@article{MirallesVargiuDauwalderetal.2015,
  author    = {Miralles, Felip and Vargiu, Eloisa and Dauwalder, Stefan and Sol{\`a}, Marc and M{\"u}ller-Putz, Gernot and Wriessnegger, Selina C. and Pinegger, Andreas and K{\"u}bler, Andrea and Halder, Sebastian and K{\"a}thner, Ivo and Martin, Suzanne and Daly, Jean and Armstrong, Elaine and Guger, Christoph and Hinterm{\"u}ller, Christoph and Lowish, Hannah},
  title     = {Brain computer interface on track to home.},
  series = {The Scientific World Journal},
  volume    = {2015},
  journal   = {The Scientific World Journal},
  number    = {623896},
  doi       = {10.1155/2015/623896},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-149575},
  year      = {2015},
  abstract  = {The novel BackHome system offers individuals with disabilities a range of useful services available via brain-computer interfaces (BCIs), to help restore their independence. This is the time such technology is ready to be deployed in the real world, that is, at the target end users' home. This has been achieved by the development of practical electrodes, easy to use software, and delivering telemonitoring and home support capabilities which have been conceived, implemented, and tested within a user-centred design approach. The final BackHome system is the result of a 3-year long process involving extensive user engagement to maximize effectiveness, reliability, robustness, and ease of use of a home based BCI system. The system is comprised of ergonomic and hassle-free BCI equipment; one-click software services for Smart Home control, cognitive stimulation, and web browsing; and remote telemonitoring and home support tools to enable independent home use for nonexpert caregivers and users. BackHome aims to successfully bring BCIs to the home of people with limited mobility to restore their independence and ultimately improve their quality of life.},
  language  = {en}
}
@article{MartensBenschHalderetal.2014,
  author    = {Martens, Suzanne and Bensch, Michael and Halder, Sebastian and Hill, Jeremy and Nijboer, Femke and Ramos-Murguialday, Ander and Schoelkopf, Bernhard and Birbaumer, Niels and Gharabaghi, Alireza},
  title     = {Epidural electrocorticography for monitoring of arousal in locked-in state},
  series = {Frontiers in Human Neuroscience},
  volume    = {8},
  journal   = {Frontiers in Human Neuroscience},
  doi       = {10.3389/fnhum.2014.00861},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-114863},
  pages     = {861},
  year      = {2014},
  abstract  = {Electroencephalography (EEG) often fails to assess both the level (i.e., arousal) and the content (i.e., awareness) of pathologically altered consciousness in patients without motor responsiveness. This might be related to a decline of awareness, to episodes of low arousal and disturbed sleep patterns, and/or to distorting and attenuating effects of the skull and intermediate tissue on the recorded brain signals. Novel approaches are required to overcome these limitations. We introduced epidural electrocorticography (ECoG) for monitoring of cortical physiology in a late-stage amytrophic lateral sclerosis patient in completely locked-in state (CLIS) Despite long-term application for a period of six months, no implant related complications occurred. Recordings from the left frontal cortex were sufficient to identify three arousal states. Spectral analysis of the intrinsic oscillatory activity enabled us to extract state-dependent dominant frequencies at <4, similar to 7 and similar to 20 Hz, representing sleep-like periods, and phases of low and elevated arousal, respectively. In the absence of other biomarkers, ECoG proved to be a reliable tool for monitoring circadian rhythmicity, i.e., avoiding interference with the patient when he was sleeping and exploiting time windows of responsiveness. Moreover, the effects of interventions addressing the patient's arousal, e.g., amantadine medication, could be evaluated objectively on the basis of physiological markers, even in the absence of behavioral parameters. Epidural ECoG constitutes a feasible trade-off between surgical risk and quality of recorded brain signals to gain information on the patient's present level of arousal. This approach enables us to optimize the timing of interactions and medical interventions, all of which should take place when the patient is in a phase of high arousal. Furthermore, avoiding low responsiveness periods will facilitate measures to implement alternative communication pathways involving brain-computer interfaces (BCI).},
  language  = {en}
}