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Ármannsdóttir AL, Lecomte C, Lemaire E, Brynjólfsson S, Briem K. Perceptions and biomechanical effects of varying prosthetic ankle stiffness during uphill walking: A case series. Gait Posture 2024; 108:354-360. [PMID: 38227995 DOI: 10.1016/j.gaitpost.2024.01.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Revised: 12/28/2023] [Accepted: 01/02/2024] [Indexed: 01/18/2024]
Abstract
BACKGROUND Prosthetic foot stiffness, which is typically invariable for commercially available prosthetic feet, needs to be considered when prescribing a prosthetic foot. While a biological foot adapts its function according to the movement task, an individual with lower limb amputation may be limited during more functionally demanding gait tasks by their conventional energy storing and return prosthetic foot. RESEARCH QUESTION How do changes in prosthetic foot stiffness during incline walking affect biomechanical measures as well as perception of participants. METHODS Kinetic and kinematic data were collected during incline walking, for five participants with trans-tibial amputation. A mixed model analysis of variance was used to analyse the effects of changing the stiffness during incline walking, using a novel variable-stiffness unit built on a commercially available prosthetic foot. Biomechanical results were also analysed on an individual level alongside the participant feedback, for a better understanding of the various strategies and perceptions exhibited during incline walking. RESULTS Statistically significant effects were only observed on the biomechanical parameters directly related to prosthetic ankle kinematics and kinetics (i.e., peak prosthetic ankle dorsiflexion, peak prosthetic ankle power, dynamic joint stiffness during controlled dorsiflexion). Participant perception during walking was affected by changes in stiffness. Individual analyses revealed varied perceptions and varied biomechanical responses among participants. SIGNIFICANCE While changes in prosthesis mechanical properties influenced the amputee's experience, minimal immediate effects were found with the overall gait pattern. The reported inter-participant variability may be due to the person's physical characteristics or habitual gait pattern, which may influence prosthesis function. The ability to vary prosthetic foot stiffness during the assessment phase of setting up a prosthesis could provide useful information to guide selection of the appropriate prosthetic device for acceptable performance across a range of activities.
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Affiliation(s)
- Anna Lára Ármannsdóttir
- Research Centre of Movement Science, University of Iceland, Reykjavík, Iceland; Össur hf., Grjótháls 5, 110 Reykjavik, Iceland.
| | - Christophe Lecomte
- Faculty of Industrial Engineering, Mechanical Engineering and Computer Science, School of Engineering and Natural Sciences, University of Iceland, Reykjavík, Iceland; Össur hf., Grjótháls 5, 110 Reykjavik, Iceland
| | - Edward Lemaire
- Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | - Sigurður Brynjólfsson
- Faculty of Industrial Engineering, Mechanical Engineering and Computer Science, School of Engineering and Natural Sciences, University of Iceland, Reykjavík, Iceland
| | - Kristín Briem
- Research Centre of Movement Science, University of Iceland, Reykjavík, Iceland
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2
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Diaz MA, Vos M, Dillen A, Tassignon B, Flynn L, Geeroms J, Meeusen R, Verstraten T, Babic J, Beckerle P, De Pauw K. Human-in-the-Loop Optimization of Wearable Robotic Devices to Improve Human-Robot Interaction: A Systematic Review. IEEE TRANSACTIONS ON CYBERNETICS 2023; 53:7483-7496. [PMID: 37015459 DOI: 10.1109/tcyb.2022.3224895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
This article presents a systematic review on wearable robotic devices that use human-in-the-loop optimization (HILO) strategies to improve human-robot interaction. A total of 46 HILO studies were identified and divided into upper and lower limb robotic devices. The main aspects from HILO were identified, reviewed, and classified in four areas: 1) human-machine systems; 2) optimization methods; 3) control strategies; and 4) experimental protocols. A variety of objective functions (physiological, biomechanical, and subjective), optimization strategies, and optimized control parameters configurations used in different control strategies are presented and analyzed. An overview of experimental protocols is provided, including metrics, tasks, and conditions tested. Moreover, the relevance given to training or adaptation periods was explored. We outline an HILO framework that includes current wearable robots, optimization strategies, objective functions, control strategies, and experimental protocols. We conclude by highlighting current research gaps and defining future directions to improve the development of advanced HILO strategies in upper and lower limb wearable robots.
