Neurocognitive barriers to the embodiment of technology

Makin, Tamar R.; Vignemont, Frédérique de; Faisal, A. Aldo

doi:10.1038/s41551-016-0014

Cited by 128 publications

(142 citation statements)

References 14 publications

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“…Methods of perceptual‐motor learning can make the patients easily adapted and trained to these new conditions, as well as implicit or explicit learning modalities, according to the experiences that technology allows to do [53]. Sensory and motor systems are synchronously engaged during perceptual‐motor performance induced by robotic interventions, and this could facilitate perceptual‐motor skill learning and transfer [54].…”

Section: Discussionmentioning

confidence: 99%

Exoskeleton and End‐Effector Robots for Upper and Lower Limbs Rehabilitation: Narrative Review

Molteni

Gasperini

Cannaviello

et al. 2018

PM&R

193

143

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Recovery of upper and lower limbs function is essential to reach independence in daily activities in patients with upper motor neuron syndrome (UMNS). Rehabilitation can provide a guide for motor recovery influencing the neurobiology of neuronal plasticity providing controlled, repetitive, and variable patterns. Increasing therapy dosage, intensity, number of repetition, execution of task‐oriented exercises, and combining top‐down and bottom‐up approaches can promote plasticity and functional recovery. Robotic exoskeletons for upper and lower limbs, based on the principle of motor learning, have been introduced in neurorehabilitation. In this narrative review, we provide an overview of literature published on exoskeleton devices for upper and lower limb rehabilitation in patients with UMNS; we summarized the available current research evidence and outlined the new challenges that neurorehabilitation and bioengineering will have to face in the upcoming years. Robotic treatment should be considered a rehabilitation tool useful to generate a more complex, controlled multisensory stimulation of the patient and useful to modify the plasticity of neural connections through the experience of movement. Efficacy and efficiency of robotic treatment should be defined starting from intensity, complexity, and specificity of the robotic exercise, that are related to human‐robot interaction in terms of motion, emotion, motivation, meaning of the task, feedback from the exoskeleton, and fine motion assistance. Duration of a single session, global period of the treatment, and the timing for beginning of robotic treatment are still open questions. There is the need to evaluate and individualize the treatment according to patient's characteristics. Robotic devices for upper and lower limbs open a window to define therapeutic modalities as possible beneficial drug, able to boost biological, neurobiological, and epigenetic changes in central nervous system. We need to implement large and innovative research programs to answer these issues in the near future.

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Section: Discussionmentioning

confidence: 99%

Exoskeleton and End‐Effector Robots for Upper and Lower Limbs Rehabilitation: Narrative Review

Molteni

Gasperini

Cannaviello

et al. 2018

PM&R

193

143

View full text Add to dashboard Cite

show abstract

“…The rest of the parameters for SmallNet were given by the pwelch-allF-grid preprocessing, i.e. filter shape [3,3] and number of kernels 3, as explained in next section. Figure 4 shows the preprocessing pathways that were followed by the raw data aiming to reduce input dimensionality and enhance features that would help SmallNet better discriminate among mental tasks.…”

Section: Mental Tasks Evaluation -Stagementioning

confidence: 99%

“…While invasive methods have made considerable progress [2], these remain experimental, exclude considerable number of potential end-users due to costs and medical risks, and require brain surgery and subsequent interventions to manage implanted neurotechnology [3]. This is why non-invasive approaches remain at the forefront of practical deployed neurotechnology for paralysed users, with electroencephalographic (EEG) recordings being the most prominent exponent.…”

Section: Introductionmentioning

confidence: 99%

“…This broad range of different approaches hinders the objective comparison across studies and algorithms. In these circumstances the Cybathlon provides with a unique and equal setting for evaluating and proposing different BCI cedric.colas@icm-institute.org 3 Dr. Faisal Dr Faisal is a Senior Lecturer in Neurotechnology jointly at the Dept. of Bioengineering and the Dept.…”

Section: Introductionmentioning

confidence: 99%

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Convolutional neural network, personalised, closed-loop Brain-Computer Interfaces for multi-way control mode switching in real-time

Ortega

Colas

Faisal

2018

Preprint

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Abstract-Brain-Computer Interfaces are communication systems that use brain signals as commands to a device. Despite being the only means by which severely paralysed people can interact with the world most effort is focused on improving and testing algorithms offline, not worrying about their validation in real life conditions. The Cybathlon's BCI-race offers a unique opportunity to apply theory in real life conditions and fills the gap. We present here a Neural Network architecture for the 4-way classification paradigm of the BCI-race able to run in real-time. The procedure to find the architecture and best combination of mental commands best suiting this architecture for personalised used are also described. Using spectral power features and one layer convolutional plus one fully connected layer network we achieve a performance similar to that in literature for 4-way classification and prove that following our method we can obtain similar accuracies online and offline closing this well-known gap in BCI performances.

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“…Hence, they are not only cognitively burdensome for their users but furthermore seem to subconsciously counteract embodiment. Increased cognitive effort might even be related to reduced embodiment going along with frustration (Castellini et al, 2014; Makin et al, 2017). Moreover, both, increased cognitive effort and reduced embodiment, affect user satisfaction which suits the observation of frequent device abandonment (Jiang et al, 2012).…”

mentioning

confidence: 99%

Commentary: Proceedings of the First Workshop on Peripheral Machine Interfaces: Going beyond Traditional Surface Electromyography

Beckerle

2017

Front. Neurorobot.

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Neurocognitive barriers to the embodiment of technology

Abstract: Neurocognitive considerations to the embodiment of technologyThe increasing integration of wearable technologies with the human body raises neural and cognitive challenges and opportunities.

Cited by 128 publications

References 14 publications

Exoskeleton and End‐Effector Robots for Upper and Lower Limbs Rehabilitation: Narrative Review

Exoskeleton and End‐Effector Robots for Upper and Lower Limbs Rehabilitation: Narrative Review

Convolutional neural network, personalised, closed-loop Brain-Computer Interfaces for multi-way control mode switching in real-time

Commentary: Proceedings of the First Workshop on Peripheral Machine Interfaces: Going beyond Traditional Surface Electromyography

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