Current rates of prosthetic usage in upper-limb amputees – have innovations had an impact on device acceptance?

Salminger, Stefan; Stino, Heiko; Pichler, Lukas H; Gstoettner, Clemens; Sturma, Agnes; Mayer, Johannes A.; Szivak, M.; Aszmann, Oskar C.

doi:10.1080/09638288.2020.1866684

Cited by 110 publications

(97 citation statements)

References 37 publications

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“…The windowing procedure follows the same approach described for the previous datasets. For each session, repetitions (1,3,4,6,7,9,10,12) were dedicated to training, while repetitions (2,5,8,11) were used as test. In this case, the training set was also subsampled by a factor of 10 at regular intervals.…”

Section: Datamentioning

confidence: 99%

“…The use of myoelectic signals has several advantages with respect to body-powered prostheses because the user does not need harnesses, the signal is recorded non-invasively on the skin and the effort required to control it is comparable to the one of an intact limb [6]. However, user acceptance is still low because of a lack of intuitive and dexterous control [7]: the rate of prosthesis abandonment is about 44% [8]. The control should be intuitive for the user, robust to arm and electrode positioning, adaptive to changes such as fatigue or sweating and easy to train [9].…”

Section: Introductionmentioning

confidence: 99%

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Questioning Domain Adaptation in Myoelectric Hand Prostheses Control: An Inter- and Intra-Subject Study

Marano

Brambilla

Mira

et al. 2021

Sensors

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One major challenge limiting the use of dexterous robotic hand prostheses controlled via electromyography and pattern recognition relates to the important efforts required to train complex models from scratch. To overcome this problem, several studies in recent years proposed to use transfer learning, combining pre-trained models (obtained from prior subjects) with training sessions performed on a specific user. Although a few promising results were reported in the past, it was recently shown that the use of conventional transfer learning algorithms does not increase performance if proper hyperparameter optimization is performed on the standard approach that does not exploit transfer learning. The objective of this paper is to introduce novel analyses on this topic by using a random forest classifier without hyperparameter optimization and to extend them with experiments performed on data recorded from the same patient, but in different data acquisition sessions. Two domain adaptation techniques were tested on the random forest classifier, allowing us to conduct experiments on healthy subjects and amputees. Differently from several previous papers, our results show that there are no appreciable improvements in terms of accuracy, regardless of the transfer learning techniques tested. The lack of adaptive learning is also demonstrated for the first time in an intra-subject experimental setting when using as a source ten data acquisitions recorded from the same subject but on five different days.

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Section: Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Questioning Domain Adaptation in Myoelectric Hand Prostheses Control: An Inter- and Intra-Subject Study

Marano

Brambilla

Mira

et al. 2021

Sensors

View full text Add to dashboard Cite

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“…The last two decades have seen increased academic interest in prosthesis user needs and satisfaction [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18]. However, proposed advancements that address the identified needs have not led to a reduction in device abandonment, which has highlighted the gap between published research and its translation into clinical practice [6,19]. Furthermore, evidence has highlighted that laboratory metrics and findings are not always consistent with clinical and/or outcomes of importance to users [20].…”

Section: Introductionmentioning

confidence: 99%

Co-Creation Facilitates Translational Research on Upper Limb Prosthetics

et al. 2021

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People who either use an upper limb prosthesis and/or have used services provided by a prosthetic rehabilitation centre, hereafter called users, are yet to benefit from the fast-paced growth in academic knowledge within the field of upper limb prosthetics. Crucially over the past decade, research has acknowledged the limitations of conducting laboratory-based studies for clinical translation. This has led to an increase, albeit rather small, in trials that gather real-world user data. Multi-stakeholder collaboration is critical within such trials, especially between researchers, users, and clinicians, as well as policy makers, charity representatives, and industry specialists. This paper presents a co-creation model that enables researchers to collaborate with multiple stakeholders, including users, throughout the duration of a study. This approach can lead to a transition in defining the roles of stakeholders, such as users, from participants to co-researchers. This presents a scenario whereby the boundaries between research and participation become blurred and ethical considerations may become complex. However, the time and resources that are required to conduct co-creation within academia can lead to greater impact and benefit the people that the research aims to serve.

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“…Advanced prosthetic solutions, developed within academia, aim to meet the needs of prosthesis users (Nazarpour, 2020a). However, currently available prostheses fall short in addressing user needs, for example: function and sensory feedback, leading to device abandonment rates of up to 44% (Postema et al, 1999(Postema et al, , 2016Davidson, 2002;Biddiss and Chau, 2007a,b;Østlie et al, 2012;Sugawara et al, 2018;Salminger et al, 2020). For body powered and electronic devices, the abandonment rates of 26 and 23% have been reported (Biddiss and Chau, 2007b).…”

Section: Introductionmentioning

confidence: 99%

Co-creation and User Perspectives for Upper Limb Prosthetics

et al. 2021

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People who either use an upper limb prosthesis and/or have used services provided by a prosthetic rehabilitation centre, experience limitations of currently available prosthetic devices. Collaboration between academia and a broad range of stakeholders, can lead to the development of solutions that address peoples' needs. By doing so, the rate of prosthetic device abandonment can decrease. Co-creation is an approach that can enable collaboration of this nature to occur throughout the research process. We present findings of a co-creation project that gained user perspectives from a user survey, and a subsequent workshop involving: people who use an upper limb prosthesis and/or have experienced care services (users), academics, industry experts, charity executives, and clinicians. The survey invited users to prioritise six themes, which academia, clinicians, and industry should focus on over the next decade. The prioritisation of the themes concluded in the following order, with the first as the most important: function, psychology, aesthetics, clinical service, collaboration, and media. Within five multi-stakeholder groups, the workshop participants discussed challenges and collaborative opportunities for each theme. Workshop groups prioritised the themes based on their discussions, to highlight opportunities for further development. Two groups chose function, one group chose clinical service, one group chose collaboration, and another group chose media. The identified opportunities are presented within the context of the prioritised themes, including the importance of transparent information flow between all stakeholders; user involvement throughout research studies; and routes to informing healthcare policy through collaboration. As the field of upper limb prosthetics moves toward in-home research, we present co-creation as an approach that can facilitate user involvement throughout the duration of such studies.

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Current rates of prosthetic usage in upper-limb amputees – have innovations had an impact on device acceptance?

Cited by 110 publications

References 37 publications

Questioning Domain Adaptation in Myoelectric Hand Prostheses Control: An Inter- and Intra-Subject Study

Questioning Domain Adaptation in Myoelectric Hand Prostheses Control: An Inter- and Intra-Subject Study

Co-Creation Facilitates Translational Research on Upper Limb Prosthetics

Co-creation and User Perspectives for Upper Limb Prosthetics

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