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3
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Pitkin M. The Moment Criterion of Anthropomorphicity of Prosthetic Feet as a Potential Predictor of Their Functionality for Transtibial Amputees. Biomimetics (Basel) 2023; 8:572. [PMID: 38132511 PMCID: PMC10741750 DOI: 10.3390/biomimetics8080572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 11/19/2023] [Accepted: 11/21/2023] [Indexed: 12/23/2023] Open
Abstract
The purpose of this paper is to discuss a new quantitative mechanical parameter of prosthetic feet called the Index of Anthropomorphicity (IA), which has the potential to be adopted as an objective predictor of their functionality. The objectives are to present the research findings supporting the introduction of IA and unify previous results into a coherent theory. The IA is founded on the moment criterion of the anthropomorphicity of prosthetic feet. The term "anthropomorphicity" is defined for this application. Studies with a small number of human subjects and prostheses have shown that the value of the parameter is positively correlated with patient comfort and with the restoration of certain normal gait characteristics. Confirmatory studies with controlled human trials and mechanical tests with a wider selection of prosthesis types can give prosthesis manufacturers a new criterion to follow in the design process, and prosthetists may use the IA for selecting more suitable prostheses for a patient's comfort and health.
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Affiliation(s)
- Mark Pitkin
- Poly-Orth International, Sharon, MA 02067, USA;
- Department of Orthopaedics and Physical Medicine and Rehabilitation, Tufts University School of Medicine, Boston, MA 02111, USA
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4
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Mohammed El Husaini M, Maberry A, Martin AE. Validation of a modified visual analogue scale to measure user-perceived comfort of a lower-limb exoskeleton. Sci Rep 2023; 13:20484. [PMID: 37993504 PMCID: PMC10665473 DOI: 10.1038/s41598-023-47430-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 11/14/2023] [Indexed: 11/24/2023] Open
Abstract
User perceived exoskeleton comfort is likely important for device acceptance, but there is currently no validated instrument to measure it. The Visual Analogue Scale (VAS) is an existing tool to measure subjective human feedback by asking the user to mark a point on a line with each end of the line representing an opposing anchor statement. It can be modified to show the previous response, allowing the subject to directly indicate if the current condition is better or worse than the previous one. The goal of this study was to determine how well the modified VAS could measure user-perceived comfort as the exoskeleton control parameters were varied. To validate the survey, 14 healthy subjects walked in a pair of ankle exoskeletons with approximately ten distinct sets of control parameters tested in a prescribed order. Each set of control parameters was tested twice. After each trial, user-perceived comfort was measured using a two-question VAS survey. The repeatability coefficient was approximately 40 mm, similar to the total range of responses. The results were also inconsistent, with relative rankings between consecutive pairs of conditions matching for approximately 50% of comparisons. Thus, as tested, the VAS was not repeatable or consistent. It is possible that subject adaptation within the trial and over the course of the experiment may have impacted the results. Additional work is needed to develop a repeatable method to measure comfort and to determine how perceived comfort varies as subjects' gain exoskeleton experience.
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Affiliation(s)
| | - Axl Maberry
- Department of Mechanical Engineering, Pennsylvania State University, University Park, PA, 16802, USA
| | - Anne E Martin
- Department of Mechanical Engineering, Pennsylvania State University, University Park, PA, 16802, USA.
