Single-Trial Analysis of Inter-Beat Interval Perturbations Accompanying Single-Switch Scanning: Case Series of Three Children With Severe Spastic Quadriplegic Cerebral Palsy

Single-switch access in conjunction with scanning remains a fundamental solution in restoring communication for many children with profound physical disabilities. However, untimely switch inaction and unintentional switch activations can lead to user frustration and impede functional communication. A previous preliminary study, in the context of a case series with three single-switch users, reported that correct, accidental and missed switch activations could elicit cardiac deceleration and increased phasic skin conductance on average, while deliberate switch non-use was associated with autonomic nonresponse. The present study investigated the possibility of using blood volume pulse recordings from the same three pediatric single-switch users to track the aforementioned switch events on a single-trial basis. Peaks of the line length time series derived from the empirical mode decomposition of the inter-beat interval time series matched, on average, a high percentage (above 80%) of single-switch events, while unmatched peaks coincided moderately (below 37%) with idle time during scanning. These results encourage further study of autonomic measures as complementary information channels to enhance single-switch access.

[1]  M. S. Woolfson,et al.  Application of empirical mode decomposition to heart rate variability analysis , 2001, Medical and Biological Engineering and Computing.

[2]  Hans-Jochen Heinze,et al.  Association between heart rate variability and fluctuations in resting-state functional connectivity , 2013, NeuroImage.

[3]  Dimitrios Hatzinakos,et al.  ECG Pattern Analysis for Emotion Detection , 2012, IEEE Transactions on Affective Computing.

[4]  E. Crone,et al.  Development of decision making in school-aged children and adolescents: evidence from heart rate and skin conductance analysis. , 2007, Child development.

[5]  Tom Chau,et al.  Autonomic responses to correct outcomes and interaction errors during single-switch scanning among children with severe spastic quadriplegic cerebral palsy , 2014, Journal of NeuroEngineering and Rehabilitation.

[6]  Girijesh Prasad,et al.  Designing a virtual keyboard with multi-modal access for people with disabilities , 2011, 2011 World Congress on Information and Communication Technologies.

[7]  Tom Chau,et al.  The design and testing of a novel mechanomyogram-driven switch controlled by small eyebrow movements , 2010, Journal of NeuroEngineering and Rehabilitation.

[8]  A. Mihailidis,et al.  Peripheral Autonomic Signals as Access Pathways for Individuals with Severe Disabilities: A Literature Appraisal , 2008 .

[9]  M. O'Reilly,et al.  A microswitch-based programme to enable a boy with multiple disabilities and minimal motor behaviour to choose among environmental stimuli , 2006, Disability and rehabilitation. Assistive technology.

[10]  Tom Chau,et al.  Automatic single-trial classification of prefrontal hemodynamic activity in an individual with Duchenne muscular dystrophy , 2013, Developmental neurorehabilitation.

[11]  T Chau,et al.  Infrared thermal imaging as a physiological access pathway: a study of the baseline characteristics of facial skin temperatures , 2009, Physiological measurement.

[12]  Jin-Shin Lai,et al.  SEMG-controlled telephone interface for people with disabilities , 2002, Journal of medical engineering & technology.

[13]  Margrit Betke,et al.  Communication via eye blinks and eyebrow raises: video-based human-computer interfaces , 2003, Universal Access in the Information Society.

[14]  Tom Chau,et al.  Towards a multimodal brain–computer interface: Combining fNIRS and fTCD measurements to enable higher classification accuracy , 2013, NeuroImage.

[15]  T. Chau,et al.  A multiple camera tongue switch for a child with severe spastic quadriplegic cerebral palsy , 2010, Disability and rehabilitation. Assistive technology.

[16]  R. Simons,et al.  To err is autonomic: error-related brain potentials, ANS activity, and post-error compensatory behavior. , 2003, Psychophysiology.

[17]  Raymond J. Dolan,et al.  Anterior cingulate activity during error and autonomic response , 2005, NeuroImage.

[18]  J. Rose,et al.  ENERGY COST INDEX AS AN ESTIMATE OF ENERGY EXPENDITURE OF CEREBRAL‐PALSIED CHILDREN DURING ASSISTED AMBULATION , 1985, Developmental medicine and child neurology.

