Novel Upper-Limb Rehabilitation System Based on Attention Technology for Post-Stroke Patients: A Preliminary Study

Lin, Bor-Shing; Chen, Jean-Lon; Hsu, Hsiu-Chi

doi:10.1109/access.2017.2785122

Cited by 43 publications

(59 citation statements)

References 37 publications

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“…BTR is a well-described, spontaneous EEG marker of attention, with higher BTR being associated with higher levels of attention (Lin, Chen, & Hsu, 2018;Kropotov, 2008b;Barry, Clarke, & Johnstone, 2003). The most commonly used electrode for this measure has been Cz (Lin et al, 2018;Kropotov, 2008b), but it has also been calculated by averaging across all electrode (Barry et al, 2003). Here, we utilized the grand average over all electrode approach for assessing BTR, with the theta and beta power from all 19-channel prestimulus epochs calculated using the EEGLab built-in function pop_spectopo().…”

Section: Neural Measures Of Arousal and Attentionmentioning

confidence: 99%

Enhanced Attention Using Head-mounted Virtual Reality

Anguera

Javed

et al. 2020

Journal of Cognitive Neuroscience

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Some evidence suggests that experiencing a given scenario using virtual reality (VR) may engage greater attentional resources than experiencing the same scenario on a 2D computer monitor. However, the underlying neural processes associated with these VR-related effects, especially those pertaining to current consumer-friendly head-mounted displays of virtual reality (HMD-VR), remain unclear. Here, two experiments were conducted to compare task performance and EEG-based neural metrics captured during a perceptual discrimination task presented on two different viewing platforms. Forty participants (20–25 years old) completed this task using both an HMD-VR and traditional computer monitor in a within-group, randomized design. Although Experiment I ( n = 20) was solely behavioral in design, Experiment II ( n = 20) utilized combined EEG recordings to interrogate the neural correlates underlying potential performance differences across platforms. These experiments revealed that (1) there was no significant difference in the amount of arousal measured between platforms and (2) selective attention abilities in HMD-VR environment were enhanced from both a behavioral and neural perspective. These findings suggest that the allocation of attentional resources in HMD-VR may be superior to approaches more typically used to assess these abilities (e.g., desktop/laptop/tablet computers with 2D screens).

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Section: Neural Measures Of Arousal and Attentionmentioning

confidence: 99%

Enhanced Attention Using Head-mounted Virtual Reality

Anguera

Javed

et al. 2020

Journal of Cognitive Neuroscience

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“…Lin et al proposed upper limb rehabilitation system merging motion tracking device, EEG device and virtual reality game. The training system developed enhanced motor functions and assistance in rehabilitation [46]. BCI Speller utilizing eyes-closed (EC) and double-blinking (DB) EEG signals and a three-class support vector machine will be developed.…”

Section: Related Workmentioning

confidence: 99%

Brain-Controlled Adaptive Lower Limb Exoskeleton for Rehabilitation of Post-Stroke Paralyzed

Vinoj

Jacob²,

Menon³

et al. 2019

IEEE Access

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Stroke is a standout amongst the most imperative reasons of incapacity on the planet. Due to partial or full paralysis, the majority of patients are compelled to rely upon parental figures and caregivers in residual life. With post-stroke rehabilitation, different types of assistive technologies have been proposed to offer developments to the influenced body parts of the incapacitated. In a large portion of these devices, the clients neither have control over the tasks nor can get feedback concerning the status of the exoskeleton. Additionally, there is no arrangement to detect user movements or accidental fall. The proposed framework tackles these issues utilizing a brain-controlled lower limb exoskeleton (BCLLE) in which the exoskeleton movements are controlled based on user intentions. An adaptive mechanism based on sensory feedback is integrated to reduce the system false rate. The BCLLE uses a flexible design which can be customized according to the degree of disability. The exoskeleton is modeled according to the human body anatomy, which makes it a perfect fit for the affected body part. The BCLLE system also automatically identifies the status of the paralyzed person and transmits information securely using Novel-T Symmetric Encryption Algorithm (NTSA) to caregivers in case of emergencies. The exoskeleton is fitted with motors which are controlled by the brain waves of the user with an electroencephalogram (EEG) headset. The EEG headset captures the human intentions based on the signals acquired from the brain. The brain-computer interface converts these signals into digital data and is interfaced with the motors via a microcontroller. The microcontroller controls the high torque motors connected to the exoskeleton's joints based on user intentions. Classification accuracy of more than 80% is obtained with our proposed method which is much higher compared with all existing solutions. INDEX TERMS Artificial skin, assistive technologies, brain-computer interface (BCI), electroencephalogram (EEG), brain-controlled exoskeleton, paralyzed, stroke.