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5
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Lee UH, Shetty VS, Franks PW, Tan J, Evangelopoulos G, Ha S, Rouse EJ. User preference optimization for control of ankle exoskeletons using sample efficient active learning. Sci Robot 2023; 8:eadg3705. [PMID: 37851817 DOI: 10.1126/scirobotics.adg3705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 09/20/2023] [Indexed: 10/20/2023]
Abstract
One challenge to achieving widespread success of augmentative exoskeletons is accurately adjusting the controller to provide cooperative assistance with their wearer. Often, the controller parameters are "tuned" to optimize a physiological or biomechanical objective. However, these approaches are resource intensive, while typically only enabling optimization of a single objective. In reality, the exoskeleton user experience is likely derived from many factors, including comfort, fatigue, and stability, among others. This work introduces an approach to conveniently tune the four parameters of an exoskeleton controller to maximize user preference. Our overarching strategy is to leverage the wearer to internally balance the experiential factors of wearing the system. We used an evolutionary algorithm to recommend potential parameters, which were ranked by a neural network that was pretrained with previously collected user preference data. The controller parameters that had the highest preference ranking were provided to the exoskeleton, and the wearer responded with real-time feedback as a forced-choice comparison. Our approach was able to converge on controller parameters preferred by the wearer with an accuracy of 88% on average when compared with randomly generated parameters. User-preferred settings stabilized in 43 ± 7 queries. This work demonstrates that user preference can be leveraged to tune a partial-assist ankle exoskeleton in real time using a simple, intuitive interface, highlighting the potential for translating lower-limb wearable technologies into our daily lives.
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Affiliation(s)
- Ung Hee Lee
- Department of Mechanical Engineering, University of Michigan, 2350 Hayward, Ann Arbor, MI 48109, USA
- Department of Robotics, University of Michigan, 2505 Hayward, Ann Arbor, MI 48109, USA
- X, the Moonshot Factory, 100 Mayfield Ave., Mountain View, CA 94043, USA
| | - Varun S Shetty
- Department of Mechanical Engineering, University of Michigan, 2350 Hayward, Ann Arbor, MI 48109, USA
- Department of Robotics, University of Michigan, 2505 Hayward, Ann Arbor, MI 48109, USA
| | - Patrick W Franks
- X, the Moonshot Factory, 100 Mayfield Ave., Mountain View, CA 94043, USA
| | - Jie Tan
- Robotics at Google, 1600 Amphitheatre Parkway, Mountain View, CA 94043, USA
| | | | - Sehoon Ha
- Robotics at Google, 1600 Amphitheatre Parkway, Mountain View, CA 94043, USA
- Georgia Institute of Technology, 85 Fifth Street NW, Atlanta, GA 30308, USA
| | - Elliott J Rouse
- Department of Mechanical Engineering, University of Michigan, 2350 Hayward, Ann Arbor, MI 48109, USA
- Department of Robotics, University of Michigan, 2505 Hayward, Ann Arbor, MI 48109, USA
- X, the Moonshot Factory, 100 Mayfield Ave., Mountain View, CA 94043, USA
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Burgess S, Beeston A, Carr J, Siempou K, Simmonds M, Zanker Y. A Bio-Inspired Arched Foot with Individual Toe Joints and Plantar Fascia. Biomimetics (Basel) 2023; 8:455. [PMID: 37887586 PMCID: PMC10604005 DOI: 10.3390/biomimetics8060455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Revised: 09/19/2023] [Accepted: 09/21/2023] [Indexed: 10/28/2023] Open
Abstract
This paper presents the design and testing of an arched foot with several biomimetic features, including five individual MTP (toe) joints, four individual midfoot joints, and plantar fascia. The creation of a triple-arched foot represents a step further in bio-inspired design compared to other published designs. The arched structure creates flexibility that is similar to human feet with a vertical deflection of up to 12 mm. The individual toe joints enable abduction-adduction in the forefoot and therefore a natural pronation motion. Adult female bone data was obtained and converted into a CAD model to accurately identify the location of bones, joints, and arches. An analytical model is presented that gives the relationship between the vertical stiffness and horizontal stiffness of the longitudinal arches and therefore allows the optimization of stiffness elements. Experimental tests have demonstrated a vertical arch stiffness of 76 N/mm which is similar to adult human feet. The range of movement of the foot is similar to human feet with the following values: dorsi-plantarflexion (28°/37°), inversion-eversion (30°/15°), and abduction-adduction (30°/39°). Tests have also demonstrated a three-point contact with the ground that is similar to human feet.
