male, Aging, 030506 rehabilitation, medicine.medical_specialty, Age effect, Adolescent, Biomedical Engineering, Kinematics, Outcome assessment, Upper Extremity, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Physical medicine and rehabilitation, medicine, Quantitative assessment, Humans, Young adult, Child, Aged, Aged, 80 and over, business.industry, Biomechanics, Healthy subjects, Robotics, Middle Aged, Healthy Volunteers, Biomechanical Phenomena, medicine.anatomical_structure, Child, Preschool, Physical therapy, Upper limb, Female, 0305 other medical science, business, 030217 neurology & neurosurgery

الوصف: Kinematics is recommended for the quantitative assessment of upper limb movements. The aims of this study were to determine the age effects on upper limb kinematics and establish normative values in healthy subjects. Three hundred and seventy healthy subjects, aged 3–93 years, participated in the study. They performed two unidirectional and two geometrical tasks ten consecutive times with the REAplan, a distal effector robotic device that allows upper limb displacements in the horizontal plane. Twenty-six kinematic indices were computed for the four tasks. For the four tasks, nineteen of the computed kinematic indices showed an age effect. Seventeen indices (the accuracy, speed and smoothness indices and the reproducibility of the accuracy, speed and smoothness) improved in young subjects aged 3–30 years, showed stabilization in adults aged 30– 60 years and declined in elderly subjects aged 60–93 years. Additionally, for both geometrical tasks, the speed index exhibited a decrease throughout life. Finally, a principal component analysis provided the relations between the kinematic indices, tasks and subjects’ age. This study is the first to assess age effects on upper limb kinematics and establish normative values in subjects aged 3–93 years.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5444d4c963ef5d7d9270b2491d3c71b6Test
https://doi.org/10.1007/s10439-015-1396-2Test

المؤلفون: Gaëtan Stoquart, Maxime Gilliaux, Christine Detrembleur, Floriane Dierckx, Bruno Dehez, Thierry Lejeune, Lola Vanden Berghe, Julien Sapin

المساهمون: UCL - SSS/IONS/COSY - Systems & cognitive Neuroscience, UCL - (SLuc) Service de médecine physique et de réadaptation motrice, UCL - SSS/IREC/CARS - Computer Assisted Robotic Surgery, UCL - SST/IMMC/MEED - Mechatronic, Electrical Energy, and Dynamics Systems

المصدر: Annals of Biomedical Engineering, Vol. 43, no. 5, p. 1123-1131 (2015)

مصطلحات موضوعية: Male, Aging, medicine.medical_specialty, School age child, business.industry, Biomedical Engineering, Biomechanics, Robotics, Kinematics, Outcome assessment, Biomechanical Phenomena, Upper Extremity, body regions, medicine.anatomical_structure, Child, Preschool, medicine, Physical therapy, Humans, Upper limb, Female, Child, business, Reference standards

الوصف: The use of kinematics is recommended to quantitatively evaluate upper limb movements. The aims of this study were to determine the age effects on upper limb kinematics and establish norms in healthy children. Ninety-three healthy children, aged 3-12 years, participated in this study. Twenty-eight kinematic indices were computed from four tasks. Each task was performed with the REAplan, a distal effector robotic device that allows upper limb displacements in the horizontal plane. Twenty-four of the 28 indices showed an improvement during childhood. Indeed, older children showed better upper limb movements. This study was the first to use a robotic device to show the age effects on upper limb kinematics and establish norms in healthy children.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5de3d67b98b525e91f10b401c242b75Test
https://doi.org/10.1007/s10439-014-1189-zTest

المؤلفون: M. Van Cauter, K. I. M’bra, Christine Detrembleur, Jean-Emile Dubuc, Philippe Mahaudens, Laura Wallard, Didier Postlethwaite, Olivier Cornu

المساهمون: UCL - SSS/IREC/NMSK - Neuro-musculo-skeletal Lab, UCL - (SLuc) Service d'orthopédie et de traumatologie de l'appareil locomoteur, UCL - (SLuc) Service de médecine physique et de réadaptation motrice, Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 (LAMIH), Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Centre National de la Recherche Scientifique (CNRS)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France)

المصدر: Computer Methods in Biomechanics and Biomedical Engineering, Vol. 20, no. Suppl 1, p. 207-208 (2017)
Computer Methods in Biomechanics and Biomedical Engineering
Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis, 2017, 20 (sup1), pp.207-208. ⟨10.1080/10255842.2017.1382935⟩

مصطلحات موضوعية: medicine.medical_specialty, [SDV]Life Sciences [q-bio], Biomedical Engineering, Pain, Bioengineering, biomechanics, 03 medical and health sciences, 0302 clinical medicine, International Classification of Functioning, Disability and Health, Hip osteoarthritis, Medicine, pain, Biomechanics, 030203 arthritis & rheumatology, business.industry, ICF model, General Medicine, Computer Science Applications, Human-Computer Interaction, Gait analysis, gait analysis, Physical therapy, business, 030217 neurology & neurosurgery

الوصف: IF=1.909; International audience

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0502bc945e812919b095ee3123b3a586Test
https://hdl.handle.net/2078.1/188795Test

المؤلفون: Benjamin Bollens, Thibault Warlop, Thierry Lejeune, Frédéric Crevecoeur, Christine Detrembleur

المصدر: Annals of Biomedical Engineering. 42:742-750

مصطلحات موضوعية: Adult, Male, medicine.medical_specialty, Biomedical Engineering, Poison control, STRIDE, Motor control, Walking, Mental calculation, Young Adult, Cognition, Physical medicine and rehabilitation, Gait (human), Duration (music), medicine, Physical therapy, Range (statistics), Humans, Female, Treadmill, Gait, human activities, Mathematics

الوصف: Information from the central and peripheral nervous systems is continuously integrated to produce a stable gait pattern. However, stride duration fluctuates in a complex manner in healthy subjects, exhibiting long-range autocorrelations that can span over hundreds of consecutive strides. The present study was conducted to explore the mechanisms controlling the long-term fluctuation dynamics of gait. In the first part of the study, stride duration variability was evaluated on a treadmill during forward (FW) and backward walking (BW). Despite the modification of the biomechanical constraints imposed on the locomotor system, the characteristics of the long-range autocorrelations remained unchanged in both modes of locomotion (FW: H = 0.79 ± 0.04 and α = 0.58 ± 0.13; BW: H = 0.79 ± 0.11 and α = 0.53 ± 0.25). In the second part of the study, stride duration variability was assessed while the subjects were performing a dual-task paradigm that combined gait and mental calculation. The long-term variability of stride duration was similar during usual walking (H = 0.80 ± 0.06 and α = 0.57 ± 0.13) and in dual-tasking (H = 0.77 ± 0.06 and α = 0.52 ± 0.16), whereas walking altered the performance of the cognitive task. Hence, the biomechanical and cognitive interferences imposed in the present study were not sufficient to induce a modification of the long-range autocorrelations highlighted in walking variability. These observations underline the robustness of the long-range autocorrelations.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fccc0a59930fd7092548e1ad10d4dd1Test
https://doi.org/10.1007/s10439-013-0961-9Test