Motion prediction using electromyography and sonomyography for an individual with transhumeral limb loss

Engdahl, Susannah M.; Dhawan, Ananya; Lévay, György; Bashatah, Ahmed; Kaliki, Rahul R.; Sikdar, Siddhartha

doi:10.1101/2020.12.23.20248489

Cited by 7 publications

(4 citation statements)

References 40 publications

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“…This non-invasive approach allows a faster user training and the detection of both superficial and deep muscles, but even a small shift of the sensor can change the cross-section view and bring to the failure of the control algorithm. SMG signals have been used in combination with EMG signals, leading, to improved performances with respect to EMG alone (Xia et al 2019, Engdahl et al 2020a.…”

Section: Other Biosignalsmentioning

confidence: 99%

Active upper limb prostheses: a review on current state and upcoming breakthroughs

et al. 2023

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The journey of a prosthetic user is characterized by the opportunities and the limitations of a device that should enable activities of daily living (ADL). In particular, experiencing a bionic hand as a functional (and, advantageously, embodied) limb constitutes the premise for promoting the practice in using the device, mitigating the risk of its abandonment. In order to achieve such a result, different aspects need to be considered for making the artificial limb an effective solution to accomplish activities of daily living. According to such a perspective, this review aims at presenting the current issues and at envisioning the upcoming breakthroughs in upper limb prosthetic devices. We first define the sources of input and feedback involved in the system control (at user-level and device-level), alongside the related algorithms used in signal analysis. Moreover, the paper focuses on the user-centered design challenges and strategies that guide the implementation of novel solutions in this area in terms of technology acceptance, embodiment, and, in general, human-machine integration based on co-adaptive processes. We here provide the readers (belonging to the target communities of researchers, designers, developers, clinicians, industrial stakeholders, and end-users) with an overview of the state-of-the-art and the potential innovations in bionic hands features, hopefully promoting interdisciplinary efforts for solving current issues of ULPs. The integration of different perspectives should be the premise to a transdisciplinary intertwining leading to a truly holistic comprehension and improvement of the bionic hands design. Overall, this paper aims to move the boundaries in prosthetic innovation beyond the development of a tool and towards the engineering of human-centered artificial limbs.

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Section: Other Biosignalsmentioning

confidence: 99%

Active upper limb prostheses: a review on current state and upcoming breakthroughs

et al. 2023

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“…Among them, sonomyography (SMG) is the detection of change in muscle thickness or deformation using ultrasound imaging, depicted by temporal and spatial features. SMG has been studied to estimate and predict human motion intention and motion pattern recognition recently [95,96]. Engdahl et al [97] classified user performance during clinical tests of upper limb transradial procedure, based on analogous SMG spatial features, while exploring the repeatability isolation of SMG control signal over a short period of time during pre-prosthetic training.…”

Section: Other Bio-signalsmentioning

confidence: 99%

Wearable upper limb robotics for pervasive health: a review

2023

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Wearable robotics, also called exoskeletons, have been engineered for human-centered assistance for decades. They provide assistive technologies for maintaining and improving patients’ natural capabilities towards self-independence and also enable new therapy solutions for rehabilitation towards pervasive health. Upper limb exoskeletons can significantly enhance human manipulation with environments, which is crucial to patients’ independence, self-esteem, and quality of life. For long-term use in both in-hospital and at-home settings, there are still needs for new technologies with high comfort, biocompatibility, and operability. The recent progress in soft robotics has initiated soft exoskeletons (also called exosuits), which are based on controllable and compliant materials and structures. Remarkable literature reviews have been performed for rigid exoskeletons ranging from robot design to different practical applications. Due to the emerging state, few have been focused on soft upper limb exoskeletons. This paper aims to provide a systematic review of the recent progress in wearable upper limb robotics including both rigid and soft exoskeletons with a focus on their designs and applications in various pervasive healthcare settings. The technical needs for wearable robots are carefully reviewed and the assistance and rehabilitation that can be enhanced by wearable robotics are particularly discussed. The knowledge from rigid wearable robots may provide practical experience and inspire new ideas for soft exoskeleton designs. We also discuss the challenges and opportunities of wearable assistive robotics for pervasive health.

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“…Since then, this method has been validated by multiple groups [6]- [8] for the task of prosthetic control via computer vision-inspired pattern recognition pipelines. Although these methods showed remarkably higher performance compared to sEMG [9], [10], they are not ready for translation outside laboratory settings because of the large size of the US probes needed, and the low robustness they have against probe shifts and donning and doffing.…”

Section: Introductionmentioning

confidence: 99%

High Performance Wearable Ultrasound as a Human-Machine Interface for wrist and hand kinematic tracking

Sgambato¹,

Hasbani²,

Barsakcioglu³

et al. 2023

Preprint

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Objective: Non-invasive human machine interfaces (HMIs) have high potential in medical, entertainment, and industrial applications. Traditionally, surface electromyography (sEMG) has been used to track muscular activity and infer motor intention. As an alternative HMI approach, ultrasound (US) has been receiving increasing attention as an alternative to EMG. Here, we developed a novel portable US armband system with 24 channels and a multiple receiver approach and compared it with existing sEMG- and US-based HMIs on movement intention decoding. Methods: US and motion capture data was recorded while participants performed wrist and hand movements in up to four degrees of freedom (DoFs). A linear regression model was then used to predict the hand kinematics from the US (or sEMG, for comparison) features. The model was also implemented in real-time for a 3-DoF pointer control with minimal training data. Results: In offline analysis, the wearable US system achieved an average of 0.94 in the prediction of four DoFs of the wrist and hand. sEMG reached a performance of = 0.60. Conclusion: The newly proposed A-mode US bracelet setup and processing pipeline can regress hand kinematics for up to four DoFs with higher accuracies than other previously published interfaces based on sEMG or US data. The system allowed real-time control with minimal training data Significance: Wearable US technology may provide a new generation of HMIs that use muscular deformation to estimate limb movements. The proposed US system here provided robust proportional and simultaneous control over multiple DoFs.

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Motion prediction using electromyography and sonomyography for an individual with transhumeral limb loss

Cited by 7 publications

References 40 publications

Active upper limb prostheses: a review on current state and upcoming breakthroughs

Active upper limb prostheses: a review on current state and upcoming breakthroughs

Wearable upper limb robotics for pervasive health: a review

High Performance Wearable Ultrasound as a Human-Machine Interface for wrist and hand kinematic tracking

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