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Affiliation(s)
- Stuart Burgess
- Bristol Robotics Laboratory, School of Electrical, Electronic & Mechanical Engineering, Bristol University, Bristol BS8 1QU, UK (Y.Z.)
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7
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Nichols KM, Adamczyk PG. Sensitivity of lower-limb joint mechanics to prosthetic forefoot stiffness with a variable stiffness foot in level-ground walking. J Biomech 2023; 147:111436. [PMID: 36701959 DOI: 10.1016/j.jbiomech.2023.111436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 12/14/2022] [Accepted: 01/04/2023] [Indexed: 01/15/2023]
Abstract
This paper presents the effectsof the Variable Stiffness Foot (VSF) on lower-limb joint mechanics in level-ground walking. Persons with transtibial amputations use lower-limb prostheses to restore level-ground walking, and foot stiffness and geometry have been shown to be the main factors for evaluating foot prostheses. Previous studies have validated the semi-active and stiffness modulation capabilities of the VSF. The core aim of this study is to investigate the mechanical effects of adjusting stiffness on knee and ankle mechanics for prosthetic users wearing the VSF. For this study, seven human participants walked with three different stiffnesses (compliant, medium, stiff) of the VSF across two force plates in a motion capture lab. Linear mixed models were utilized to estimate the significance and coefficients of determinations for the regression of stiffness on several biomechanical metrics. A stiffer VSF led to decreased ankle dorsiflexion angle (p < 0.0001, r2 = 0.90), increased ankle plantarflexor moment (p = 0.016, r2 = 0.40), increased knee extension (p = 0.021, r2 = 0.37), increased knee flexor moment (p = 0.0007, r2 = 0.63), and decreased magnitudes of prosthetic energy storage (p < 0.0001, r2 = 0.90), energy return (p = 0.0003, r2 = 0.67), and power (p < 0.0001, r2 = 0.74). These results imply lower ankle, knee, and hip moments, and more ankle angle range of motion using a less stiff VSF, which may be advantageous to persons walking with lower-limb prostheses. Responsive modulation of the VSF stiffness, according to these findings, could help overcome gait deviations associated with different slopes, terrain characteristics, or footwear.
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Affiliation(s)
- Kieran M Nichols
- University of Wisconsin-Madison Department of Mechanical Engineering, Room 3034, Mechanical Engineering Building, 1513 University Ave., Madison, WI 53706-1539, United States.
| | - Peter G Adamczyk
- University of Wisconsin-Madison Department of Mechanical Engineering, Room 3039, Mechanical Engineering Building, 1513 University Ave., Madison, WI 53706-1539, United States.
