Moving Brain Computer Interfaces towards Home Based Systems for People with Acquired Brain Injury

Daly, Jean; Armstrong, Elaine; Thomson, Eileen; Martin, Suzanne

doi:10.1007/978-3-319-13105-4_18

Cited by 4 publications

(6 citation statements)

References 3 publications

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“…Apart from Daly et al [34] study, our study is one of the rare usability studies of a therapeutic use of BCI. Our participants used BCI on their own for 2 months, that provided the opportunity to observe not only experiences of patients, but also of the research team providing service support (communication channels, frequency of communication, technical issues).…”

Section: Discussionmentioning

confidence: 99%

“…Brain computer interface usability studies with patients have been tested on several paradigms, including BCI spellers, painting, gaming, environmental control (smart homes) and cognitive rehabilitation [30, 31, 34–43]. However, a very small number of these studies [30, 37, 40] have been performed in patients’ homes, and a trained specialist was often present.…”

Section: Introductionmentioning

confidence: 99%

“…In a subsequent study, Miralles et al [30] tested the “Back home” system on a number of patients at hospital but only two patients managed to use the device in their homes for 6 weeks. Daly’s et al [34] usability study of BCI for cognitive rehabilitation of people with traumatic brain injury initially involved 10 participants but only 5 completed all three sessions. These studies demonstrate challenges of organising studies outside the controlled laboratory or clinical environments.…”

Section: Introductionmentioning

confidence: 99%

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Home used, patient self-managed, brain-computer interface for the management of central neuropathic pain post spinal cord injury: usability study

Al-Taleb

Purcell

Fraser

et al. 2019

J NeuroEngineering Rehabil

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BackgroundCentral Neuropathic Pain (CNP) is a frequent chronic condition in people with spinal cord injury (SCI). Previously, we showed that using laboratory brain-computer interface (BCI) technology for neurofeedback (NFB) training, it was possible to reduce CNP in people with SCI. In this study, we show results of patient self-managed treatment in their homes with a BCI-NFB using a consumer EEG device.MethodsUsers: People with chronic SCI (17 M, 3 F, 50.6 ± 14.1 years old), and CNP ≥4 on a Visual Numerical Scale. Location: Laboratory training (up to 4 sessions) followed by home self-managed NFB. User Activity: Upregulating the EEG alpha band power by 10% above a threshold and at the same time downregulating the theta and upper beta (20-30 Hz) band power by 10% at electrode location C4. Technology: A consumer grade multichannel EEG headset (Epoch, Emotiv, USA), a tablet computer and custom made NFB software. Evaluation: EEG analysis, before and after NFB assessment, interviews and questionnaires.ResultsEffectiveness: Out of 20 initially assessed participants, 15 took part in the study. Participants used the system for 6.9 ± 5.5 (median 4) weeks. Twelve participants regulated their brainwaves in a frequency specific manner and were most successful upregulating the alpha band power. However they typically upregulated power around their individual alpha peak (7.6 ± 0.8 Hz) that was lower than in people without CNP. The reduction in pain experienced was statistically significant in 12 and clinically significant (greater than 30%) in 8 participants. Efficiency: The donning was between 5 and 15 min, and approximately 10–20% of EEG data recorded in the home environment was noise. Participants were mildly stressed when self-administering NFB at home (2.4 on a scale 1–10). User satisfaction: Nine participants who completed the final assessment reported a high level of satisfaction (QUESQ, 4.5 ± 0.8), naming effectiveness, ease of use and comfort as main priorities. The main factors influencing frequency of NFB training were: health related issues, free time and pain intensity.ConclusionPortable NFB is a feasible solution for home-based self-managed treatment of CNP. Compared to pharmacological treatments, NFB has less side effects and provides users with active control over pain.Trial registrationGN15NE124, Registered 9th June 2016.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Home used, patient self-managed, brain-computer interface for the management of central neuropathic pain post spinal cord injury: usability study

Al-Taleb

Purcell

Fraser

et al. 2019

J NeuroEngineering Rehabil

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“…Subjects with disabilities tend to be older and subjects in the healthy group tend to be younger. Six articles reported the gender distribution of their participants [ 65 , 66 , 76 , 148 – 150 ]. Among most of them, the percentage of male subjects was more than 50%.…”

Section: Study 2: Usability Evaluation Metrics For Hybrid Bcismentioning

confidence: 99%

“…Among most of them, the percentage of male subjects was more than 50%. Sixteen studies recruited participants with disabilities [ 55 , 65 , 66 , 76 , 143 – 145 , 148 – 156 ]. The most common type of disability was sclerosis [ 52 , 55 , 65 , 66 , 76 , 143 – 145 , 149 – 151 , 153 – 155 ].…”

Section: Study 2: Usability Evaluation Metrics For Hybrid Bcismentioning

confidence: 99%

A systematic review of hybrid brain-computer interfaces: Taxonomy and usability perspectives

et al. 2017

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A new Brain-Computer Interface (BCI) technique, which is called a hybrid BCI, has recently been proposed to address the limitations of conventional single BCI system. Although some hybrid BCI studies have shown promising results, the field of hybrid BCI is still in its infancy and there is much to be done. Especially, since the hybrid BCI systems are so complicated and complex, it is difficult to understand the constituent and role of a hybrid BCI system at a glance. Also, the complicated and complex systems make it difficult to evaluate the usability of the systems. We systematically reviewed and analyzed the current state-of-the-art hybrid BCI studies, and proposed a systematic taxonomy for classifying the types of hybrid BCIs with multiple taxonomic criteria. After reviewing 74 journal articles, hybrid BCIs could be categorized with respect to 1) the source of brain signals, 2) the characteristics of the brain signal, and 3) the characteristics of operation in each system. In addition, we exhaustively reviewed recent literature on usability of BCIs. To identify the key evaluation dimensions of usability, we focused on task and measurement characteristics of BCI usability. We classified and summarized 31 BCI usability journal articles according to task characteristics (type and description of task) and measurement characteristics (subjective and objective measures). Afterwards, we proposed usability dimensions for BCI and hybrid BCI systems according to three core-constructs: Satisfaction, effectiveness, and efficiency with recommendations for further research. This paper can help BCI researchers, even those who are new to the field, can easily understand the complex structure of the hybrid systems at a glance. Recommendations for future research can also be helpful in establishing research directions and gaining insight in how to solve ergonomics and HCI design issues surrounding BCI and hybrid BCI systems by usability evaluation.

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Brain–Computer Interface Controlled Functional Electrical Stimulation for Rehabilitation of Hand Function in People with Spinal Cord Injury

Vučković

Osuagwu

Al-Taleb

et al. 2021

Neuroprosthetics and Brain-Computer Interfaces in Spinal Cord Injury

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Moving Brain Computer Interfaces towards Home Based Systems for People with Acquired Brain Injury

Cited by 4 publications

References 3 publications

Home used, patient self-managed, brain-computer interface for the management of central neuropathic pain post spinal cord injury: usability study

Home used, patient self-managed, brain-computer interface for the management of central neuropathic pain post spinal cord injury: usability study

A systematic review of hybrid brain-computer interfaces: Taxonomy and usability perspectives

Brain–Computer Interface Controlled Functional Electrical Stimulation for Rehabilitation of Hand Function in People with Spinal Cord Injury

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