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Physiological parameters analysis of transfemoral amputees with different prosthetic knees

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Physiological parameters analysis allows for a precise quantification of energy expenditure of transfemoral amputees with different prosthetic knees. Comparative physiological parameters analysis that indicate the functional characteristics of knee joints is essential to the choice of transfemoral amputee. The aim of this study was to propose a microprocessor-controlled prosthetic knee (i-KNEE) and conducted physiological parameters (energy cost, gait efficiency and relative exercise intensity) comparison of transfemoral amputees with C-leg, Rheo Knee and Mauch under different walking speeds. Methodsː A microprocessor-controlled prosthetic knee with hydraulic damper (i-KNEE) was developed. A two-factor repeated measurement experiment design was used. Each subject was instructed to accept the same treatments. The two factors were type of prosthetic knees (the i-KNEE, the C-Leg, the Rheo Knee and the Mauch) and speed (0.5, 0.7, 0.9, 1.1, 1.3 m/s). The energy cost, gait efficiency and relative exercise intensity of ten transfemoral amputees were measured. Resultsː For all the prosthetic knees, the energy cost increased along with walking speed. There was no significant difference between three microprocessor-controlled prosthetic knees in energy cost. The gait efficiency of Mauch was always less than or equal to other three microprocessor-controlled prosthetic knees in specific walking speed. The relative exercise intensity increased with speed for all the prosthetic knees. More effort was needed for the transfemoral amputees with Mauch than other three microprocessorcontrolled prosthetic knees in the same walking speed. Conclusionsː The use of the microprocessor-controlled knee joints resulted in reduced energy cost, improved gait efficiency and smaller relative exercise intensity.
Rocznik
Strony
135--142
Opis fizyczny
Bibliogr. 26 poz., rys., tab.
Twórcy
autor
  • Rehabilitation Engineering and Technology Institute, University of Shanghai for Science and Technology, Shanghai, China
  • Shanghai Engineering Research Center of Assistive Devices, Shanghai, China
  • Key Laboratory of Neural-functional Information and Rehabilitation Engineering of the Ministry of Civil Affairs, Shanghai, China
autor
  • Rehabilitation Engineering and Technology Institute, University of Shanghai for Science and Technology, Shanghai, China, caowujing414@126.com
  • Shanghai Engineering Research Center of Assistive Devices, Shanghai, China
  • Key Laboratory of Neural-functional Information and Rehabilitation Engineering of the Ministry of Civil Affairs, Shanghai, China
  • Guangdong Provincial Key Laboratory of Robotics and Intelligent System, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
autor
  • Rehabilitation Engineering and Technology Institute, University of Shanghai for Science and Technology, Shanghai, China
  • Shanghai Engineering Research Center of Assistive Devices, Shanghai, China
  • Key Laboratory of Neural-functional Information and Rehabilitation Engineering of the Ministry of Civil Affairs, Shanghai, China
  • Rehabilitation Engineering and Technology Institute, University of Shanghai for Science and Technology, Shanghai, China, yhl98@hotmail.com
  • Shanghai Engineering Research Center of Assistive Devices, Shanghai, China
  • Key Laboratory of Neural-functional Information and Rehabilitation Engineering of the Ministry of Civil Affairs, Shanghai, China
autor
  • Rehabilitation Engineering and Technology Institute, University of Shanghai for Science and Technology, Shanghai, China
  • Shanghai Engineering Research Center of Assistive Devices, Shanghai, China
  • Key Laboratory of Rehabilitation Engineering and Technology Institute, University of Shanghai for Science and Neural-functional Information and Rehabilitation Engineering of the Ministry of Civil Affairs, Shanghai, China
Bibliografia
  • [1] ANDRYSEK J., WRIGHT F.V., ROTTER K. et al., Long-term clinical evaluation of the automatic stance-phase lockcontrolled prosthetic knee joint in young adults with unilateral above-knee amputation, Disability & Rehabilitation Assistive Technology, 2017, 12 (4), 378–384.
  • [2] BARR J.B., WUTZKE C.J., THRELKELD A.J., Longitudinal gait analysis of a person with a transfemoral amputation using three different prosthetic knee/foot pairs, Physiotherapy Practice, 2016, 28 (5), 407–411.
  • [3] CAO W., YU H., ZHAO W. et al., The comparison of transfemoral amputees using mechanical and microprocessor-controlled prosthetic knee under different walking speeds: A randomized cross-over trial, Technology and Health Care, 2018, 26 (4), 581–592.
  • [4] CHIN T., MACHIDA K., SAWAMURA S. et al., Comparison of different microprocessor-controlled knee joints on the energy consumption during walking in transfemoral amputees: Intelligent Knee Prosthesis (IP) versus C-Leg, Prosthetics & Orthotics International, 2006, 30 (1), 73–80.
  • [5] EKKACHAI K., NILKHAMHANG I., Swing Phase Control of Semi-Active Prosthetic Knee Using Neural Network Predictive Control With Particle Swarm Optimization, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2016, 24 (11), 1169–1178.
  • [6] ESPOSITO E.R., RÁBAGO C.A., WILKEN J., The influence of traumatic transfemoral amputation on metabolic cost across walking speeds, Prosthetics and Orthotics International, 2018, 42 (2), 214–222.