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8
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Shetty VS, Lee UH, Ingraham KA, Rouse EJ. A Data Driven Approach for Predicting Preferred Ankle Stiffness of a Quasi-Passive Prosthesis. IEEE Robot Autom Lett 2022. [DOI: 10.1109/lra.2022.3144790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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9
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Liu W, Zhong J, Wu R, Fylstra BL, Si J, Huang HH. Inferring Human-Robot Performance Objectives During Locomotion Using Inverse Reinforcement Learning and Inverse Optimal Control. IEEE Robot Autom Lett 2022. [DOI: 10.1109/lra.2022.3143579] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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10
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Ingraham KA, Remy CD, Rouse EJ. The role of user preference in the customized control of robotic exoskeletons. Sci Robot 2022; 7:eabj3487. [PMID: 35353602 DOI: 10.1126/scirobotics.abj3487] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
User preference is a promising objective for the control of robotic exoskeletons because it may capture the multifactorial nature of exoskeleton use. However, to use it, we must first understand its characteristics in the context of exoskeleton control. Here, we systematically measured the control preferences of individuals wearing bilateral ankle exoskeletons during walking. We investigated users' repeatability identifying their preferences and how preference changes with walking speed, device exposure, and between individuals with different technical backgrounds. Twelve naive and 12 knowledgeable nondisabled participants identified their preferred assistance in repeated trials by simultaneously self-tuning the magnitude and timing of peak torque. They were blinded to the control parameters and relied solely on their perception of the assistance to guide their tuning. We found that participants' preferences ranged from 7.9 to 19.4 newton-meters and 54.1 to 59.2 percent of the gait cycle. Across trials, participants repeatably identified their preferences with a mean standard deviation of 1.7 newton-meters and 1.5 percent of the gait cycle. Within a trial, participants converged on their preference in 105 seconds. As the experiment progressed, naive users preferred higher torque magnitude. At faster walking speeds, these individuals were more precise at identifying the magnitude of their preferred assistance. Knowledgeable users preferred higher torque than naive users. These results highlight that although preference is a dynamic quantity, individuals can reliably identify their preferences. This work motivates strategies for the control of lower limb exoskeletons in which individuals customize assistance according to their unique preferences and provides meaningful insight into how users interact with exoskeletons.
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Affiliation(s)
- K A Ingraham
- Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA.,Robotics Institute, University of Michigan, Ann Arbor, MI, USA
| | - C D Remy
- Institute for Nonlinear Mechanics, University of Stuttgart, Stuttgart, Germany
| | - E J Rouse
- Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA.,Robotics Institute, University of Michigan, Ann Arbor, MI, USA
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11
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Ma T, Zhu J, Zhang K, Xiao W, Liu H, Leng Y, Yu H, Fu C. Gait Phase Subdivision and Leg Stiffness Estimation during Stair Climbing. IEEE Trans Neural Syst Rehabil Eng 2022; 30:860-868. [PMID: 35349445 DOI: 10.1109/tnsre.2022.3163130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Leg stiffness is considered a prevalent parameter used in data analysis of leg locomotion during different gaits, such as walking, running, and hopping. Quantification of the change in support leg stiffness during stair ascent and descent will enhance our understanding of complex stair climbing gait dynamics. The purpose of this study is to investigate a methodology to estimate leg stiffness during stair climbing and subdivide the stair climbing gait cycle. Leg stiffness was determined as the ratio of changes in ground reaction force in the direction of the support leg Fl (leg force) to the respective changes in length Ll during the entire stance phase. Eight subjects ascended and descended an instrumented staircase at different cadences. In this study, the changes of leg force and length (force-length curve) are described as the leg stiffness curve, the slope of which represents the normalized stiffness during stair climbing. The stair ascent and descent gait cycles were subdivided based on the negative and positive work fluctuations of the center-of-mass (CoM) work rate curve and the characteristics of leg stiffness. We found that the leg stiffness curve consists of several segments in which the force-length relationship was similarly linear and the stiffness value was relatively constant; the phase divided by the leg stiffness curve corresponds to the phase divided by the CoM work rate curve. The results of this study may guide biomimetic control strategies for a wearable lower-extremity robot for the entire stance phase during stair climbing.
