scholarly journals A noninvasive brain–computer interface approach for predicting motion intention of activities of daily living tasks for an upper-limb wearable robot

2018 ◽  
Vol 15 (2) ◽  
pp. 172988141876731 ◽  
Author(s):  
DSV Bandara ◽  
Jumpei Arata ◽  
Kazuo Kiguchi
2021 ◽  
Author(s):  
Michael J. Young ◽  
David J. Lin ◽  
Leigh R. Hochberg

AbstractRecent advances in brain–computer interface technology to restore and rehabilitate neurologic function aim to enable persons with disabling neurologic conditions to communicate, interact with the environment, and achieve other key activities of daily living and personal goals. Here we evaluate the principles, benefits, challenges, and future directions of brain–computer interfaces in the context of neurorehabilitation. We then explore the clinical translation of these technologies and propose an approach to facilitate implementation of brain–computer interfaces for persons with neurologic disease.


1986 ◽  
Vol 10 (2) ◽  
pp. 99-102
Author(s):  
V. E. Angliss

A new Contourhook terminal device was introduced to the Central Development Unit (CDU) in Australia through the therapist attending the exhibit at the ISPO World Congress, London, September, 1983. Ten upper limb amputees, who were experienced prosthetic users were selected for the evaluation. The patients were asked to attend the CDU to perform selected activities; 7 activities were designed to simulate hand prehension and 17 were bimanual activities of daily living. The activities were performed using the conventional split hook terminal device. The same activities were repeated using the Contourhook terminal device. Performances and patients' comments were recorded. In general the Contourhook was found to compare unfavourably with conventional terminal devices, aspects of the brochure were misleading and all patients preferred their previously worn terminal device.


F1000Research ◽  
2013 ◽  
Vol 2 ◽  
pp. 282 ◽  
Author(s):  
Giuliana Grimaldi ◽  
Mario Manto ◽  
Yassin Jdaoudi

Tremor is the most common movement disorder encountered during daily neurological practice. Tremor in the upper limbs causes functional disability and social inconvenience, impairing daily life activities. The response of tremor to pharmacotherapy is variable. Therefore, a combination of drugs is often required. Surgery is considered when the response to medications is not sufficient. However, about one third of patients are refractory to current treatments. New bioengineering therapies are emerging as possible alternatives. Our study was carried out in the framework of the European project “Tremor” (ICT-2007-224051). The main purpose of this challenging project was to develop and validate a new treatment for upper limb tremor based on the combination of functional electrical stimulation (FES; which has been shown to reduce upper limb tremor) with a brain-computer interface (BCI). A BCI-driven detection of voluntary movement is used to trigger FES in a closed-loop approach. Neurological tremor is detected using a matrix of EMG electrodes and inertial sensors embedded in a wearable textile. The identification of the intentionality of movement is a critical aspect to optimize this complex system. We propose a multimodal detection of the intentionality of movement by fusing signals from EEG, EMG and kinematic sensors (gyroscopes and accelerometry). Parameters of prediction of movement are extracted in order to provide global prediction plots and trigger FES properly. In particular, quality parameters (QPs) for the EEG signals, corticomuscular coherence and event-related desynchronization/synchronization (ERD/ERS) parameters are combined in an original algorithm which takes into account the refractoriness/responsiveness of tremor. A simulation study of the relationship between the threshold of ERD/ERS of artificial EEG traces and the QPs is also provided. Very interestingly, values of QPs were much greater than those obtained for the corticomuscular module alone.


2019 ◽  
Vol 237 (6) ◽  
pp. 1383-1395 ◽  
Author(s):  
Philipp Gulde ◽  
S. Schmidle ◽  
A. Aumüller ◽  
J. Hermsdörfer

2020 ◽  
pp. 156918612092660
Author(s):  
Haruka Yamamoto ◽  
Kazuya Takeda ◽  
Soichiro Koyama ◽  
Keisuke Morishima ◽  
Yuichi Hirakawa ◽  
...  

Background Previous studies have reported a relationship between upper limb motor function and activities of daily living. However, their relationship after removing the influence of lower limb motor function has not been clarified. Objective This study aimed to investigate the relationship between Fugl-Meyer assessment upper limb and total Functional Independence Measure motor score and between Fugl-Meyer assessment upper limb and each item contained in Functional Independence Measure motor score after eliminating the influence of the motor function of the affected lower limb. Methods This retrospective cross-sectional study included 58 subacute stroke patients. To investigate the relationship between the Fugl-Meyer assessment upper limb and total Functional Independence Measure motor score before and after removing the influence of Fugl-Meyer assessment lower limb, Spearman’s rank correlation coefficient and partial correlation analysis were used. Additionally, the relationship between Fugl-Meyer assessment upper limb and each item of Functional Independence Measure motor score after removing the influence was assessed. Results Before removing the influence of Fugl-Meyer assessment lower limb, Fugl-Meyer assessment upper limb was strongly correlated with total Functional Independence Measure motor score (r = 0.74, p < 0.001). However, it became weak after removing the influence (r = 0.27, p = 0.04). Regarding each item of Functional Independence Measure motor score, Fugl-Meyer assessment upper limb was correlated with grooming (r = 0.27, p = 0.04), bathing (r = 0.28, p = 0.03), dressing upper body (r = 0.33, p = 0.01), dressing lower body (r = 0.31, p = 0.02), and stair-climbing (r = 0.31, p = 0.02) after removing the influence. Conclusion These findings suggest that the relationship between the upper limb motor function and activities of daily living is strongly influenced by lower limb motor function.


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