  • [7] FURSE A., CLEGHORN W., ANDRYSEK J., Improving the Gait Performance of Nonfluid-Based Swing-Phase Control Mechanisms in Transfemoral Prostheses, IEEE Transactions on Biomedical Engineering, 2011, 58 (8), 2352–2359.
  • [8] GEEROMS J., FLYNN L., JIMENEZ-FABIAN R. et al., Design and energetic evaluation of a prosthetic knee joint actuator with a lockable parallel spring, Bioinspiration and Biomimetics, 2017, 12 (2), 026002.
  • [9] HAFNER B.J., ASKEW R.L., Physical performance and selfreport outcomes associated with use of passive, adaptive, and active prosthetic knees in persons with unilateral, transfemoral amputation: Randomized crossover trial, Journal of Rehabilitation Research & Development, 2015, 52 (6), 677–700.
  • [10] HASENOEHRL T., SCHMALZ T., WINDHAGER R. et al., Safety and function of a prototype microprocessor-controlled knee prosthesis for low active transfemoral amputees switching from a mechanic knee prosthesis: a pilot study, Disability and Rehabilitation Assistive Technology, 2018, 13 (2), 157–165.
  • [11] HIGHSMITH M.J., KAHLE J.T., MIRO R.M. et al., Functional performance differences between the Genium and C-Leg prosthetic knees and intact knees, Journal of Rehabilitation Research and Development, 2016, 53 (6), 753–766.
  • [12] HOWARD C.L., WALLACE C., PERRY B. et al., Comparison of mobility and user satisfaction between a microprocessor knee and a standard prosthetic knee: a summary of seven single-subject trials, International Journal of Rehabilitation Research, 2018, 41 (1), 63–73.
  • [13] HSU M.J., NIELSEN D.H., YACK H.J. et al., Physiological measurements of walking and running in people with transtibial amputations with 3 different prostheses, Journal of Orthopaedic and Sports Physical Therapy, 1999, 29 (9), 526–533.
  • [14] HYOUNG-JONG AHN, KWANG-HEE LEE, CHUL-HEE LEE, Design optimization of a knee joint for an active transfemoral prosthesis for weight reduction, Journal of Mechanical Science and Technology, 2017, 31 (12), 5905–5913.
  • [15] JEPSON F., DATTA D., HARRIS I. et al., A comparative evaluation of the Adaptive knee and Catech knee joints: a preliminary study, Prosthetics and Orthotics International, 2008, 32 (1), 84–92.
  • [16] JOHANSSON J.L., AL E., A clinical comparison of variabledamping and mechanically passive prosthetic knee devices, American Journal of Physical Medicine and Rehabilitation, 2005, 84 (8), 563–575.
  • [17] KAUFMAN K.R., LEVINE J.A., BREY R.H. et al., Gait and balance of transfemoral amputees using passive mechanical and microprocessor-controlled prosthetic knees, Gait and Posture, 2007, 26 (4), 489–493.
  • [18] KAUFMAN K.R., LEVINE J.A., BREY R.H. et al., Energy Expenditure and Activity of Transfemoral Amputees Using Mechanical and Microprocessor-Controlled Prosthetic Knees, Archives of Physical Medicine and Rehabilitation, 2008, 89 (7), 1380–1385.
  • [19] LURA D.J., WERNKE M.M., CAREY S.L. et al., Differences in knee flexion between the Genium and C-Leg microprocessor knees while walking on level ground and ramps, Clinical Biomechanics, 2015, 30 (2), 175–181.
  • [20] MARTINEZ-VILLALPANDO E.C., MOONEY L., ELLIOTT G. et al., Antagonistic active knee prosthesis. A metabolic cost of walking comparison with a variable-damping prosthetic knee, International Conference of the IEEE Engineering in Medicine and Biology Society, Embc. IEEE, 2011, 8519–8522.
  • [21] ORENDURFF M.S., SEGAL A.D., KLUTE G.K. et al., Gait efficiency using the C-Leg, Journal of Rehabilitation Research and Development, 2006, 43 (2), 239–246.
  • [22] PARK J., YOON G.H., KANG J.W. et al., Design and control of a prosthetic leg for above-knee amputees operated in semiactive and active modes, Smart Material Structures, 2016, 25 (8), 085009.
  • [23] SILVER-THORN B., CURRENT T., KUHSE B., Preliminary investigation of residual limb plantarflexion and dorsiflexion muscle activity during treadmill walking for trans-tibial amputees, Prosthetics and Orthotics International, 2012, 36 (4), 425–442.
  • [24] THIELE J., WESTEBBE B., BELLMANN M. et al., Designs and performance of microprocessor-controlled knee joints, Biomedizinische Technik/Biomedical Engineering, 2014, 59 (1), 65–77.
  • [25] WILLIAMS M.R., HERR H., D’ANDREA S., Metabolic effects of using a variable impedance prosthetic knee, Journal of Rehabilitation Research and Development, 2016, 53 (6), 1079–1088.
  • [26] WONG C.K., BENOY S., BLACKWELL W. et al., A Comparison of Energy Expenditure in People With Transfemoral Amputation Using Microprocessor and Nonmicroprocessor Knee Prostheses, Journal of Prosthetics and Orthotics, 2012, 24 (4), 202–208.
Uwagi
The work reported in this paper was supported by National Key R&D Program of China, number: 2018YFB1307303, and National Natural Science Foundation of China, number: 61473193.
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e440d918-f820-45e0-96e7-545fdf163416
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