Progress Towards the Development of the DeTOP Hand Prosthesis: A Sensorized Transradial Prosthesis for Clinical Use

Controzzi, Marco; Clemente, Francesco; Barone, Diego; Luciani, L. Bassi; Pierotti, N.; Bacchereti, M.; Cipriani, Christian

doi:10.1007/978-3-030-01845-0_20

Cited by 5 publications

(5 citation statements)

References 2 publications

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“…The Virtual Eggs Test is a modified version of the box and blocks test ( 53 ). It involves fragile blocks [i.e, “eggs”; ( 54 , 55 )]. The virtual eggs (40×40×40mm, ~80g) exploit a magnetic fuse mechanism which collapses (i.e., breaks) when grasped with a grip force larger than a specific threshold.…”

Section: Methodsmentioning

confidence: 99%

Should bionic limb control mimic the human body? Impact of control strategy on bionic hand skill learning

Schone

Udeozor

Moninghoff

et al. 2023

Preprint

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A longstanding engineering ambition has been to design anthropomorphic bionic limbs: devices that look like and are controlled in the same way as the biological body (biomimetic). The untested assumption is that biomimetic motor control enhances device embodiment, learning, generalization, and automaticity. To test this, we compared biomimetic and non-biomimetic control strategies for able-bodied participants when learning to operate a wearable myoelectric bionic hand. We compared motor learning across days and behavioural tasks for two training groups: Biomimetic (mimicking the desired bionic hand gesture with biological hand) and Arbitrary control (mapping an unrelated biological hand gesture with the desired bionic gesture). For both trained groups, training improved bionic limb control, reduced cognitive reliance, and increased embodiment over the bionic hand. Biomimetic users had more intuitive and faster control early in training. Arbitrary users matched biomimetic performance later in training. Further, arbitrary users showed increased generalization to a novel control strategy. Collectively, our findings suggest that biomimetic and arbitrary control strategies provide different benefits. The optimal strategy is likely not strictly biomimetic, but rather a flexible strategy within the biomimetic to arbitrary spectrum, depending on the user, available training opportunities and user requirements.

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Section: Methodsmentioning

confidence: 99%

Should bionic limb control mimic the human body? Impact of control strategy on bionic hand skill learning

Schone

Udeozor

Moninghoff

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…The virtual eggs test is a modified version of the box and blocks test 57 . It involves fragile blocks (that is, eggs 18,58 ). The virtual eggs (40 mm × 40 mm × 40 mm, ~80 g) exploit a magnetic fuse mechanism that collapses (that is, breaks) when grasped with a grip force larger than a specific threshold.…”

Section: Dexterity (Virtual Eggs Test)mentioning

confidence: 99%

Biomimetic versus arbitrary motor control strategies for bionic hand skill learning

Schone,

Udeozor,

Moninghoff

et al. 2024

Nat Hum Behav

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A long-standing engineering ambition has been to design anthropomorphic bionic limbs: devices that look like and are controlled in the same way as the biological body (biomimetic). The untested assumption is that biomimetic motor control enhances device embodiment, learning, generalization and automaticity. To test this, we compared biomimetic and non-biomimetic control strategies for non-disabled participants when learning to control a wearable myoelectric bionic hand operated by an eight-channel electromyography pattern-recognition system. We compared motor learning across days and behavioural tasks for two training groups: biomimetic (mimicking the desired bionic hand gesture with biological hand) and arbitrary control (mapping an unrelated biological hand gesture with the desired bionic gesture). For both trained groups, training improved bionic limb control, reduced cognitive reliance and increased embodiment over the bionic hand. Biomimetic users had more intuitive and faster control early in training. Arbitrary users matched biomimetic performance later in training. Furthermore, arbitrary users showed increased generalization to a new control strategy. Collectively, our findings suggest that biomimetic and arbitrary control strategies provide different benefits. The optimal strategy is probably not strictly biomimetic, but rather a flexible strategy within the biomimetic-to-arbitrary spectrum, depending on the user, available training opportunities and user requirements.

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“…The study was approved by the ethics board of the Scuola Superiore Sant'Anna (approval number 2/2017). The participant, a myoelectric hand regular user (male, 37 years old), was fitted with a research prosthesis including a custom socket, the wrist prototype assembled to an experimental multi-fingered hand (Mia Hand, Prensilia Srl, Italy) [6] and a battery. The socket included two surface EMG sensors (MyoBock 13E200, Ottobock, Germany) on antagonist muscles (wrist flexors/extensors) and a commercial quick-disconnect flange (9S266, Ottobock, Germany) for connection with the wrist.…”

Section: A Pilot Functional Testmentioning

confidence: 99%

“…The work of C.C. while new prosthetic components (artificial hands and control systems) became commercially available [3]- [5], or are approaching the market, such as the prosthetic hands Mia [6], Hannes [7], and SoftHand Pro-H [8]; and the control systems Complete Control and Myo Plus [5]. Nonetheless, these extraordinary advancements overlooked the peculiar biomechanical function of the wrist in a manipulation task.…”

Section: Introductionmentioning

confidence: 99%

A 2-Degree-of-Freedom Quasi-Passive Prosthetic Wrist With Two Levels of Compliance

Cappello

Accolti

Gherardini

et al. 2023

IEEE Robot. Autom. Lett.

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Restoring the function of a missing hand is still a grand challenge for bioengineers. We witnessed significant recent advances in the development of myoelectric hand prostheses and their controllers. Conversely, the wrist joint is generally overlooked in prosthetics, despite playing a fundamental role in orienting the hand in space. Indeed, it may account for several degrees of freedom of the hand in reducing compensatory movements. We acknowledge that an active, three-degree-offreedom prosthetic wrist is not a viable option for a self-contained prosthesis, therefore we merged in one design two opposed passive behaviors. The proposed wrist can automatically transition between a compliant mode, which exhibits relatively low stiffness allowing for passive motions around two rotational axes (wrist flexion/extension and radial/ulnar deviation), and a stiff mode, which grants stability during manipulation. To switch mode, no additional control input -hence cognitive burden -from the user is needed: it occurs synchronously with the prosthetic hand opening and closing motion, such that the wrist is compliant during reaching and stiff during manipulation. Our device proved reliable on the test bench and useful in a pilot test with an amputee volunteer, motivating further developments and more extensive testing to prove its effectiveness.

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Progress Towards the Development of the DeTOP Hand Prosthesis: A Sensorized Transradial Prosthesis for Clinical Use

Cited by 5 publications

References 2 publications

Should bionic limb control mimic the human body? Impact of control strategy on bionic hand skill learning

Should bionic limb control mimic the human body? Impact of control strategy on bionic hand skill learning

Biomimetic versus arbitrary motor control strategies for bionic hand skill learning

A 2-Degree-of-Freedom Quasi-Passive Prosthetic Wrist With Two Levels of Compliance

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