Bedside computer access for an individual with severe and multiple disabilities: A case study

Blain, Stefanie; McKeever, Patricia; Chau, Tom

doi:10.3109/17483100903323275

Cited by 23 publications

(11 citation statements)

References 28 publications

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“…Strategically mounted pushbuttons, proximity sensors or microswitches can capture intentional gross physical movements such as head tilting [2] or tongue protrusions [3]. Extant fine motor control can be detected via electromyography [4,5], mechanomyography [6] and electrooculography [7].…”

Section: Introductionmentioning

confidence: 99%

Autonomic responses to correct outcomes and interaction errors during single-switch scanning among children with severe spastic quadriplegic cerebral palsy

Leung

Chau

2014

Journal of NeuroEngineering and Rehabilitation

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BackgroundThe combination of single-switch access technology and scanning is the most promising means of augmentative and alternative communication for many children with severe physical disabilities. However, the physical impairment of the child and the technology’s limited ability to interpret the child’s intentions often lead to false positives and negatives (corresponding to accidental and missed selections, respectively) occurring at rates that frustrate the user and preclude functional communication. Multiple psychophysiological studies have associated cardiac deceleration and increased phasic electrodermal activity with self-realization of errors among able-bodied individuals. Thus, physiological measurements have potential utility at enhancing single-switch access, provided that such prototypical autonomic responses exist in persons with profound disabilities.MethodsThe present case series investigated the autonomic responses of three pediatric single-switch users with severe spastic quadriplegic cerebral palsy, in the context of a single-switch letter matching activity. Each participant exhibited distinct autonomic responses to activity engagement.ResultsOur analysis confirmed the presence of the autonomic response pattern of cardiac deceleration and increased phasic electrodermal activity following true positives, false positives and false negatives errors, but not subsequent to true negative outcomes.ConclusionsThese findings suggest that there may be merit in complementing single-switch input with autonomic measurements to improve augmentative and alternative communications for pediatric access technology users.

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Section: Introductionmentioning

confidence: 99%

Autonomic responses to correct outcomes and interaction errors during single-switch scanning among children with severe spastic quadriplegic cerebral palsy

Leung

Chau

2014

Journal of NeuroEngineering and Rehabilitation

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“…Enabling equipment [58], assistive technology [66, 87], and, in particular, communication technology [45, 53, 56, 64, 66, 81, 87] were referred to as important facilitators of interpersonal interactions and relationships. Lack of a mobile (cell) phone was raised by one study as a significant negative factor for interpersonal interactions [53].…”

Section: Resultsmentioning

confidence: 99%

Factors Which Facilitate or Impede Interpersonal Interactions and Relationships after Spinal Cord Injury: A Scoping Review with Suggestions for Rehabilitation

Amsters

Schuurs

Pershouse

et al. 2016

Rehabilitation Research and Practice

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Interpersonal interactions and relationships can influence an individual's perceptions of health and quality of life in the presence of disability. In the case of people with spinal cord injury (SCI), positive interpersonal interactions and relationships have been shown to contribute to resilience and adaptability. Understanding factors which facilitate or impede the development and maintenance of relationships after SCI may form the basis for proactive relationship support for people with SCI. To gain a broad insight into these factors, a scoping review was undertaken. Databases were searched for English language studies published between 2000 and 2015 that informed the review question. Sixty-two (62) studies were identified. Thematic analysis was conducted on data extracted from the studies and 51 factors which may facilitate relationships and 38 factors which may impede relationships after SCI were noted. The majority of factors could be categorized as environmental or personal according to the domains of the International Classification of Functioning, Disability, and Health (ICF). The facilitating factors included partner and social support, reciprocity in relationships, and presenting oneself positively. Impeding factors included physical environmental barriers, real and perceived social biases, and poor self-image. Factors identified may inform the provision of supportive, holistic rehabilitation for people with SCI.

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“…The RP may thus serve as an identifying cue for voluntary control in the presence of excessive unintentional movements, such as those characteristic of athetoid cerebral palsy (Hou et al, 2006 ). In addition, the RP associated with extant fine movements may be particularly informative for those with severe disabilities, due to, for example, cervical spinal cord injury (Blain et al, 2010 ) or degenerative neuromuscular conditions (Power and Chau, 2013 ), where only residual motor activity is retained. Moreover, a RP-based BCI with three or more states would expand the options for functional control beyond that of a binary system.…”

Section: Introductionmentioning

confidence: 99%

A Ternary Brain-Computer Interface Based on Single-Trial Readiness Potentials of Self-initiated Fine Movements: A Diversified Classification Scheme

Zeid

Sereshkeh

Schultz

et al. 2017

Front. Hum. Neurosci.

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In recent years, the readiness potential (RP), a type of pre-movement neural activity, has been investigated for asynchronous electroencephalogram (EEG)-based brain-computer interfaces (BCIs). Since the RP is attenuated for involuntary movements, a BCI driven by RP alone could facilitate intentional control amid a plethora of unintentional movements. Previous studies have mainly attempted binary single-trial classification of RP. An RP-based BCI with three or more states would expand the options for functional control. Here, we propose a ternary BCI based on single-trial RPs. This BCI classifies amongst an idle state, a left hand and a right hand self-initiated fine movement. A pipeline of spatio-temporal filtering with per participant parameter optimization was used for feature extraction. The ternary classification was decomposed into binary classifications using a decision-directed acyclic graph (DDAG). For each class pair in the DDAG structure, an ordered diversified classifier system (ODCS-DDAG) was used to select the best among various classification algorithms or to combine the results of different classification algorithms. Using EEG data from 14 participants performing self-initiated left or right key presses, punctuated with rest periods, we compared the performance of ODCS-DDAG to a ternary classifier and four popular multiclass decomposition methods using only a single classification algorithm. ODCS-DDAG had the highest performance (0.769 Cohen's Kappa score) and was significantly better than the ternary classifier and two of the four multiclass decomposition methods. Our work supports further study of RP-based BCI for intuitive asynchronous environmental control or augmentative communication.

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Bedside computer access for an individual with severe and multiple disabilities: A case study

Cited by 23 publications

References 28 publications

Autonomic responses to correct outcomes and interaction errors during single-switch scanning among children with severe spastic quadriplegic cerebral palsy

Autonomic responses to correct outcomes and interaction errors during single-switch scanning among children with severe spastic quadriplegic cerebral palsy

Factors Which Facilitate or Impede Interpersonal Interactions and Relationships after Spinal Cord Injury: A Scoping Review with Suggestions for Rehabilitation

A Ternary Brain-Computer Interface Based on Single-Trial Readiness Potentials of Self-initiated Fine Movements: A Diversified Classification Scheme

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