Smart Data-Driven Optimization of Powered Prosthetic Ankles Using Surface Electromyography

The advent of powered prosthetic ankles provided more balance and optimal energy expenditure to lower amputee gait. However, these types of systems require an extensive setup where the parameters of the ankle, such as the amount of positive power and the stiffness of the ankle, need to be setup. Cur...

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Published inSensors (Basel, Switzerland) Vol. 18; no. 8; p. 2705
Main Authors Atri, Roozbeh, Marquez, J Sebastian, Leung, Connie, Siddiquee, Masudur R, Murphy, Douglas P, Gorgey, Ashraf S, Lovegreen, William T, Fei, Ding-Yu, Bai, Ou
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 17.08.2018
MDPI
Subjects
Algorithms
Amputees - rehabilitation
Ankle
Artificial Limbs
Biomechanical Phenomena
Calibration
data-driven optimization
Electromyography
Gait
Genetic algorithms
Humans
Hypercubes
Latin Hypercube Sampling
Muscles
Nelder–Mead
parameter tuning
powered prosthetic ankle
Prostheses
Stiffness
Nelder–Mead
powered prosthetic ankle
parameter tuning
Latin Hypercube Sampling
data-driven optimization
electromyography
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Abstract The advent of powered prosthetic ankles provided more balance and optimal energy expenditure to lower amputee gait. However, these types of systems require an extensive setup where the parameters of the ankle, such as the amount of positive power and the stiffness of the ankle, need to be setup. Currently, calibrations are performed by experts, who base the inputs on subjective observations and experience. In this study, a novel evidence-based tuning method was presented using multi-channel electromyogram data from the residual limb, and a model for muscle activity was built. Tuning using this model requires an exhaustive search over all the possible combinations of parameters, leading to computationally inefficient system. Various data-driven optimization methods were investigated and a modified Nelder⁻Mead algorithm using a Latin Hypercube Sampling method was introduced to tune the powered prosthetic. The results of the modified Nelder⁻Mead optimization were compared to the Exhaustive search, Genetic Algorithm, and conventional Nelder⁻Mead method, and the results showed the feasibility of using the presented method, to objectively calibrate the parameters in a time-efficient way using biological evidence.
AbstractList The advent of powered prosthetic ankles provided more balance and optimal energy expenditure to lower amputee gait. However, these types of systems require an extensive setup where the parameters of the ankle, such as the amount of positive power and the stiffness of the ankle, need to be setup. Currently, calibrations are performed by experts, who base the inputs on subjective observations and experience. In this study, a novel evidence-based tuning method was presented using multi-channel electromyogram data from the residual limb, and a model for muscle activity was built. Tuning using this model requires an exhaustive search over all the possible combinations of parameters, leading to computationally inefficient system. Various data-driven optimization methods were investigated and a modified Nelder–Mead algorithm using a Latin Hypercube Sampling method was introduced to tune the powered prosthetic. The results of the modified Nelder–Mead optimization were compared to the Exhaustive search, Genetic Algorithm, and conventional Nelder–Mead method, and the results showed the feasibility of using the presented method, to objectively calibrate the parameters in a time-efficient way using biological evidence.
The advent of powered prosthetic ankles provided more balance and optimal energy expenditure to lower amputee gait. However, these types of systems require an extensive setup where the parameters of the ankle, such as the amount of positive power and the stiffness of the ankle, need to be setup. Currently, calibrations are performed by experts, who base the inputs on subjective observations and experience. In this study, a novel evidence-based tuning method was presented using multi-channel electromyogram data from the residual limb, and a model for muscle activity was built. Tuning using this model requires an exhaustive search over all the possible combinations of parameters, leading to computationally inefficient system. Various data-driven optimization methods were investigated and a modified Nelder⁻Mead algorithm using a Latin Hypercube Sampling method was introduced to tune the powered prosthetic. The results of the modified Nelder⁻Mead optimization were compared to the Exhaustive search, Genetic Algorithm, and conventional Nelder⁻Mead method, and the results showed the feasibility of using the presented method, to objectively calibrate the parameters in a time-efficient way using biological evidence.
Author Lovegreen, William T
Fei, Ding-Yu
Siddiquee, Masudur R
Leung, Connie
Bai, Ou
Marquez, J Sebastian
Murphy, Douglas P
Gorgey, Ashraf S
Atri, Roozbeh
AuthorAffiliation 1 Human Cyber-Physical Systems Laboratory, Florida International University, Miami, FL 33174, USA; jmarq056@fiu.edu (J.S.M.); cleun006@fiu.edu (C.L.); msidd021@fiu.edu (M.R.S.); obai@fiu.edu (O.B.)
2 Department of Veterans Affairs, Hunter Holmes McGuire VA Medical Center, Richmond, VA 23249, USA; douglas.murphy3@va.gov (D.P.M.); ashraf.gorgey@va.gov (A.S.G.); william.lovegreen@va.gov (W.T.L.)
3 Department of Biomedical Engineering, Virginia Commonwealth University, Richmond, VA 23220, USA; fei@vcu.edu
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– name: 3 Department of Biomedical Engineering, Virginia Commonwealth University, Richmond, VA 23220, USA; fei@vcu.edu
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  givenname: J Sebastian
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CitedBy_id crossref_primary_10_1123_jab_2018_0297
crossref_primary_10_1109_ACCESS_2020_2980546
crossref_primary_10_1186_s12984_020_00675_5
crossref_primary_10_1007_s13534_023_00281_z
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Keywords Nelder–Mead
powered prosthetic ankle
parameter tuning
Latin Hypercube Sampling
data-driven optimization
electromyography
Language English
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Snippet The advent of powered prosthetic ankles provided more balance and optimal energy expenditure to lower amputee gait. However, these types of systems require an...
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StartPage 2705
SubjectTerms Algorithms
Amputees - rehabilitation
Ankle
Artificial Limbs
Biomechanical Phenomena
Calibration
data-driven optimization
Electromyography
Gait
Genetic algorithms
Humans
Hypercubes
Latin Hypercube Sampling
Muscles
Nelder–Mead
parameter tuning
powered prosthetic ankle
Prostheses
Stiffness
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Title Smart Data-Driven Optimization of Powered Prosthetic Ankles Using Surface Electromyography
URI https://www.ncbi.nlm.nih.gov/pubmed/30126112
https://www.proquest.com/docview/2108872495
https://search.proquest.com/docview/2091234618
https://pubmed.ncbi.nlm.nih.gov/PMC6111278
https://doaj.org/article/5f597dd7cfcd412197ec72bebe63a742
Volume 18
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