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Fanciullacci C, McKinney Z, Monaco V, Milandri G, Davalli A, Sacchetti R, Laffranchi M, De Michieli L, Baldoni A, Mazzoni A, Paternò L, Rosini E, Reale L, Trecate F, Crea S, Vitiello N, Gruppioni E. Survey of transfemoral amputee experience and priorities for the user-centered design of powered robotic transfemoral prostheses. J Neuroeng Rehabil 2021; 18:168. [PMID: 34863213 PMCID: PMC8643009 DOI: 10.1186/s12984-021-00944-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Accepted: 10/05/2021] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Transfemoral amputees experience a complex host of physical, psychological, and social challenges, compounded by the functional limitations of current transfemoral prostheses. However, the specific relationships between human factors and prosthesis design and performance characteristics have not yet been adequately investigated. The present study aims to address this knowledge gap. METHODS A comprehensive single-cohort survey of 114 unilateral transfemoral amputees addressed a broad range of demographic and clinical characteristics, functional autonomy, satisfaction and attitudes towards their current prostheses, and design priorities for an ideal transfemoral prosthesis, including the possibility of active assistance from a robotic knee unit. The survey was custom-developed based on several standard questionnaires used to assess motor abilities and autonomy in activities of daily living, prosthesis satisfaction, and quality of life in lower-limb amputees. Survey data were analyzed to compare the experience (including autonomy and satisfaction) and design priorities of users of transfemoral prostheses with versus without microprocessor-controlled knee units (MPKs and NMPKs, respectively), with a subsequent analyses of cross-category correlation, principal component analysis (PCA), cost-sensitivity segmentation, and unsupervised K-means clustering applied within the most cost-sensitive participants, to identify functional groupings of users with respect to their design priorities. RESULTS The cohort featured predominantly younger (< 50 years) traumatic male amputees with respect to the general transfemoral amputee population, with pronounced differences in age distribution and amputation etiology (traumatic vs. non-traumatic) between MPK and NMPK groups. These differences were further reflected in user experience, with MPK users reporting significantly greater overall functional autonomy, satisfaction, and sense of prosthesis ownership than those with NMPKs, in conjunction with a decreased incidence of instability and falls. Across all participants, the leading functional priorities for an ideal transfemoral prosthesis were overall stability, adaptability to variable walking velocity, and lifestyle-related functionality, while the highest-prioritized general characteristics were reliability, comfort, and weight, with highly variable prioritization of cost according to reimbursement status. PCA and user clustering analyses revealed the possibility for functionally relevant groupings of prosthesis features and users, based on their differential prioritization of these features-with implications towards prosthesis design tradeoffs. CONCLUSIONS This study's findings support the understanding that when appropriately prescribed according to patient characteristics and needs in the context of a proactive rehabilitation program, advanced transfemoral prostheses promote patient mobility, autonomy, and overall health. Survey data indicate overall stability, modularity, and versatility as key design priorities for the continued development of transfemoral prosthesis technology. Finally, observed associations between prosthesis type, user experience, and attitudes concerning prosthesis ownership suggest both that prosthesis characteristics influence device acceptance and functional outcomes, and that psychosocial factors should be specifically and proactively addressed during the rehabilitation process.
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Affiliation(s)
- Chiara Fanciullacci
- The BioRobotics Institute, Scuola Superiore Sant'Anna (Pisa), Viale Rinaldo Piaggio 34, 56025, Pontedera, Pisa, Italy
- Dept. of Excellence in Robotics and AI, Scuola Superiore Sant'Anna (Pisa), Piazza Martiri della Libertà, 33, 56127, Pisa, Italy
| | - Zach McKinney
- The BioRobotics Institute, Scuola Superiore Sant'Anna (Pisa), Viale Rinaldo Piaggio 34, 56025, Pontedera, Pisa, Italy.
- Dept. of Excellence in Robotics and AI, Scuola Superiore Sant'Anna (Pisa), Piazza Martiri della Libertà, 33, 56127, Pisa, Italy.