[19]  Leung Brian,et al.  Learning and mastery behaviours as risk factors to abandonment in a paediatric user of advanced single-switch access technology , 2013, Disability and rehabilitation. Assistive technology.

[20]  A. Petrock,et al.  Total wavelet entropy analysis of cyclic exercise protocol on heart rate variability , 2004, IEEE 30th Annual Northeast Bioengineering Conference, 2004. Proceedings of the.

[21]  Yoshiaki Saitoh,et al.  Development of communication supporting device controlled by eye movements and voluntary eye blink , 2006, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[22]  Autonomic nervous system correlates to readiness state and negative outcome during visual discrimination tasks. , 2012, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[23]  Stéphane Mallat,et al.  A Wavelet Tour of Signal Processing - The Sparse Way, 3rd Edition , 2008 .

[24]  Tom Chau,et al.  A case study of linear classifiers adapted using imperfect labels derived from human event-related potentials , 2014, Pattern Recognit. Lett..

[25]  R. Esteller,et al.  Comparison of line length feature before and after brain electrical stimulation in epileptic patients , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[26]  P. Rosenbaum,et al.  Development of the Gross Motor Function Classification System for cerebral palsy , 2008, Developmental medicine and child neurology.

[27]  Daniel Rivero,et al.  Automatic epileptic seizure detection in EEGs based on line length feature and artificial neural networks , 2010, Journal of Neuroscience Methods.

[28]  T. Chau,et al.  A Review of EEG-Based Brain-Computer Interfaces as Access Pathways for Individuals with Severe Disabilities , 2013, Assistive technology : the official journal of RESNA.

[29]  T. Chau,et al.  Infrared thermography as an access pathway for individuals with severe motor impairments , 2009, Journal of NeuroEngineering and Rehabilitation.

[30]  Tom Chau,et al.  Augmentative Communication Based on Realtime Vocal Cord Vibration Detection , 2010, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[31]  G.G.S Pegram,et al.  Empirical mode decomposition using rational splines: an application to rainfall time series , 2008, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[32]  D. Menicucci,et al.  Deriving the respiratory sinus arrhythmia from the heartbeat time series using empirical mode decomposition , 2003, q-bio/0310002.

[33]  H. Critchley,et al.  Cerebral correlates of autonomic cardiovascular arousal: a functional neuroimaging investigation in humans , 2000, The Journal of physiology.

[34]  N. Huang,et al.  The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[35]  M. W. van der Molen,et al.  Differential involvement of the aterior cingulated cortex in performance monitoring during a stop-signal task , 2005 .

[36]  Tom Chau,et al.  A Review of Emerging Access Technologies for Individuals With Severe Motor Impairments , 2008, Assistive technology : the official journal of RESNA.

[37]  Nirbhay N. Singh,et al.  Contingent and Noncontingent Reinforcement for Intervention and Assessment with Persons with Profound Multiple Disabilities and Post-Coma Vegetative State , 2006 .

[38]  Markus Ullsperger,et al.  Error Awareness Revisited: Accumulation of Multimodal Evidence from Central and Autonomic Nervous Systems , 2011, Journal of Cognitive Neuroscience.

[39]  J. Andersson,et al.  Functional neuroanatomical correlates of electrodermal activity: a positron emission tomographic study. , 1998, Psychophysiology.

[40]  Frédéric Bousefsaf,et al.  Continuous wavelet filtering on webcam photoplethysmographic signals to remotely assess the instantaneous heart rate , 2013, Biomed. Signal Process. Control..

[41]  Tom Chau,et al.  A Brain-Computer Interface Based on Bilateral Transcranial Doppler Ultrasound , 2011, PloS one.

[42]  Monika Althaus,et al.  Physiological correlates of learning by performance feedback in children: a study of EEG event-related potentials and evoked heart rate , 2007, Biological Psychology.

[43]  P. Gryfe,et al.  Freedom through a single switch: coping and communicating with artificial ventilation , 1996, Journal of the Neurological Sciences.

[44]  Alex Mihailidis,et al.  Assessing the potential of electrodermal activity as an alternative access pathway. , 2008, Medical engineering & physics.