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“…In this way, physicians could observe the patient's upper extremity motion to prevent risky movements or to be sure that the patient is controlling the arm in the right direction based on his/her rehabilitation scheme. Moreover, some researchers have investigated the use of standard medical devices in serious gaming rehabilitation systems, including encephalogram [142][143][144] to monitor brain activity and ultrasound to estimate finger force [145]. A summary of the devices and their different combinations used to date is presented in Figure 4.…”

Section: Commercial Sensorsmentioning

confidence: 99%

Serious Gaming Technology in Upper Extremity Rehabilitation: Scoping Review

Koutsiana¹,

Ladakis²,

Fotopoulos³

et al. 2020

JMIR Serious Games

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Background: Serious gaming has increasingly gained attention as a potential new component in clinical practice. Specifically, its use in the rehabilitation of motor dysfunctions has been intensively researched during the past three decades. Objective: The aim of this scoping review was to evaluate the current role of serious games in upper extremity rehabilitation, and to identify common methods and practice as well as technology patterns. This objective was approached via the exploration of published research efforts over time. Methods: The literature search, using the PubMed and Scopus databases, included articles published from 1999 to 2019. The eligibility criteria were (i) any form of game-based arm rehabilitation; (ii) published in a peer-reviewed journal or conference; (iii) introduce a game in an electronic format; (iv) published in English; and (v) not a review, meta-analysis, or conference abstract. The search strategy identified 169 relevant articles. Results: The results indicated an increasing research trend in the domain of serious gaming deployment in upper extremity rehabilitation. Furthermore, differences regarding the number of publications and the game approach were noted between studies that used commercial devices in their rehabilitation systems and those that proposed a custom-made robotic arm, glove, or other devices for the connection and interaction with the game platform. A particularly relevant observation concerns the evaluation of the introduced systems. Although one-third of the studies evaluated their implementations with patients, in most cases, there is the need for a larger number of participants and better testing of the rehabilitation scheme efficiency over time. Most of the studies that included some form of assessment for the introduced rehabilitation game mentioned user experience as one of the factors considered for evaluation of the system. Besides user experience assessment, the most common evaluation method involving patients was the use of standard medical tests. Finally, a few studies attempted to extract game features to introduce quantitative measurements for the evaluation of patient improvement. Conclusions: This paper presents an overview of a significant research topic and highlights the current state of the field. Despite extensive attempts for the development of gamified rehabilitation systems, there is no definite answer as to whether a serious game is a favorable means for upper extremity functionality improvement; however, this certainly constitutes a supplementary means for motivation. The development of a unified performance quantification framework and more extensive experiments could generate richer evidence and contribute toward this direction.

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Novel Upper-Limb Rehabilitation System Based on Attention Technology for Post-Stroke Patients: A Preliminary Study

Cited by 43 publications

References 37 publications

Enhanced Attention Using Head-mounted Virtual Reality

Enhanced Attention Using Head-mounted Virtual Reality

Brain-Controlled Adaptive Lower Limb Exoskeleton for Rehabilitation of Post-Stroke Paralyzed

Serious Gaming Technology in Upper Extremity Rehabilitation: Scoping Review

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