| | - Vito Monaco
- The BioRobotics Institute, Scuola Superiore Sant'Anna (Pisa), Viale Rinaldo Piaggio 34, 56025, Pontedera, Pisa, Italy
- Dept. of Excellence in Robotics and AI, Scuola Superiore Sant'Anna (Pisa), Piazza Martiri della Libertà, 33, 56127, Pisa, Italy
- Institute of Recovery and Care of Scientific Character (IRCCS), Fondazione Don Carlo Gnocchi Florence, Florence, Firenze, Italy
| | - Giovanni Milandri
- Rehab Technologies, Istituto Italiano di Tecnologia (IIT), via Morego, 30, 16163, Genoa, Genoa, Italy
| | - Angelo Davalli
- Centro Protesi INAIL - REPAIR Lab, Via Rabuina, 14, 40054, Vigorso di Budrio, Bologna, Italy
| | - Rinaldo Sacchetti
- Centro Protesi INAIL - REPAIR Lab, Via Rabuina, 14, 40054, Vigorso di Budrio, Bologna, Italy
| | - Matteo Laffranchi
- Rehab Technologies, Istituto Italiano di Tecnologia (IIT), via Morego, 30, 16163, Genoa, Genoa, Italy
| | - Lorenzo De Michieli
- Rehab Technologies, Istituto Italiano di Tecnologia (IIT), via Morego, 30, 16163, Genoa, Genoa, Italy
| | - Andrea Baldoni
- The BioRobotics Institute, Scuola Superiore Sant'Anna (Pisa), Viale Rinaldo Piaggio 34, 56025, Pontedera, Pisa, Italy
- Dept. of Excellence in Robotics and AI, Scuola Superiore Sant'Anna (Pisa), Piazza Martiri della Libertà, 33, 56127, Pisa, Italy
| | - Alberto Mazzoni
- The BioRobotics Institute, Scuola Superiore Sant'Anna (Pisa), Viale Rinaldo Piaggio 34, 56025, Pontedera, Pisa, Italy
- Dept. of Excellence in Robotics and AI, Scuola Superiore Sant'Anna (Pisa), Piazza Martiri della Libertà, 33, 56127, Pisa, Italy
| | - Linda Paternò
- The BioRobotics Institute, Scuola Superiore Sant'Anna (Pisa), Viale Rinaldo Piaggio 34, 56025, Pontedera, Pisa, Italy
- Dept. of Excellence in Robotics and AI, Scuola Superiore Sant'Anna (Pisa), Piazza Martiri della Libertà, 33, 56127, Pisa, Italy
| | - Elisa Rosini
- The BioRobotics Institute, Scuola Superiore Sant'Anna (Pisa), Viale Rinaldo Piaggio 34, 56025, Pontedera, Pisa, Italy
- Dept. of Excellence in Robotics and AI, Scuola Superiore Sant'Anna (Pisa), Piazza Martiri della Libertà, 33, 56127, Pisa, Italy
| | - Luigi Reale
- Healthcare Area, Fondazione ISTUD, Via Paolo Lomazzo, 19, 20154, Milano, Milan, Italy
| | - Fabio Trecate
- Dept. of Physical Medicine and Functional Re-Education, Istituto Palazzolo, Fondazione Don Carlo Gnocchi, Via Don Luigi Palazzolo, 21, 20149, Milano, Milan, Italy
| | - Simona Crea
- The BioRobotics Institute, Scuola Superiore Sant'Anna (Pisa), Viale Rinaldo Piaggio 34, 56025, Pontedera, Pisa, Italy
- Dept. of Excellence in Robotics and AI, Scuola Superiore Sant'Anna (Pisa), Piazza Martiri della Libertà, 33, 56127, Pisa, Italy
- Institute of Recovery and Care of Scientific Character (IRCCS), Fondazione Don Carlo Gnocchi Florence, Florence, Firenze, Italy
| | - Nicola Vitiello
- The BioRobotics Institute, Scuola Superiore Sant'Anna (Pisa), Viale Rinaldo Piaggio 34, 56025, Pontedera, Pisa, Italy
- Dept. of Excellence in Robotics and AI, Scuola Superiore Sant'Anna (Pisa), Piazza Martiri della Libertà, 33, 56127, Pisa, Italy
- Institute of Recovery and Care of Scientific Character (IRCCS), Fondazione Don Carlo Gnocchi Florence, Florence, Firenze, Italy
| | - Emanuele Gruppioni
- Centro Protesi INAIL - REPAIR Lab, Via Rabuina, 14, 40054, Vigorso di Budrio, Bologna, Italy
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